The terms used in this specification will be briefly described and the present invention will be described in detail.
While the present invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiments. Also, in certain cases, there may be a term selected arbitrarily by the applicant, in which case the meaning thereof will be described in detail in the description of the corresponding invention. Therefore, the term used in the present invention should be defined based on the meaning of the term, not on the name of a simple term, but on the entire contents of the present invention.
In this specification, the electronic device may be a wearable device including a sensor for measuring the length. For example, the electronic device may be in the form of a string that wraps around the waist, a band that wraps around the arm or wrist, or a watch. Hereinafter, for convenience of explanation, the case where the electronic device is a smart belt is described as an example, but the present invention is not limited thereto.
When an element is referred to as "including" an element throughout the specification, it is to be understood that the element may include other elements as well, without departing from the spirit or scope of the present invention. Also, the terms "part," " module, "and the like described in the specification mean units for processing at least one function or operation, which may be implemented in hardware or software or a combination of hardware and software .
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.
1 is a view for explaining a waist circumference management system according to an embodiment.
Referring to FIG. 1, a waist circumference management system according to an embodiment may include a smart belt 100 and a host terminal 200. However, not all illustrated components are required. The waist circumference management system may be implemented by more components than the illustrated components, or the waist circumference management system may be implemented by fewer components. For example, the waist circumference management system may be implemented by only the smart belt 100, or may include a server in addition to the smart belt 100 and the host terminal 200. [ The case where the waist circumference management system includes the smart belt 100, the host terminal 200 and the server will be described in detail later with reference to Fig.
Hereinafter, the components will be described in order.
The smart belt 100 means a belt that surrounds the waist of the clothes so that the pants or the skirt does not flow down. The smart belt 100 may be a device capable of measuring the waist circumference of the user. According to one embodiment, the smart belt 100 can determine the waist circumference of the user by measuring the length between the first point and the second point on the smart belt 100. That is, the length between the first point and the second point may correspond to the waist circumference. Here, the smart belt 100 may be implemented in various forms and materials.
According to one embodiment, the smart belt 100 may include at least one sensor. For example, the smart belt 100 may include a magnetic sensor, an acceleration sensor, a tilt sensor, a gyroscope sensor, an optical sensor, an image sensor, a tension sensor, a proximity sensor, a magnetic sensor (hereinafter also referred to as a magnetic sensor) And a temperature sensor. However, the present invention is not limited thereto.
The smart belt 100 can detect the wear of the user's smart belt 100, detect the movement of the user, measure the waist circumference of the user, or measure the tension of the smart belt 100 using at least one sensor Can be measured. Tension can refer to the force that pulls both sides perpendicular to a plane at any plane within an object. In addition, the smart belt 100 may correct the measured waist circumference according to the tension of the smart belt 100. The sensors included in the smart belt 100 will be described later in detail with reference to FIGS. 3A and 3B.
According to one embodiment, the smart belt 100 may automatically adjust the length of the portion surrounding the waist. For example, the smart belt 100 may increase the length of the portion of the waist when the user is seated and reduce the length of the portion of the waist that fits the body when the user is awake.
On the other hand, the smart belt 100 can communicate with an external device via a network. According to one embodiment, the network may be implemented by wireless communication technologies such as Wi-Fi (Wireless Fidelity), Home RF, Bluetooth, HR WPAN, UWB, LR WPAN, IEEE 1394, but is not limited thereto.
For example, the smart belt 100 may transmit information related to waist circumference to the host terminal 200. [ Also, the smart belt 100 may transmit tension information, respiration information, user's overeating information, user's motion information, and the like to the host terminal 200. The smart belt 100 may transmit the commute / departure information, the nighttime information, the bowel movement information, the sitting total time information, the seizure or fall information, the smoking information, the laughing information and the like to the host terminal 200.
The host terminal 200 may be a device including a display capable of outputting information. For example, the host terminal 200 may output information related to the health of the user (e.g., information related to the waist circumference), a notification message, and a warning message.
The host terminal 200 according to one embodiment may be implemented in various forms. For example, the host terminal 200 may be a digital camera, a smart phone, a laptop computer, a tablet PC, an electronic book terminal, a digital broadcast terminal, a PDA (personal digital assistant) Player, navigation, MP3 player, and the like. The host terminal 200 described herein may be a wearable device that can be worn by a user. A wearable device may be an accessory-type device (e.g., a watch, a ring, a bracelet, an ankle, a necklace, a glasses, a contact lens), a head-mounted-device (HMD), a fabric or a garment- ), A body-attachment device (e.g., a skin pad), or a bio-implantable device (e.g., an implantable circuit).
The user can check his or her health condition by checking the information about the waist circumference displayed on the host terminal 200 (on the side of the explanation or the waist circumference information). Waist circumference is a prerequisite for the diagnosis of metabolic syndrome and is used as a more important factor in determining obesity than body mass index (BMI). Therefore, there is a need for a system that provides the user with accurate waist circumference information and manages the user's waist circumference information.
Hereinafter, the external configuration of the smart belt 100 for measuring or correcting the waist circumference of the user will be described in more detail with reference to FIG.
2 is a view for explaining a smart belt according to an embodiment.
Referring to 200-1 and 200-2 of FIG. 2, the smart belt 100 may include a buckle portion 10, a clip portion 20, and a belt portion 30. The components will be discussed in turn.
The buckle portion 10 may include a device capable of tightening the belt portion 30. The buckle portion 10 may be a buckle such as a cinch buckle, a ring buckle, a plate buckle, a rectangle buckle, a clasp buckle, a frame buckle, a trench buckle, etc. And can be implemented in various forms.
The clip portion 20 is a portion that connects the buckle portion 10 and the belt portion 30. According to one embodiment, the clip portion 20 may include a ring to which the end portion of the belt portion 30 can be fixed.
According to one embodiment, the clip portion 20 may include at least one sensor and a processor. For example, the clip portion 20 may include at least one of a geomagnetic sensor, an acceleration sensor, a tilt sensor, a gyroscope sensor, an optical sensor, an image sensor, a proximity sensor, a temperature sensor, But it is not limited thereto.
According to one embodiment, the belt portion 30 may be embodied in a variety of materials, such as leather or cloth. According to one embodiment, the belt portion 30 may be marked with an indication indicating an absolute position. For example, the belt section 30 may be marked with a two-dimensional code, a color code, an absolute encoder code, and the like. Alternatively, the belt portion 30 may be marked with an indication indicating a relative position. For example, the same indications may be displayed on the belt portion 30 at regular intervals.
According to one embodiment, the waist circumference sensor (also referred to as a length measuring sensor for convenience of description) of the smart belt 100 measures the waist circumference of the user using the indications displayed on the belt section 30 . The waist circumference sensor for measuring the waist circumference of the user will be described later in detail with reference to Figs. 3A and 3B.
Meanwhile, according to one embodiment, a tension sensor may be positioned between the clip portion 20 and the belt portion 30. The tension sensor may be a sensor for measuring the amount of tension or tension applied to the smart belt 100, and the like. Here, the tension sensor may include, but is not limited to, a force sensing resistor (FSR) sensor 102 or a strain gauge 106.
For example, the FSR sensor 102 may be located on the inside 21 of the clip portion 20. The FSR sensor 102 can measure a dynamic force (e.g., tensile force) using a resistance change caused by a force or a pressure applied to a surface. For example, when the user's waist circumference increases, the FSR sensor 102 senses the resistance change due to the pressure applied to the FSR sensor 102 and recognizes that the tension of the smart belt 100 increases .
According to one embodiment, the strain gage 106 may be attached to the connecting surface 106 connecting the clip portion 20 and the belt portion 30. The strain gauge 106 may be a sensor for measuring a change in a fine dimension or a strain occurring on the surface.
The strain gauge 106 refers to a value obtained by dividing the strain from the characteristic that the electrical resistance changes when the object is deformed. Can be measured.
2, the clip unit 20 includes a sensor and a processor. However, the present invention is not limited thereto. For example, the buckle portion 10 may include a sensor and a processor.
Hereinafter, the internal structure of the smart belt 100 will be described with reference to FIG. 3A.
FIG. 3A is a block diagram illustrating a configuration of a smart belt according to an embodiment.
3A, the smart belt 100 may include an inertial sensor (IMU sensor) 111, a waist circumference sensor 112, a tension sensor 113, a control unit 120, and a communication unit 130. However, not all illustrated components are required. The smart belt 100 may be implemented by more components than the components shown, and the smart belt 100 may be implemented by fewer components. Hereinafter, the components will be described in order.
The inertial sensor (IMU sensor) 111 may be composed of an acceleration sensor for measuring the gravitational force and a gyro sensor for measuring the angular acceleration. According to one embodiment, the inertial sensor (IMU sensor) 111 may comprise a geomagnetic sensor, a magnetic sensor.
According to one embodiment, the inertial sensor 111 can acquire motion information of the user. The motion information of the user may be information on the motion of the user wearing the smart belt 100. For example, the motion information of the user may include at least one of the motion of the user, the velocity of the user, the direction of movement of the user, the inclination of the user, and the altitude information of the user. The movement information of the user includes information on the user's body (for example, body temperature information, respiration information, sweat discharge amount information, etc.), position information of the user (e.g., GPS coordinate value information, local information, building information, Etc.). The biometric information of the user and the user's positional information can be measured by sensors other than the inertial sensor 111. [
The inertial sensor 111 may transmit the motion information of the user to the control unit 120 when acquiring the motion information of the user (e.g., moving speed, moving direction, etc.).
The waistline sensor 112 can measure the waist circumference of the user wearing the smart belt 100. [ The method of measuring the waist circumference by the waist circumference sensor 112 may be various. The waistline sensor 112 may include, but is not limited to, an optical sensor, an image sensor, a magnetic sensor, and the like.
According to one embodiment, the waistline sensor 112 may measure the waist circumference using an incremental linear encoder method using an optical sensor.
For example, when a mark is attached at regular intervals from the end of the belt portion 30, the optical sensor can convert a physical signal that light passed through the mark to pass through the mark to a pulse signal. At this time, the controller can measure the linear displacement value by counting the pulse signal, and the waist circumference can be calculated using the linear displacement value. For example, when the interval between the marks is 1 cm and the optical sensor recognizes the mark 5 times, the waist circumference sensor 112 calculates a value (85 cm) subtracting 5 cm from the entire length (90 cm) of the belt portion 30 It can be calculated to the waist circumference of the user. According to one embodiment, a physical protrusion may be used instead of a slip mark.
According to an exemplary embodiment, the waist-circumference sensor 112 may measure the waist circumference using an absolute linear encoder using an optical sensor.
For example, when bar codes containing an absolute position and / or absolute length information are marked on the belt section 30, the waist circumference sensor 112 may use the optical sensor to identify the bar code value, The circumference can be measured. For example, when the first bar code value recognized by the optical sensor indicates '85 cm', the waist circumference sensor 112 may determine the waist circumference of the user to be 85 cm.
According to one embodiment, when the buckle portion 10 or the clip portion 20 includes a rotating body, the waistline sensor 112 may measure the waist circumference of the user by using a rotary encoder. The rotary encoder may mean a device that converts the rotation angle of a shaft into an electrical signal (pulse) and outputs the electrical signal (pulse).
According to one embodiment, the waist circumference sensor 112 may measure the waist circumference by an incremental rotary encoder method. At this time, the rotating body may have a black pattern.
For example, when the user wears the smart belt 100, the light emitted from the light emitting element of the photosensor can be transmitted or blocked while the rotating body with the black pattern is rotated. The transmitted light is converted into a current by the light receiving element of the optical sensor, and this electric signal can be outputted as a square wave pulse through the waveform shaping circuit and the output circuit. The waist-circumference sensor 112 counts the output pulse signal to calculate the waist circumference of the user.
According to one embodiment, when the buckle portion 10 or the clip portion 20 includes a rotating body, the waist circumference sensor 112 may measure waist circumference by an absolute rotary encoder method.
An absolute rotary encoder method is a method of dividing 360 degrees at a predetermined ratio based on a 0 ° point of a shaft and generating an electrical digital code (for example, a BCD code, a binary code, Gray code) and outputs it to the designated digital code according to the rotation position of the rotation axis.
According to one embodiment, the waist circumference sensor 112 may measure the waist circumference of the user using an image sensor.
For example, the waist circumference sensor 112 may compare the image of the belt part 30 obtained through the image sensor with the reference image so that the buckle part 10 or the clip part 20 can be positioned on the belt part 30, Which is located at a certain point on the screen.
According to one embodiment, when the waist circumference sensor 112 measures the waist circumference of the wearer wearing the smart belt 100, the waist circumference sensor 112 may transmit information about the measured waist circumference to the control unit 120.
According to one embodiment, the waist-circumference sensor 112 may measure the waist circumference of the user using a magnetic sensor. For example, referring to FIG. 3B, when the smart belt 100 is a belt whose length is adjusted through a plurality of holes 301, the waistline sensor 112 uses a magnetic sensor 303, It is possible to determine which hole in the hole 301 is currently used.
For example, at the end of the smart belt 100, a plurality of magnet lines 302 may be formed at regular intervals. At this time, the magnets on each magnet line may be located inside the smart belt 100 so that they are invisible. In addition, the spacing between the plurality of magnet lines 302 may coincide with the spacing between the holes. The magnetic sensor 303 capable of recognizing the magnets 302 is located at a certain distance from the ring magnet.
When the user wears the smart belt using the first hole, the magnetic sensor 303 can recognize the first magnet line. At this time, since the magnet is located in the last row in the first magnet line, the magnetic sensor 303 can recognize the magnet value as '001' by using the binary code. At this time, if '001' is converted into decimal code, it becomes '1', so that the waistline sensor 112 can recognize that the user is using the first hole. The waist-circumference sensor 112 can determine the waist circumference of the user to be '85 cm', which is the length corresponding to the first hole.
Further, when the user wears the smart belt using the second hole, the magnetic sensor 303 can recognize the second magnet line. At this time, since the magnet is located in the middle row in the second magnet line, the magnetic sensor 303 can recognize the magnet value as '010' by using the binary code. At this time, if '010' is converted into decimal code, it becomes '1', so that the waistline sensor 112 can recognize that the user is using the second hole. The waist circumference sensor 112 may determine the waist circumference of the user to be '87 cm' which is the length corresponding to the second hole. Meanwhile, according to one embodiment, the magnetic sensor 303 may operate as a detachment detection sensor. For example, when the user removes the smart belt 100, the magnetic sensor 303 is no longer able to detect the magnet. When the magnet is not detected, the magnetic sensor 303 recognizes the magnet value as '000' and can transmit 'magnet value: 000' to the control unit. At this time, when '000' is received from the magnetic sensor 303, the control unit can determine that the user has left the smart belt 100.
The tension sensor 113 may be a sensor for measuring the amount of tension or tension applied to the smart belt 100, and the like. Here, the tension sensor 113 may include, but is not limited to, a force sensing resistor (FSR) sensor 102 or a strain gauge 106, as shown in FIG.
The tension sensor 113 can measure the tension of the smart belt 100 by measuring a change in capacitance, a change in magnetic strength, a change in natural frequency, a change in restoring force, etc. in addition to the change in resistance. Since the tension sensor 113 has been described with reference to FIG. 2, a detailed description thereof will be omitted.
The tension sensor 113 can transmit the tension information (for example, the tension value and the amount of tension change) to the control unit 120 when measuring the amount of tension or tension of the smart belt 100. [
The control unit 120 may control a plurality of hardware or software components connected to the control unit 120 by driving an operating system or an application program, and may perform various data processing and calculations.
For example, the control unit 120 controls the inertial sensor 111, the waist circumference sensor 112, and the tension sensor 113 to detect movement information of the user, waist circumference information of the user, tension information of the smart belt 100 Can be obtained. The control unit 120 can also control the communication unit 130 to transmit data to or receive data from the external host terminal 200. [
On the other hand, if the user wearing the smart belt 100 is sitting or lying down, or if the user artificially forces the abdomen, even if the waist circumference sensor 112 measures the waist circumference of the user, It may not be accurate. Therefore, the control unit 120 of the smart belt 100 can control the waistline sensor 112 to measure the waist circumference in a state in which the user stands properly without being aware of measuring the waist circumference. The control unit 120 may also correct the waist circumference measured by the waist circumference sensor 112 based on the tension information of the smart belt 100. [
Hereinafter, with reference to FIG. 4, an operation of measuring the waist circumference in consideration of the motion of the user and correcting the waist circumference using the tension information of the smart belt 100 will be described in detail do.
4 is a flowchart for explaining a waist circumference correcting method according to an embodiment.
In step S410, the smart belt 100 may acquire the motion information of the user wearing the smart belt 100. [
According to one embodiment, the smart belt 100 may use at least one sensor to determine whether the user is wearing the smart belt 100. [ For example, the smart belt 100 can determine whether the user wears or detaches the smart belt 100 using an optical sensor, a proximity sensor, a pressure sensor, a tension sensor 113, an illuminance sensor, a magnetic sensor, . For example, the smart belt 100 can determine that the user wears the smart belt 100 when the tension value measured by the tension sensor 113 is equal to or greater than a threshold value.
According to one embodiment, the smart belt 100 can more accurately determine whether the user wears the smart belt 100 by combining information measured using a plurality of sensors.
According to one embodiment, when it is determined that the user wears the smart belt 100, the smart belt 100 may sense the motion of the user using the inertial sensor 111. [ For example, the smart belt 100 can acquire user's movement, user's moving speed information, user's moving direction information, user's tilt information, and user's altitude information.
In addition, the smart belt 100 may acquire position information of a user (e.g., GPS coordinate value information, local information, building information, position change amount information for a predetermined time) using a position sensor, (For example, body temperature information, breathing information, sweat discharge amount information, etc.) of the user.
According to an exemplary embodiment, the smart belt 100 may acquire motion information of a user at predetermined intervals. For example, the smart belt 100 may acquire motion information of the user at intervals of 10 minutes.
In addition, the smart belt 100 may acquire the user's motion information at a predefined time. For example, the smart belt 100 may be used between 7 am and 8 am when the user goes to work, or between 12 pm and 13 am when the user goes to lunch, or between 19 am and 20 pm when the user goes off The user's motion information can be obtained. According to one embodiment, the predefined time may be changed by user input or user context information.
In step S420, the smart belt 100 may determine the motion state of the user using the motion information of the user.
Here, the user's movement state may be a walking state, a standing state (an upright state or an oblique standing state), a stair climbing state, a beating state, a sleeping state, a driving state, But are not limited to, a state of being in a state of being in a state of being in a conversation, a state of being in conversation), a movement (e.g., jogging, swimming, tennis, basketball,
The smart belt 100 may use at least one of an acceleration value, a slope value, a position value, and a pressure value to determine whether the user is in a stopped state, a walking state, or a running state. For example, the smart belt 100 uses the acceleration information measured by the acceleration sensor to determine that 1) the user is stationary when the user moves on average 0.001 km / h for a certain period of time, 2) If the user moves on average 4 km / h during the time, the user is judged to be walking. 3) If the user moves on average 15 km / h for a certain period of time, the user can be judged to be running.
Further, the smart belt 100 may be configured to use the position change amount information measured by the position sensor so as to determine whether the user is in a stop state (e.g., a position change amount < a first change value) (E.g., a second change value) or a beating state (e.g., a second change value? A position change amount).
Meanwhile, according to an embodiment of the present invention, the smart belt 100 may determine the movement state of the user using the context information of the user. The context information may be stored in the personalization server of the user, the host terminal 200, or the smart belt 100.
For example, the smart belt 100 can determine the movement state of the user using the user's schedule information and life pattern information. If the user moves from the home to a specific location (for example, company) at 8:00 on weekdays, the smart belt 100 stores the information on the time of the user's work, the information on the working distance, . Therefore, if the current time is Monday at 8:20 in the morning and the present location is near the subway station, the smart belt 100 can determine that the user is in the office.
Also, if the average moving speed of the user is 0.0001 km / h for a certain period of time and the user is located in the office for a predetermined time, the smart belt 100 may determine that the user is working.
According to an embodiment of the present invention, the smart belt 100 may analyze the motion state of a user using biometric information measured in an external wearable device. A wearable device according to an embodiment of the present invention may include, but is not limited to, rings, necklaces, bands, wrist watches, shoes, earrings, hair bands, clothes, gloves,
For example, the smart belt 100 can receive pulse rate information, blood pressure information, heart rate information, body temperature information, and the like measured at the wearable device. At this time, the smart belt 100 may receive biometric information from the wearable device through the host terminal 200, or may receive the biometric information directly from the wearable device. The smart belt 100 can determine that the user is exercising when the average pulse rate of the user is equal to or greater than the threshold number of times for a predetermined period of time.
According to an embodiment of the present invention, the smart belt 100 may be configured to determine whether the user is in a stopped state, a walking state, or a beating state, using acceleration information, pressure information, altitude information, , Climbing state, and the like. For example, when the user's movement speed is equal to or higher than the threshold value and the pressure pattern of the sole measured by the pressure sensor attached to the running shoes is similar to the pattern of climbing, the smart belt 100 judges that the user is climbing can do.
On the other hand, the smart belt 100 may use the tension information to identify a state in which the smart belt 100 is sitting and standing, and a state in which the smart belt 100 is standing. For example, when the tension of the smart belt 100 is increased, the smart belt 100 determines that the user is standing and sits, and when the tension of the smart belt 100 decreases, Can be judged to be in a state where it is occurring.
In step S430, the smart belt 100 can measure the waist circumference of the user according to the movement state of the user. For example, the smart belt 100 measures the length between the first point and the second point when the sensor measurement value of at least one of the acceleration sensor, the tension sensor, the breath sensor, and the gyro sensor corresponds to the critical range , The waist circumference of the user can be measured.
According to one embodiment, the smart belt 100 may determine a time for measuring the waist circumference of the user based on the movement state of the user. For example, since the waist circumference measurement is generally performed while the user stands comfortably, the smart belt 100 measures the time when the moving speed of the user is less than a critical speed (for example, 0.1 km / h) It can be decided at the time. Alternatively, the smart belt 100 may be determined as a time for measuring the waist circumference when the posture of the user is determined to be an upright state (or an upright fine state).
According to one embodiment, the smart belt 100 may activate the waistline sensor 1112 to measure the waist circumference of the user when it is time to measure the waist circumference of the user.
On the other hand, if it is determined that the moving speed of the user is equal to or higher than the threshold speed or the user is sitting, the smart belt 100 may decide not to measure the waist circumference. Then, the smart belt 100 can keep the waist-circumference sensor 112 in an inactive state.
The waistline sensor 112 of the smart belt 100 can measure the waist circumference of the user wearing the smart belt 100. [ For example, the waist-circumference sensor 112 of the smart belt 100 may use an optical sensor such as an incremental linear encoder method, an absolute linear encoder method, an incremental rotary encoder The circumference of the waist can be measured by an incremental rotary encoder method or an absolute rotary encoder method. In addition, the waist-circumference sensor 112 of the smart belt 100 may measure the waist circumference of the user by using an image sensor or a magnetic field sensor. The method of measuring the waist circumference of the user by the waist circumference sensor 112 of the smart belt 100 has been described with reference to Figs. 3A and 3B, and a detailed description thereof will be omitted here.
Meanwhile, according to one embodiment, the smart belt 100 may measure the waist circumference of the user in the first motion state to obtain the first waist circumference value corresponding to the first motion state. At this time, if the first motion state is not the reference state for measuring the waist circumference, the smart belt 100 may set the first waist circumference value corresponding to the first motion state to the second waist circumference corresponding to the predefined reference state, It can be converted to a perimeter value. At this time, the predefined reference state may be an upright fine state, but is not limited thereto.
For example, if the smart belt 100 measures the waist circumference of the user while the user stands at an oblique angle and obtains the user's first waist circumference value, the first waist circumference value indicates the user's actual waist circumference There may be an error. Accordingly, the smart belt 100 can convert the first waist circumference value to the second waist circumference value in the upright tilted state using the user's body modeling information.
The human body modeling information of the user may be information obtained by analyzing the relationship between the user's attitude and the waist circumference by a machine learning technique. For example, the human body modeling information of a user may include a difference in waist circumference when sitting and standing, a difference in waist circumference when standing upright and obliquely standing, a waist circumference when standing, A circumference difference value, a difference value between the pre-meal and the post-meal waist circumference, and the like, but the present invention is not limited thereto. In step S440, the smart belt 100 can acquire the tension information of the smart belt 100 using the tension sensor 113. [
For example, the smart belt 100 may measure the tension of the smart belt 100 using a force sensing resistor (FSR) sensor 102 or a strain gauge 106, but is not limited thereto . Since the method of measuring the tension of the smart belt 100 has already been described with reference to FIG. 2, a detailed description thereof will be omitted here.
According to one embodiment, the smart belt 100 may acquire the tension information of the smart belt 100 periodically using the tension sensor 113. [ For example, the smart belt 100 may acquire tension information at intervals of 10 minutes.
In addition, the smart belt 100 may acquire tension information at a predefined time. For example, the smart belt 100 may be configured to allow the user to adjust the tension of the user between 7 am and 8 am when the user goes to work, or between 12 am and 13 pm when the user is lunching, Information can be obtained. The predefined time may be changed according to the user input or the user's context information.
According to one embodiment, the smart belt 100 may obtain tension information when a specific event occurs. For example, when an event occurs in which the waist-circumference sensor 112 measures the waist circumference of the user, the smart belt 100 activates the tension sensor 113 to measure the tension value of the smart belt 100 .
Meanwhile, according to one embodiment, the smart belt 100 may correct the tension value measured by the tension sensor 113 according to the movement state of the user. Here, the correction means adding or subtracting an additional value to converge the measured value or the calculated value to a value close to the true value. For example, when the first tension value is measured while the user stands at an oblique position, the measured first tension value can be corrected to the tension value at the upright tilted state. The operation in which the smart belt 100 corrects the tension value will be described later in detail with reference to FIG.
In step S450, the smart belt 100 can correct the measured waist circumference based on the tension information. For example, the smart belt 100 can correct the measured waist circumference (length) using the measured tension and the stored reference tension information. At this time, the reference tension information may include a tension based standard table.
The tension-based standard table may be a table that matches the tension and waist circumference correction values. According to an embodiment, the waist circumference correction value included in the tension-based standard table may be calculated in consideration of the user's body information (for example, sex, age, height, weight, etc.).
For example, according to the tension-based standard table, when the tension is 100 g, the waist circumference correction value is '0', and as the tension is increased from 100 g, the waist circumference correction value may also gradually increase. For example, when the tension is 400 g, the waist circumference correction value is '+ 2 cm', and when the tension is 700 g, the waist circumference correction value may be '+ 4 cm'.
The increase in tension means that the force to tighten the waist of the smart belt 100 is increasing, so that the measured waist circumference must be smaller than the actual waist circumference value.
For example, if the user does not adjust the length of the smart belt 100 even though the user is overeating more than before the meal, the waist circumference measured by the smart belt 100 may be the same before and after the meal . However, in reality, the waist circumference after eating is higher than the waist circumference before eating. Therefore, the smart belt 100 can precisely predict the user's current waist circumference by adding the waist circumference correction value corresponding to the increased tension value to the measured waist circumference value using the tension-based standard table.
According to one embodiment, some of the steps S410 to S450 may be omitted, or the order of some of the steps may be changed.
Hereinafter, with reference to FIGS. 5 to 7B, the operation of the smart belt 100 to provide accurate waist circumference information to the user in consideration of the tension will be described in more detail.
5 is a diagram for explaining a motion detection module and an orientation detection module according to an embodiment.
5, the controller 120 of the smart belt 100 may determine the waist circumference measurement time using the motion detection module 510 and the posture detection module 520. FIG.
For example, the motion detection module 510 may determine that the user is not moving (step == 0) when the acceleration change amount A1-A0 is 0 or more and less than or equal to the threshold value. Then, the motion detection module 510 may transmit to the control unit 120 information indicating that the user is not moving (e.g., the number of steps is 0). At this time, the control unit 120 can measure the waist circumference of the user by controlling the waist circumference sensor 112 because the user is not moving. On the other hand, if the motion detection module 510 determines that the user is moving (step + 1), the controller 120 may deactivate the waist circumference sensor 112 so as not to measure the waist circumference of the user.
The posture detection module 520 can determine the posture of the user by using the acceleration change amount measured by the acceleration sensor, the tension sensor value measured by the tension sensor 113, and the like. For example, if the acceleration variation is greater than the minimum threshold and the tension sensor value is less than the tension threshold, the posture detection module 520 may determine that the posture of the user is standing.
Further, when it is determined that the posture of the user is standing, the posture detection module 520 can determine whether it is appropriate to measure the waist circumference of the current user by using the gyro sensor value measured by the gyro sensor. For example, when the user is standing and the gyro sensor value is within the threshold range (Th0 < = G < = Th1), the posture detection module 520 determines that the state of the user is suitable for measuring waist circumference . With reference to FIG. 6, the state suitable for measuring the waist circumference will be described in more detail.
6 is a diagram for explaining an operation of measuring the waist circumference of the user according to the motion state.
According to one embodiment, the smart belt 100 can determine the motion state of the user based on the information obtained from the inertial sensor 111 or the tension sensor 113. [ For example, the smart belt 100 may use the acceleration information, tilt information, tension information, etc. to determine whether the user is in a sitting 610 state, a walking state 620, or a standing state 630. [
According to one embodiment, when it is determined that the user is in a sitting state 610 or walking state 620, the smart belt 100 determines that the current state of the user is inadequate for measuring the waist circumference, It is not necessary to measure the waist circumference.
Since the waist circumference of the user is generally increased when the user is seated as compared with the case where the user stands, it is difficult for the user to accurately measure the waist circumference in the sitting state 610. In addition, since the waist circumference continuously changes when the user is moving, it is difficult to accurately measure the waist circumference of the user in the user's walking state 620. [
On the other hand, the smart belt 100 can measure the user's waist circumference using the waist circumference sensor 112 when it is determined that the user is in a state of little movement and standing comfortably (630).
FIG. 7A is a view for explaining a circumferential correction algorithm according to an embodiment.
Referring to FIG. 7A, the smart belt 100 may correct the waist circumference measured by the waist circumference sensor 112 by using the circumference correction algorithm 700. FIG. At this time, the perimeter correction algorithm 700 may be an algorithm for correcting the error of the measured waist circumference based on the tension-based standard table or the body modeling information. According to one embodiment, according to the tension-based standard table, when the tension is 100 g, the waist circumference correction value is '0', and as the tension increases from 100 g, the waist circumference correction value may also gradually increase.
For example, if the waist circumference measured by the waist circumference sensor 112 is 81.5 cm and the tension value measured by the tension sensor 113 is 720 g, the smart belt 100 may use the tension based standard table The measured 81.5 cm can be corrected to 85 cm. At this time, the corrected waist circumference (85 cm) may be the actual waist circumference of the user.
Referring to FIG. 7B, the tension-based standard table will be described in further detail. Fig. 7B is a diagram showing experimental data analyzing the correlation between the waist circumference and the tension. Fig. The waist circumference-tension graph (710) was applied to 20 Korean male Korean men with an average height of 175 cm and an average weight of 83 kg. It can be seen that the tension increases by an average of 280.2g each time the belt length is reduced.
In this case, when the tension-based standard table 720 is generated by using the experimental data, the waist-hole correction value becomes' 0 'when the tension is 315.6 g and the waist-side correction value becomes' 2 cm ', And when the tension is 1154.6g, the waist circumference correction value may be' +3 '.
Since the waist-circumference tension graph 710 and the tension-based standard table 720 shown in FIG. 7B are experimental data obtained under a specific condition, when the body condition, age, etc. of the subject are changed, the waist- And tension-based standard table 720 can also be changed.
According to one embodiment, the smart belt 100 may correct waist circumference measured by the waist circumference sensor 112 using the human body modeling information. For example, the smart belt 100 may consider at least one of the user's body information (e.g., key, weight etc.), gender information (e.g., male), and age information The waist circumference measured by the circumferential sensor 112 can be corrected.
According to one embodiment, the human body modeling information may include information analyzing a relationship between at least one of the user's body information, gender, and age and the waist circumference using a machine learning technique. For example, the human body modeling information includes a waist circumference correction value according to body information, a waist circumference correction value according to age, a waist circumference correction value according to sex, a waist circumference correction value according to body information and tension, Waist circumference correction value, sex and waist circumference correction value according to tension, and the like, but the present invention is not limited thereto.
On the other hand, the smart belt 100 corrects the tension value measured by the tension sensor 113 using the human body modeling information, and measures the waist circumference measured by the waist circumference sensor 112 using the corrected tension value It may be corrected. Referring to FIG. 8, the operation of correcting the tension value according to the human body modeling information of the smart belt 100 will be described in further detail.
8 is a flowchart for explaining a method of correcting a tension value according to a user's posture according to an embodiment.
In step S810, the smart belt 100 can determine the user's posture as the first posture using the motion information of the user.
Here, the posture of the user may be a walking posture, a standing posture (an upright state or an oblique standing posture), an up and down stairs, a beating posture, a driving posture, Tennis, basketball, mountain climbing, etc.), a sitting position, a lying position, etc. However, the present invention is not limited thereto.
The smart belt 100 may use at least one of an acceleration value, a slope value, a position value, and a pressure value to determine whether the user is standing or walking. For example, the smart belt 100 uses the acceleration information measured by the acceleration sensor to determine that the user is standing when the user moves on average 0.001 km / h for a certain period of time, and 2) The user is determined to be walking when the user moves on an average of 4 km / h while the user is walking; and 3) the user is determined to be running if the user moves on average 15 km / h for a predetermined time.
Further, when the smart belt 100 determines that the user is standing, the gyro sensor may be used to judge whether the user is standing diagonally or standing upright.
In step S820, the smart belt 100 can measure the first tension value corresponding to the first posture using the tension sensor.
For example, the smart belt 100 may use a force sensing resistor (FSR) sensor 102 or a strain gauge 106 to adjust the first tension value of the smart belt 100 in the first posture Can be measured. Since the method of measuring the tension of the smart belt 100 has already been described with reference to FIG. 2, a detailed description thereof will be omitted here.
In step S830, the smart belt 100 can determine whether the first posture is the reference posture. Here, the reference posture may be a predefined posture that is suitable for measuring waist circumference, for example, an upright posture (upright posture).
For example, when the first posture is an oblique posture, the smart belt 100 can determine that the first posture is not the reference posture. On the other hand, when the first posture is an upright posture, the smart belt 100 can determine that the first posture is the reference posture.
In step S840, the smart belt 100 can correct the measured waist circumference based on the first tension value corresponding to the first posture when the first posture is the reference posture.
For example, if the first posture is an upright posture, the first tension value measured in the first posture may be a suitable tension value that can be used to correct the waist circumference. Accordingly, the smart belt 100 can correct the waist circumference measured by the waist circumference sensor 112 using the first tension value measured in the first posture.
In step S850, when it is determined that the first posture is not the reference posture, the smart belt 100 can estimate the second tension value corresponding to the reference posture using the human body modeling information.
For example, if the first posture is an oblique posture, the first tension value measured in the first posture may not be an accurate tension value that can be used to correct waist circumference. Therefore, the smart belt 100 can convert the first tension value into the second tension value in the reference posture (upright posture). At this time, the smart belt 100 may convert the first tension value into the second tension value according to the human body modeling information.
Here, the human body modeling information may include a tension correction value according to the posture of the user. For example, according to the human body modeling information, the tension correction value corresponding to the sitting posture may be '-100 g', and the tension correction value corresponding to the obliquely standing posture may be '-10 g'.
In step S860, the smart belt 100 may correct the measured waist circumference based on the second tension value. Since step S850 corresponds to step S450 of FIG. 4, a detailed description will be omitted.
Hereinafter, the operation of correcting the tension value according to the user's posture of the smart belt 100 will be described in more detail with reference to FIG.
9 is a view for explaining a tension correction algorithm according to an embodiment.
Referring to FIG. 9, the smart belt 100 can correct the tension value measured by the tension sensor 113 using the tension correction algorithm 900. At this time, the tension correction algorithm 900 may be an algorithm for correcting the error of the tension value according to the posture of the user.
For example, when the tension value of the smart belt 100 measured in the state 901 in which the user is standing obliquely is 730 g, the smart belt 100 calculates the measured tension value (for example, , 730g) into a tension value (e.g., 720g) in the upright state 902. [
On the other hand, the smart belt 100 can correct the measured waist circumference value in the state 901 in which the user stands obliquely, based on the corrected tension value (e.g., 720 g). For example, if the waist circumference measured by the waist circumference sensor 112 is 81.5 cm and the corrected tension value is 720 grams, the smart belt 100 may have a measured waist circumference of 81.5 cm Can be corrected to 85 cm. At this time, the calibrated waist circumference value (e.g., 85 cm) may be similar to the actual waist circumference of the user measured in the upright state 902.
Meanwhile, according to one embodiment, the smart belt 100 may measure the waist circumference of the user by using the respiration information of the user. Hereinafter, with reference to FIG. 10, a method of determining the waist circumference measurement time based on the respiration information of the user will be described.
10 is a flowchart for explaining a method of determining waist circumference measurement timing based on respiration information according to an embodiment.
In step S1010, the smart belt 100 can acquire user's breathing information based on the tension information. For example, the smart belt 100 can detect a change amount of a tension value, a change period of a tension value, a maximum tension value, a minimum tension value, and the like by using the tension sensor 113. [
The smart belt 100 can determine the number of breaths per minute of the user based on the amount of change in the tension value, the period of change in the tension value, and the like.
Referring to FIG. 11, the respiration detection module 1100 of the smart belt 100 can detect the respiratory cycle based on the amount of change in the tension value. In addition, the respiration detection module 1100 of the smart belt 100 may determine whether the detected respiratory cycle is a stable respiratory cycle. For example, if the breathing cycle is 3 to 5 seconds and the number of breaths per minute is 12 to 20, the smart belt 100 can determine that the user's breathing is stable.
On the other hand, if the respiratory cycle is less than 3 seconds and the number of breaths per minute exceeds 20, the smart belt 100 may judge that the breathing is unstable.
In step S1020, the smart belt 100 may determine a time for measuring the waist circumference of the user based on the movement state of the user and the respiration information of the user. Then, in step S1030, the smart belt 100 can measure the waist circumference of the user at a determined timing.
According to one embodiment, the smart belt 100 can determine a time when the user is standing up and the respiration of the user is determined to be stable, as the waist circumference measurement time. The smart belt 100 can control the waistline sensor 112 to activate the waistline sensor 112 and measure the waist circumference of the user if the user is in an upright state and the user's breathing is determined to be stable have.
On the other hand, if the smart belt 100 determines that breathing is unstable because the user is running, it may decide to measure the waist circumference of the user at a later time and may not measure the waist circumference of the user at the present time. Further, when the user stops and runs, the smart belt 100 may determine that breathing is unstable, although it is standing, and may decide to measure the waist circumference of the user at a later time.
4 to 11, an example has been described in which the waist circumference measurement time is determined according to the user's movement state and the waist circumference is measured at the determined time. Hereinafter, referring to Fig. 12, And the measured waist circumference is corrected according to the motion state of the user.
12 is a flowchart for explaining a method of correcting the waist circumference based on the motion state of the user according to an embodiment.
In step S1210, the smart belt 100 can measure the waist circumference of the user.
According to one embodiment, the smart belt 100 can measure the waist circumference of a user wearing the smart belt 100 by using the waist circumference sensor 112. [ For example, by using the smart belt 100 and the optical sensor, an incremental linear encoder method, an absolute linear encoder method, an incremental rotary encoder method, The waist circumference can be measured with at least one of the absolute rotary encoder methods. Further, the smart belt 100 may measure the waist circumference of the user by using an image sensor or a magnetic field sensor. Since the method of measuring the waist circumference of the user by the waist circumference sensor 112 of the smart belt 100 has been described with reference to Figs. 3A and 3B, a detailed description thereof will be omitted here.
In step S1220, the smart belt 100 may acquire the motion information of the user wearing the smart belt 100. [ For example, the smart belt 100 can acquire user's motion information at the time when the user's waist circumference is measured.
According to one embodiment, the smart belt 100 can sense movement of the user using the inertial sensor 111. [ For example, the smart belt 100 can acquire user's movement, user's moving speed information, user's moving direction information, user's tilt information, and user's altitude information.
In addition, the smart belt 100 may acquire position information of a user (e.g., GPS coordinate value information, local information, building information, position change amount information for a predetermined time) using a position sensor, (For example, body temperature information, breathing information, sweat discharge amount information, etc.) of the user. The smart belt 100 may also acquire the tension information of the smart belt 100 using the tension sensor 113. [
In step S1230, the smart belt 100 can determine the motion state of the user using the motion information of the user.
According to one embodiment, the smart belt 100 may use at least one of an acceleration value, a slope value, a position value, and a pressure value to determine whether the user is in a stopped state, a walking state, or a running state. For example, the smart belt 100 uses the acceleration information measured by the acceleration sensor to determine that 1) the user is stationary when the user moves on average 0.001 km / h for a certain period of time, 2) If the user moves on average 4 km / h during the time, the user is judged to be walking. 3) If the user moves on average 15 km / h for a certain period of time, the user can be judged to be running. Further, even when the smart belt 100 determines that the user is standing, the gyro sensor may be used to further determine whether the user is standing diagonally or upright.
According to one embodiment, the smart belt 100 may determine whether the user is in a sitting, standing, or lying state using the tension information obtained by the tension sensor 113. [ If the user is standing, the tension value can be larger when sitting, and the breathing signal can be better detected.
In step S1240, the smart belt 100 can correct the measured waist circumference based on the movement state of the user. For example, if the user's movement state at the time of measuring the waist circumference is not the predefined reference state, the smart belt 100 can correct the measured waist circumference. At this time, the predefined reference state may be an upright fine state, but is not limited thereto.
According to one embodiment, the smart belt 100 measures a waist circumference of a user in a first motion state to obtain a first waist circumference value corresponding to a first motion state, 1 waist circumference value to a second waist circumference value corresponding to a predefined reference condition.
For example, when the waist circumference is measured in the sitting state, the smart belt 100 can convert the waist circumference in the sitting state to the waist circumference in the reference state using the human body modeling information. At this time, the human body modeling information may include information analyzing waist circumference values corresponding to each of the user's motion states. If the waist circumference measured in the sitting state is 82 cm, the smart belt 100 can convert the measured waist circumference value 82 cm to the waist circumference value 77 cm in the reference state using the human body modeling information.
FIG. 13 is a flowchart for explaining how a Smart Belt according to an embodiment transmits information about corrected waist circumference to a host terminal.
In step S1310, the smart belt 100 and the host terminal 200 may form a communication link.
For example, the smart belt 100 may form a short-range communication link with the host terminal 200 and may form a mobile communication link (e.g., 3G, 4G, 5G, etc.). The local communication may include, but is not limited to, Bluetooth, Bluetooth low energy (BLE), Wi-Fi direct, ultra wideband (UWB), Zigbee, Near Field Communication unit (NFC)
In step S1320, the smart belt 100 can measure the waist circumference of the user and correct the measured waist circumference based on the tension information. Step S1320 may correspond to step 410 to step S450 of FIG. 4, and thus a detailed description thereof will be omitted.
In step S1330, the smart belt 100 may transmit information about the calibrated waist circumference to the host terminal 200. [ The information on the corrected waist circumference may include a waist circumference value, a waist circumference change amount, and the like, but is not limited thereto.
According to one embodiment, the smart belt 100 may periodically transmit information about the calibrated waist circumference to the host terminal 200. For example, the smart belt 100 may transmit information about the waist circumference corrected once an hour to the host terminal 200.
According to one embodiment, the smart belt 100 may transmit information about the calibrated waist circumference when a request is received from the host terminal 200. For example, when the host terminal 200 receives input from a user to execute a health care application, the host terminal 200 may request information about the waist circumference on the smart belt 100. [ In this case, the smart belt 100 can transmit the information about the calibrated waist circumference to the host terminal 200.
According to one embodiment, the smart belt 100 may transmit information regarding the corrected waist circumference to the host terminal 200 at a predetermined event occurrence time. For example, the smart belt 100 may transmit information about the waist circumference to the host terminal 200 whenever an event occurs in which the user's waist circumference increases by 1 cm. Alternatively, the smart belt 100 may transmit information about the corrected waist circumference to the host terminal 200 in the event that a user arrives at the home. At this time, the smart belt 100 may transmit the most recently acquired information about the waist circumference to the host terminal 200, or may transmit all the information about the waist circumference acquired during a predetermined period to the host terminal 200 .
According to one embodiment, the smart belt 100 can determine whether or not the wearer of the smart belt 100 is abdominally obese based on the information about the corrected waist circumference. The smart belt 100 may transmit information on abdominal obesity to the host terminal 200 when the user is determined to be abdominal obesity.
Abdominal obesity is a condition in which excess fat is accumulated in the abdomen, and can be considered to be abdominal obesity when the waist circumference of a Korean is 90cm (35.4 inches) or more than 85cm (33.5 inches).
In step S1340, the host terminal 200 can output information about the corrected waist circumference.
According to one embodiment, the host terminal 200 may output information about the corrected waist circumference in the form of voice, text, still image, or moving image, but is not limited thereto.
According to one embodiment, the host terminal 200 may output information about the calibrated waist circumference each time information about the calibrated waist circumference is received from the smart belt 100. Alternatively, the host terminal 200 may output information about the calibrated waist circumference through the execution window of the healthcare application when an input requesting execution of the health care application is received from the user.
According to the embodiment, the host terminal 200 may display the waist circumferential change amount, the target waist circumference, and the like for a certain period in addition to the current waist circumference information. Also, the host terminal 200 may output information on abdominal obesity.
Referring to FIG. 14, the operation of the host terminal 200 for outputting information on abdominal obesity will be described in further detail.
FIG. 14 is a view for explaining an operation of a host terminal according to an embodiment to output information on abdominal obesity.
Referring to FIG. 14, the host terminal 200 may receive information on the waist circumference of the user wearing the smart belt 100 from the smart belt 100. For example, the host terminal 200 can receive information that the waist circumference of the user wearing the smart belt 100 is " 41 inches ".
At this time, the host terminal 200 can determine that the user is under the abdomen based on the information (for example, 41 inches) about the waist circumference received from the smart belt 100. [ The host terminal 200 can output information (for example, 41 inches) about the waist circumference of the user on the screen and a warning message indicating abdominal obesity. In this case, the user can confirm whether his / her waist circumference and / or abdominal obesity is present through the host terminal 200.
FIG. 14 shows a case where the host terminal 200 determines the abdominal obesity of the user, but the present invention is not limited thereto. For example, it is possible to determine the abdominal obesity in the smart belt 100 and transmit information on the abdominal obesity to the host terminal 200.
15 is a diagram for explaining an operation in which a smart belt according to an embodiment transmits information about waist circumference to an external wearable device.
15, the smart belt 100 may transmit information about the waist circumference to an external wearable device connected to the smart belt 100. [ For example, smart belt 100 may transmit information about waist circumference to smart watch 1510. [ At this time, the smart clock 1510 may output a warning message indicating the user's waist circumference (for example, 41 inches) and / or abdominal obesity on the screen.
The smart belt 100 may also transmit information about the waist circumference to the wearable glass 1520 worn by the user. At this time, the wearable glass 1520 may output a warning message indicating the user's waist circumference (for example, 41 inches) and / or abdominal obesity within the viewing angle of the user.
According to one embodiment, the smart belt 100 may transmit information about the waist circumference directly to the external wearable devices 1510 and 1520 or may transmit information about the external wearable devices 1510 and 1520 via the host terminal 200 or the server 1510, and 1520 may transmit information about the waist circumference.
FIG. 16 is a view for explaining an operation of the host terminal according to the embodiment to output information on the metabolic syndrome. FIG.
The host terminal 200 may receive information about the waist circumference received from the smart belt 100 (e.g., 41 inches). Also, the host terminal 200 can receive blood pressure information, blood glucose information, cholesterol information, and triglyceride information from at least one external device (e.g., 1601 and 1602). At this time, the host terminal 200 may receive blood pressure information, blood glucose information, cholesterol information, and triglyceride information through a server connected to at least one external device (e.g., 1601 and 1602). According to one embodiment, the host terminal 200 may receive the user's blood glucose information, cholesterol information, blood pressure information, and triglyceride information from the user.
The host terminal 200 can diagnose a metabolic syndrome based on at least two of information of the user's blood sugar information, cholesterol information, blood pressure information, and triglyceride information and information on the waist circumference. For example, when the waist circumference of the user is 41 inches, the blood pressure is 150/90, and the blood sugar is 200 mg / dL, the host terminal 200 determines that the user wearing the smart belt 100 is a metabolic syndrome .
The host terminal 200 may output information (for example, 41 inches) about the waist circumference of the user on the screen and / or a warning message indicating the metabolic syndrome. In this case, the user can confirm the current waist circumference and / or metabolic syndrome through the host terminal 200.
16 shows a case where the host terminal 200 diagnoses the metabolic syndrome of the user, but the present invention is not limited thereto. For example, it is possible to diagnose the metabolic syndrome in the smart belt 100 and transmit information on the metabolic syndrome to the host terminal 200.
17 is a diagram for explaining an operation in which a host terminal according to an embodiment outputs a notification message.
Referring to 1710 in Fig. 17, the host terminal 200 can output a warning message 1701 informing the health risk based on the information about the waist circumference received from the smart belt 100. [ For example, when the user's waist circumference increases by 5 inches for 3 months and becomes 42 inches, the host terminal 200 obtains information about the waist circumference change amount (for example, '3-month waist circumference change amount: +5 in' (&Quot; warning, chronic disease risk group "). According to one embodiment, the host terminal 200 may display information on the amount of change in waist circumference as an image.
Referring to 1720 of FIG. 17, the host terminal 200 can output a message 1702 encouraging health care based on the information about the waist circumference received from the smart belt 100. For example, if the user's target waist circumference is 38 inches and the waist circumference measured by the smart belt 100 is 39 inches, the host terminal 200 is 'approaching the target value'! You can output the message 'Please make yourself strong!' In text or voice.
According to one embodiment, the host terminal 200 may display a change in the waist circumference in a graph or an icon image.
Referring to 1730 of FIG. 17, the host terminal 200 may output a message 1703 indicating that the target waist circumference has been achieved, based on the information about the waist circumference received from the smart belt 100. For example, when the target waist circumference of the user is 38 inches, the host terminal 200 may transmit a congratulation message (e.g., congratulation) to the user at the time when the waist circumference measured by the smart belt 100 becomes 38 inches. !) Can be output.
According to one embodiment, the host terminal 200 may provide a reward to the user when the waist circumference of the user has reached the target waist circumference.
Meanwhile, according to one embodiment, the host terminal 200 may provide information related to healthcare to the user. Hereinafter, an operation of the host terminal 200 for providing healthcare-related information will be described with reference to FIGS. 18 to 20. FIG.
18 is a diagram for explaining an operation in which a host terminal according to an embodiment recommends motion.
Referring to 1810 of FIG. 18, the host terminal 200 may receive an input requesting a motion recommendation from a user. For example, the host terminal 200 may receive an input that touches the motion recommendation item 1800 displayed on the touch screen.
Referring to 1820 of FIG. 18, the host terminal 200 may provide information about a motion method that can reduce the waist circumference in response to an input that touches the motion recommendation item 1800. For example, the host terminal 200 may output text, audio, images, or moving pictures that describe the wine opener movement.
19 is a view for explaining an operation of recommending food by a host terminal according to an embodiment.
Referring to 1910 of FIG. 19, the host terminal 200 may receive an input requesting a food recommendation from a user. For example, the host terminal 200 may receive an input that touches a food recommendation item 1900 displayed on the touch screen.
Referring to 1910 of FIG. 19, in response to an input to touch the food recommendation item 1900, the host terminal 200 can recommend a food that can reduce the waist circumference. For example, the host terminal 200 may output a text, an image, a voice, or a moving image recommending 'matete' which has the effect of reducing the waist circumference.
FIG. 20 is a view for explaining an operation of providing a host terminal with menu information or recipe information according to an embodiment. FIG.
Referring to 2010 in Fig. 20, the host terminal 200 may receive an input requesting a recommendation of a meal from the user. For example, the host terminal 200 may receive an input that touches the menu recommendation item 2001 displayed on the touch screen.
Referring to 2020 of FIG. 20, the host terminal 200 may provide diet diet information in response to an input that touches the menu recommendation item 2001. At this time, the host terminal 200 may provide a menu corresponding to the time of touching the menu recommendation item 2001. For example, if the user touches the menu recommendation item 2001 at 7:00 in the morning, the host terminal 200 obtains information on the breakfast menu "cereal 30g, low-fat milk 200ml, .
Referring to 2030 of FIG. 20, in response to an input to touch the recipe item 2002, the host terminal 200 can provide food recipe information that can reduce the waist circumference. For example, the host terminal 200 may provide information on 'raspberry lime sparkling water, perilla tofu chip' in the form of text, still image, moving image or url.
Meanwhile, although an embodiment in which the waist circumference is corrected in the smart belt 100 has been described so far, an example in which the host terminal 200 corrects the waist circumference based on the tension information will be described with reference to Fig. 21 .
21 is a flowchart for explaining a method of adjusting a waist circumference of a user by a host terminal according to an embodiment.
In step S2110, the smart belt 100 and the host terminal 200 may form a communication link.
For example, the smart belt 100 may form a short-range communication link with the host terminal 200 and may form a mobile communication link (e.g., 3G, 4G, 5G, etc.). The local communication may include, but is not limited to, Bluetooth, Bluetooth low energy (BLE), Wi-Fi direct, ultra wideband (UWB), Zigbee, Near Field Communication unit (NFC)
In step S2120, the smart belt 100 can acquire user's motion information, information on the user's waist circumference, and tension information of the smart belt 100. [
According to one embodiment, the smart belt 100 can sense movement of the user using the inertial sensor 111. [ For example, the smart belt 100 can acquire user's movement, user's moving speed information, user's moving direction information, user's tilt information, and user's altitude information.
In addition, the smart belt 100 may acquire position information of a user (e.g., GPS coordinate value information, local information, building information, position change amount information for a predetermined time) using a position sensor, (For example, body temperature information, breathing information, sweat discharge amount information, etc.) of the user.
According to one embodiment, the smart belt 100 can measure the waist circumference of a user wearing the smart belt 100 by using the waist circumference sensor 112. [ For example, by using the smart belt 100 and the optical sensor, an incremental linear encoder method, an absolute linear encoder method, an incremental rotary encoder method, The waist circumference can be measured with at least one of the absolute rotary encoder methods. Further, the smart belt 100 may measure the waist circumference of the user by using an image sensor or a magnetic field sensor. Since the method of measuring the waist circumference of the user by the waist circumference sensor 112 of the smart belt 100 has been described with reference to Figs. 3A and 3B, a detailed description thereof will be omitted here.
According to one embodiment, the smart belt 100 may use the tension sensor 113 to obtain the tension information of the smart belt 100. For example, the smart belt 100 may measure the tension of the smart belt 100 using a force sensing resistor (FSR) sensor 102 or a strain gauge 106, but is not limited thereto . Since the method of measuring the tension of the smart belt 100 has already been described with reference to FIG. 2, a detailed description thereof will be omitted here.
According to one embodiment, the smart belt 100 may acquire the tension information of the smart belt 100 periodically using the tension sensor 113. [ For example, the smart belt 100 may acquire tension information at intervals of 10 minutes.
In addition, the smart belt 100 may acquire tension information at a predefined time. For example, the smart belt 100 may be configured to allow the user to adjust the tension of the user between 7 am and 8 am when the user goes to work, or between 12 am and 13 pm when the user is lunching, Information can be obtained. The predefined time may be changed according to the user input or the user's context information.
According to one embodiment, the smart belt 100 may obtain tension information when a specific event occurs. For example, when an event occurs in which the waist-circumference sensor 112 measures the waist circumference of the user, the smart belt 100 activates the tension sensor 113 to measure the tension value of the smart belt 100 .
In step S2130, the smart belt 100 may transmit the user's motion information, the information about the waist circumference of the user, and the tension information of the smart belt 100 to the host terminal 200. [
According to one embodiment, the smart belt 100 may periodically transmit motion information of the user, information about the waist circumference of the user, and tension information of the smart belt 100 to the host terminal 200. For example, the smart belt 100 may transmit user's motion information, information about the user's waist circumference, and tension information of the smart belt 100 to the host terminal 200 once an hour.
According to one embodiment, the smart belt 100 may transmit user motion information, information about the user's waist circumference, and tension information of the smart belt 100 when a request is received from the host terminal 200. [ For example, when the host terminal 200 receives an input from a user to execute a health care application, the host terminal 200 displays information on the user's movement, information about the waist circumference of the user, The tension information of the belt 100 can be requested. In this case, the smart belt 100 may transmit the user's motion information, information about the waist circumference of the user, and tension information of the smart belt 100 to the host terminal 200.
According to an embodiment, the smart belt 100 may transmit user's motion information, information about the user's waist circumference, and tension information of the smart belt 100 to the host terminal 200 when a predetermined event occurs. For example, when the event that the waist circumference of the user increases by 1 cm occurs, the smart belt 100 transmits the user's motion information, the information about the waist circumference of the user, and the tension information of the smart belt 100 to the host terminal 200 Lt; / RTI > Alternatively, the smart belt 100 may transmit the user's motion information, information about the user's waist circumference, and the tension information of the smart belt 100 to the host terminal 200 when an event arriving at the user occurs, It is possible.
According to one embodiment, the smart belt 100 may transmit user motion information, information about the user's waist circumference, and tension information of the smart belt 100 to the host terminal 200 at one time or separately .
In step S2140, the host terminal 200 can determine the motion state of the user using the motion information of the user. For example, the host terminal 200 can determine the motion state of the user at the waist circumference measurement using the motion information of the user.
According to one embodiment, the host terminal 200 may use at least one of an acceleration value, a slope value, a position value, and a pressure value included in the user's motion information to determine whether the user is in a stop state, It can be judged. For example, the host terminal 200 may use the acceleration information measured by the acceleration sensor to determine that 1) the user is stationary when the user moves on average 0.001 km / h for a certain period of time, and 2) If the user moves on average 4 km / h during the time, the user is judged to be walking. 3) If the user moves on average 15 km / h for a certain period of time, the user can be judged to be running. Further, even when the host terminal 200 determines that the user is standing, the host terminal 200 can further determine whether the user is standing diagonally or standing upright by using the gyro sensor.
According to one embodiment, the host terminal 200 may determine whether the user is in a sitting, standing, or lying state using the tension information obtained by the tension sensor 113. [
In step S2150, the host terminal 200 may correct the waist circumference of the user measured on the smart belt 100 based on at least one of the user's movement state and the tension information.
According to one embodiment, the host terminal 200 can correct the measured waist circumference based on the movement state of the user. For example, when the user's movement state at the time of measuring the waist circumference is not the predefined reference state, the host terminal 200 can correct the measured waist circumference. Here, the predefined reference state may be an upright state or an upright fine state, but is not limited thereto.
The host terminal 200 may convert the first waist circumference measured in the first motion state to a second waist circumference corresponding to the predefined reference state. For example, when the waist circumference is measured in the sitting state, the host terminal 200 can convert the waist circumference in the sitting state to the waist circumference in the reference state using the human body modeling information. At this time, the human body modeling information may include information analyzing waist circumference values corresponding to each of the user's motion states. If the waist circumference measured in the sitting state is 82 cm, the host terminal 200 can convert the measured waist circumference value 82 cm to the waist circumference value 77 cm of the reference state using the human body modeling information.
According to the embodiment, the host terminal 200 may correct the waist circumference measured by the smart belt 100 based on the tension information. According to one embodiment, the host terminal 200 can correct the measured waist circumference on the smart belt 100 using a tension-based standard table. The tension-based standard table may be a table that matches the tension and waist circumference correction values. According to an embodiment, the waist circumference correction value included in the tension-based standard table may be calculated in consideration of the user's body information (for example, sex, age, height, weight, etc.).
For example, according to the tension-based standard table, when the tension is 100 g, the waist circumference correction value is '0', and as the tension is increased from 100 g, the waist circumference correction value may also gradually increase. For example, when the tension is 400 g, the waist circumference correction value is '+ 2 cm', and when the tension is 700 g, the waist circumference correction value may be '+ 4 cm'.
The increase in tension means that the force to tighten the waist of the smart belt 100 is increasing, so that the measured waist circumference must be smaller than the actual waist circumference value.
For example, if the user does not adjust the length of the smart belt 100 even though the user is overeating more than before the meal, the waist circumference measured by the smart belt 100 may be the same before and after the meal . However, in reality, the waist circumference after eating is higher than the waist circumference before eating. Therefore, the host terminal 200 can precisely predict the user's current waist circumference by adding the waist circumference correction value corresponding to the increased tension value to the measured waist circumference value using the tension-based standard table.
According to an embodiment, the host terminal 200 may correct the waist circumference measured on the smart belt 100 by considering both the user's movement state and the tension information of the smart belt 100. [
For example, the host terminal 200 first corrects the first waist circumference measured at the smart belt 100 to the second waist circumference corresponding to the reference state, The second waist circumference value can be secondarily corrected to the third waist circumference value.
In step S2160, the host terminal 200 can output information about the corrected waist circumference.
According to one embodiment, the host terminal 200 may output information about the corrected waist circumference in the form of voice, text, still image, or moving image, but is not limited thereto.
According to one embodiment, the host terminal 200 may display the information about the currently corrected waist circumference, the waist circumference change amount for a certain period, the target waist circumference, and the like. In addition, the host terminal 200 may output information on abdominal obesity and / or metabolic syndrome.
On the other hand, the host terminal 200 may provide information on the user's over eating behavior based on the waist circumference information received from the smart belt 100. [ Referring to FIG. 22, the operation of the host terminal 200 for managing the user's over eating behavior will be described in detail.
22 is a diagram for explaining a user's over meal detection system according to an embodiment.
Referring to FIG. 22, when the user overexpresses 2210, the user's waist circumference measured at the smart belt 100 may increase (2220). For example, the user may increase the length of the portion surrounding the waist when overeating, so that the waist circumference measured by the waist circumference sensor 112 may increase. In addition, even if the user does not adjust the length of the waist portion, if the tension of the smart belt 100 increases due to overeating, the smart belt 100 can be prevented from being worn around the waist circumference measured by the waist circumference sensor 112 The waist circumference of the user can be detected to be increased.
The smart belt 100 may periodically transmit the measured information of the waist circumference to the host terminal 200 (2230). For example, smart belt 100 may transmit information about waist circumference to host terminal 200 using near field communication (e.g., Bluetooth).
If the waist circumference of the user suddenly increases within a predetermined time, the host terminal 200 may determine that the user is overeating (2240). For example, if the waist circumference was 38 inches at 13 o'clock on May 18, but it was 40 inches at 22 o'clock on May 18, the user may be judged to have overeaten in the evening.
The host terminal 200 may check the period that the user overeats. For example, the host terminal 200 can check how many times a user overeats a month. The host terminal 200 can mark the day when the user overeats the calendar. Also, the host terminal 200 can confirm and display the momentum of the user.
The user can run the health management application of the host terminal 200 to check whether he or she is overeating, overeating period, overeating number, exercise amount, and the like.
23 is a view for explaining a waist circumference management system according to an embodiment.
23, the waist circumference management system may include a smart belt 100, a host terminal 200, and a server 300. [ However, not all illustrated components are required. Since the smart belt 100 and the host terminal 200 have been described with reference to FIG. 1, the server 300 will be described below.
The server 300 is for transmitting and receiving data to and from the smart belt 100 and the host terminal 200. The server 300 may be, for example, a cloud server, a personalization server, a medical institution server, or a health information storage server. The health information storage server may include, but is not limited to, an EMR (Electronic Medical Record) server, an HER (Electronic Health Record) server, and a PHR (Personal Health Record) server.
According to one embodiment, the server 300 may include an intelligence engine, and the server 300 may transmit the waist circumference information, user's motion information, tension information, and the like measured by the smart belt 100 through the intelligence engine Can be analyzed. For example, the server 300 can correct the waist circumference based on the tension information of the smart belt 100, or determine the risk of abdominal obesity of the user and / or the metabolic syndrome based on the corrected waist circumference information have.
A method of analyzing the waist circumference information collected from the smart belt 100 by the server 300 will be described in further detail with reference to FIG.
24 is a flowchart for explaining a method of correcting waist circumference in a server according to an embodiment.
In step S2400, the smart belt 100 may form a communication link with the server 300. [ In step S2402, the host terminal 200 may also form a communication link with the server 300. [
In step S2410, the smart belt 100 can acquire user's motion information, information on the user's waist circumference, and tension information of the smart belt 100. [
According to one embodiment, the smart belt 100 can sense movement of the user using the inertial sensor 111. [ For example, the smart belt 100 can acquire user's movement, user's moving speed information, user's moving direction information, user's tilt information, and user's altitude information.
In addition, the smart belt 100 may acquire position information of a user (e.g., GPS coordinate value information, local information, building information, position change amount information for a predetermined time) using a position sensor, (For example, body temperature information, breathing information, sweat discharge amount information, etc.) of the user.
According to one embodiment, the smart belt 100 can measure the waist circumference of a user wearing the smart belt 100 by using the waist circumference sensor 112. [ For example, by using the smart belt 100 and the optical sensor, an incremental linear encoder method, an absolute linear encoder method, an incremental rotary encoder method, The waist circumference can be measured with at least one of the absolute rotary encoder methods. Further, the smart belt 100 may measure the waist circumference of the user by using an image sensor or a magnetic field sensor.
According to one embodiment, the smart belt 100 may use the tension sensor 113 to obtain the tension information of the smart belt 100. For example, the smart belt 100 may measure the tension of the smart belt 100 using a force sensing resistor (FSR) sensor 102 or a strain gauge 106, but is not limited thereto .
According to one embodiment, the smart belt 100 may acquire the tension information of the smart belt 100 periodically using the tension sensor 113. [ In addition, the smart belt 100 may acquire tension information at a predefined time. According to one embodiment, the smart belt 100 may obtain tension information when a specific event occurs. For example, when an event occurs in which the waist-circumference sensor 112 measures the waist circumference of the user, the smart belt 100 activates the tension sensor 113 to measure the tension value of the smart belt 100 .
In step S2420, the smart belt 100 may transmit the user's motion information, information about the waist circumference of the user, and the tension information of the smart belt 100 to the server 300. [
According to one embodiment, the smart belt 100 may periodically transmit motion information of the user, information about the waist circumference of the user, and tension information of the smart belt 100 to the server 300. For example, the smart belt 100 may transmit user's motion information, information about the user's waist circumference, and tension information of the smart belt 100 to the server 300 once an hour.
According to one embodiment, the smart belt 100 may transmit the user's motion information, information about the user's waist circumference, and the tension information of the smart belt 100 when a request is received from the server 300. [
According to an exemplary embodiment, the smart belt 100 may transmit user motion information, information about the user's waist circumference, and tension information of the smart belt 100 to the server 300 when a preset event occurs. For example, the smart belt 100 transmits the user's motion information, information about the user's waist circumference, and the tension information of the smart belt 100 to the server 300 when an event occurs in which the user's waist circumference increases by 1 cm . Alternatively, the smart belt 100 may transmit the user's motion information, information about the waist circumference of the user, and the tension information of the smart belt 100 to the server 300 when an event that a user arrives at home occurs have.
According to one embodiment, the smart belt 100 may transmit the user's motion information, information about the user's waist circumference, and the tension information of the smart belt 100 to the server 300 at once or separately.
In step S2430, the server 300 can determine the movement state of the user using the motion information of the user. For example, the server 300 can determine the movement state of the user at the waist circumference measurement using the motion information of the user.
According to one embodiment, the server 300 determines whether the user is in a stopped state, a walking state, or a running state using at least one of an acceleration value, a slope value, a position value, and a pressure value included in the user's motion information can do. For example, the server 300 uses the acceleration information measured by the acceleration sensor to determine that 1) the user is stationary when the user moves on an average of 0.001 km / h for a certain period of time, 2) The user is determined to be walking when the user moves on an average of 4 km / h while the user is walking; and 3) the user is determined to be running if the user moves on average 15 km / h for a predetermined time. In addition, the server 300 may use the gyro sensor to determine whether the user is standing diagonally or upright, even when the user is determined to be standing.
According to one embodiment, the host terminal 200 may determine whether the user is in a sitting, standing, or lying state using the tension information obtained by the tension sensor 113. [
In step S2440, the server 300 may correct the measured waist circumference of the user on the smart belt 100 based on at least one of the user's motion state and tension information.
According to one embodiment, the server 300 can correct the measured waist circumference based on the movement state of the user. For example, when the user's movement state when measuring the waist circumference is not the predefined reference state, the server 300 can correct the measured waist circumference. Here, the predefined reference state may be an upright state or an upright fine state, but is not limited thereto.
The server 300 may convert the first waist circumference measured in the first motion state to a second waist circumference corresponding to the predefined reference state. For example, when the waist circumference is measured in the sitting state, the server 300 can convert the waist circumference in the sitting state to the waist circumference in the reference state using the human body modeling information. At this time, the human body modeling information may include information analyzing waist circumference values corresponding to each of the user's motion states. If the measured waist circumference is 82 cm, the server 300 can convert the measured waist circumference value 82 cm to the waist circumference value 77 cm of the reference state using the human body modeling information.
According to one embodiment, the server 300 may correct the waist circumference measured on the smart belt 100 based on the tension information. According to one embodiment, the server 300 may correct the waist circumference measured on the smart belt 100 using a tension-based standard table. The tension-based standard table may be a table that matches the tension and waist circumference correction values. According to an embodiment, the waist circumference correction value included in the tension-based standard table may be calculated in consideration of the user's body information (for example, sex, age, height, weight, etc.).
For example, according to the tension-based standard table, when the tension is 100 g, the waist circumference correction value is '0', and as the tension is increased from 100 g, the waist circumference correction value may also gradually increase. For example, when the tension is 400 g, the waist circumference correction value is '+ 2 cm', and when the tension is 700 g, the waist circumference correction value may be '+ 4 cm'.
The increase in tension means that the force to tighten the waist of the smart belt 100 is increasing, so that the measured waist circumference must be smaller than the actual waist circumference value.
For example, if the user does not adjust the length of the smart belt 100 even though the user is overeating more than before the meal, the waist circumference measured by the smart belt 100 may be the same before and after the meal . However, in reality, the waist circumference after eating is higher than the waist circumference before eating. Accordingly, the server 300 can precisely predict the user's current waist circumference by adding the waist circumference correction value corresponding to the increased tension value to the measured waist circumference value using the tension-based standard table.
According to one embodiment, the server 300 may correct the measured waist circumference on the smart belt 100 by considering both the user's movement state and the tension information of the smart belt 100.
For example, the server 300 first corrects the first waist circumference measured at the smart belt 100 to the second waist circumference corresponding to the reference state, and then calculates the tension information of the smart belt 100 The second waist circumference value can be secondarily corrected to the third waist circumference value.
In step S2450, the server 300 can transmit information on the waist circumference to the host terminal 200. [
For example, the server 300 may transmit information about the calibrated waist circumference to the host terminal 200 via the communication link.
According to one embodiment, the server 300 may transmit information about the periodically calibrated waist circumference to the host terminal 200, and may include information about the calibrated waist circumference when a request is received from the host terminal 200 Lt; / RTI >
For example, when the host terminal 200 receives input from a user to execute a health care application, the host terminal 200 may request the server 300 for information about the waist circumference of the user. In this case, the server 300 can transmit information about the calibrated waist circumference to the host terminal 200.
In step S2460, the host terminal 200 can output information about the waist circumference.
According to one embodiment, the host terminal 200 may output information about the corrected waist circumference in the form of voice, text, still image, or moving image, but is not limited thereto.
According to one embodiment, the host terminal 200 may display the information about the currently corrected waist circumference, the waist circumference change amount for a certain period, the target waist circumference, and the like.
In step S2470, the server 300 can determine the risk of abdominal obesity or the metabolic syndrome.
According to one embodiment, the server 300 can determine whether the wearer of the smart belt 100 is abdominal obesity based on the information about the corrected waist circumference. Abdominal obesity is a condition in which excess fat is accumulated in the abdomen, and can be considered to be abdominal obesity when the waist circumference of a Korean is 90cm (35.4 inches) or more than 85cm (33.5 inches).
In addition, the server 300 can receive blood pressure information, blood sugar information, cholesterol information, and triglyceride information from at least one external device (e.g., a blood pressure device, a blood glucose meter, etc.). According to an embodiment, the server 300 may receive blood glucose information, cholesterol information, blood pressure information, and triglyceride information of a user input from a user from the host terminal 200.
The server 300 can diagnose a metabolic syndrome based on at least two or more pieces of information of the user's blood sugar information, cholesterol information, blood pressure information, and triglyceride information and corrected waist circumference information. For example, if the waist circumference of the user is 41 inches, the triglyceride is 160 mg / dL, and the blood sugar is 200 mg / dL, the server 300 determines that the user wearing the smart belt 100 is a metabolic syndrome .
In step S2480, the server 300 may transmit information on the risk of abdominal obesity or the metabolic syndrome to the host terminal 200. [ For example, the server 300 may send information about the risk of abdominal obesity or the metabolic syndrome to the host terminal 200 via a communication link.
In step S2490, the host terminal 200 may output information on the risk of abdominal obesity or the metabolic syndrome. According to one embodiment, the host terminal 200 may output information on the risk of abdominal obesity or the metabolic syndrome in the form of voice, text, still image, or moving image, but is not limited thereto.
On the other hand, according to one embodiment, the smart belt 100 may analyze the user's activity using at least one sensor. Hereinafter, a method by which the smart belt 100 provides user activity information will be described in detail with reference to FIG.
25 is a flowchart for explaining a method of providing a user's activity information according to an embodiment.
In step S2510, the smart belt 100 may acquire information on whether or not the smart belt 100 is detached from the user. Herein, the information on whether or not the smart belt 100 is detached may include information on wear start time information (for example, 8:00 am) regarding when the user wears the smart belt 100, information on when the user finally released the smart belt 100 (For example, five times) regarding how often the user unfastened the smart belt 100 during the day and rewound it, And information on whether or not the user wears a wristwatch, but the present invention is not limited thereto.
According to one embodiment, the smart belt 100 is configured such that, based on signals received from at least one of the inertial sensor 111, the waist circumference sensor 112, the tension sensor 113, 100) is worn.
In step S2520, the smart belt 100 can acquire the motion information and the tension information of the user wearing the smart belt 100. [ For example, when it is determined that the user is wearing the smart belt 100, the smart belt 100 may acquire the user's motion information or the tension information of the smart belt 100.
According to one embodiment, the smart belt 100 can sense movement of the user using the inertial sensor 111. [ For example, the smart belt 100 can acquire user's movement, user's moving speed information, user's moving direction information, user's tilt information, and user's altitude information.
In addition, the smart belt 100 may acquire position information of a user (e.g., GPS coordinate value information, local information, building information, position change amount information for a predetermined time) using a position sensor, (For example, body temperature information, breathing information, sweat discharge amount information, etc.) of the user.
According to one embodiment, the smart belt 100 may use the tension sensor 113 to obtain the tension information of the smart belt 100. For example, the smart belt 100 may measure the tension of the smart belt 100 using a force sensing resistor (FSR) sensor 102 or a strain gauge 106, but is not limited thereto . Since the smart belt 100 acquires the motion information of the user and the tension information of the smart belt 100, it has been described in detail before, and a detailed description thereof will be omitted here.
In step S2530, the smart belt 100 can generate the user's activity information based on the information about whether or not the user has been attached or detached, the user's motion information, or the tension information. Here, the activity information of the user may mean information about activities performed until the user wakes up and sleeps. For example, the activity information of the user may include, but is not limited to, the commute time information of the user, nighttime information, defecation information, laughter information, drinking information, smoking information, seizure information or fall information. For example, the activity information of the user may include driving time information, time information for sitting for a day, information on time for going up and down, exercise time information, overeating information, and the like.
According to one embodiment, the smart belt 100 may acquire pattern information obtained by patterning a motion (e.g., an acceleration value, an angular velocity value, a tension value, etc.) corresponding to a user's activity and store the pattern information in a memory have. The smart belt 100 can generate the activity information of the user by comparing the pattern information stored in the memory with the movement of the user currently measured.
The operation in which the smart belt 100 collects information on various activities of the user will be described later in detail with reference to Figs. 26 to 44. Fig.
In step S2530, the smart belt 100 may provide the user with activity information. For example, the smart belt 100 may transmit activity information to the host terminal 200 or the server 300. [ At this time, the activity information of the user can be displayed on the host terminal 200. [ For example, the user can confirm the commute time information, the nighttime information, the defecation information, the laughter information, the drinking information, the smoking information, the seizure information, the falling information, or the like through the host terminal 200. On the other hand, when the smart belt 100 includes the display unit, the smart belt 100 may display the activity information of the user through the display unit.
Hereinafter, an embodiment in which the activity information of a user is generated in the smart belt 100 and the activity information of the user is displayed in the host terminal 200 will be described in detail with reference to FIGS. 26 to 44. FIG.
26 is a flowchart for explaining a method for providing information on whether or not the nighttime according to an embodiment is provided.
In step S2610, the smart belt 100 may acquire information on whether or not the smart belt 100 is detached from the user.
For example, the smart belt 100 may use at least one of a magnetic sensor, a proximity sensor, a waist circumference sensor 112, an inertia sensor 111 (e.g., an acceleration sensor and the like), and a tension sensor 113, Whether or not the smart belt 100 is worn or worn.
For example, when the value sensed by the magnetic sensor is changed from '000' to '001', the smart belt 100 determines that the user has started wearing the smart belt 100, It can be determined that the user has finished wearing the smart belt 100 when the value is '000' for a predetermined time or more (for example, 30 minutes or more) (see FIG.
The smart belt 100 may be configured such that the acceleration value measured by the inertial sensor 111 is within the first threshold range or the tension value measured by the tension sensor 113 is within the second threshold range, The user may determine that the user is wearing the smart belt 100. However, the present invention is not limited thereto. The manner in which the smart belt 100 determines whether or not the user removes the smart belt 100 may vary.
In step S2620, the smart belt 100 may identify the total time the user wears the smart belt 100, based on information about whether or not the smart belt 100 has been removed by the user.
For example, the smart belt 100 may store information on the time when the user starts wearing the smart belt 100 (for example, 8:00 am) and the time when the user wears the smart belt 100 (For example, 14 hours) when the user wears the smart belt 100 by using information about the time when the user wears the smart belt 100. [
In step S2630, the smart belt 100 may compare the threshold time with the total time information (e.g., 14 hours) when the user wears the smart belt 100. [ Here, the threshold time may be a time that becomes a reference for distinguishing the normal workout from the night work. At this time, the critical time may be determined in consideration of a travel time required for commuting. For example, if the normal working hours are from 9:00 am to 6:00 pm, and the round trip time required for commuting is one hour, the threshold time may be 10 hours. At this time, the threshold time may be a predetermined time range (for example, 10 hours to 10 hours and 30 minutes) in consideration of the error.
On the other hand, the threshold time may be set by the user and may be adjusted by the user. For example, if the user's total working time is adjusted from '9 hours' to '5 hours', the user can adjust the threshold time from 10 hours and 30 minutes to 6 hours and 30 minutes.
If it is determined in step S2640 that the total time the user wears the smart belt 100 is less than or equal to the threshold time, the smart belt 100 may determine that the user has left the normal work. For example, if a user wears a smart belt at 8:30 am and arrives at 9:00 am and then leaves at 6:00 pm and arrives at 6:30 pm at home, It is possible to detect that the total time of wearing the smart belt 100 is 10 hours. At this time, since the total time (for example, 10 hours) when the user wears the smart belt 100 is smaller than the threshold time (for example, 10 hours and 30 minutes), the smart belt 100 can determine that the user has left the normal work have.
In step S2650, if the total time the user wears the smart belt 100 is greater than the threshold time, the smart belt 100 may determine that the user is working overnight. For example, if a user wears a smart belt at 8:30 am and arrives at 9:00 am and then leaves at 9:00 pm and arrives at 9:30 pm at home, It is possible to detect that the total time when the smart belt 100 is worn is 13 hours. At this time, since the total time (for example, 13 hours) when the user wears the smart belt 100 is greater than the critical time (for example, 10 hours and 30 minutes), the smart belt 100 can determine that the user is busy .
In step S2660, the smart belt 100 generates information (hereinafter referred to as " nighttime information ") about whether or not the user is at nighttime, and can provide the information to the user. For example, the smart belt 100 may generate the user's nightly information, including the day of the week, the hour of the night, the number of nights spent during a week, the average number of nights spent during a month, etc. In one embodiment, The smart belt 100 may provide nighttime information to the host terminal 200 (e.g., the user's mobile terminal). At this time, the user can inquire about the nighttime information through the host terminal 200. [ For example, the user can execute a specific application installed in the mobile terminal and confirm the nighttime information generated in the smart belt 100 through the execution screen of the specific application. 27 and 28, an example screen in which nighttime information is provided will be described.
FIG. 27 is a view showing a screen for providing nighttime information on a weekly basis according to an embodiment.
Referring to FIG. 27, the smart belt 100 may generate the user's nighttime information by comparing the total time information of the user wearing the smart belt 100 and the appropriate working hours. In Fig. 27, the case in which the proper working time is 11 hours including the time required for commuting to and from the commute (for example, 2 hours) will be described as an example.
The host terminal 200 can display the nighttime information received from the smart belt 100 on the screen in response to the user input. For example, the host terminal 200 may include a graph 2720 indicating the number of times of the work in the current week (2710), a total working time of the user by day (i.e., the total time spent wearing the smart belt) The number of times information 2730, and the like may be displayed, but the present invention is not limited thereto.
FIG. 28 is a view showing a screen for providing nighttime information on a monthly basis according to an embodiment.
Referring to FIG. 28, the host terminal 200 can display an indicator 2810 indicating the day on which the calendar 2800 is in the night. For example, the host terminal 200 may display a half-moon-shaped icon on the day when it is in the night, but the present invention is not limited thereto.
According to one embodiment, the host terminal 200 may display the night time (e.g., four hours) on the calendar 2800 with the indicator 2810. [ In this case, the user can grasp at a glance the current nighttime state of the current month while viewing the calendar 2800. [
26 to 28, the smart belt 100 determines whether or not it is nighttime based on the total time the user wears the smart belt 100, but the present invention is not limited thereto. According to one embodiment, the smart belt 100 may determine whether the user is at night or not, based on a time excluding a time required for commuting from the entire time when the smart belt 100 is worn. For example, the smart belt 100 uses the position information of the user (for example, time information on the company) to determine that the user is in normal work when he / she walks the smart belt 100 and remains in the company for 9 hours , It can be determined that the user is in the nighttime when the user stays in the company for 11 hours while wearing the smart belt 100.
29 is a flowchart for explaining a method of providing a user's defecation information according to an embodiment.
In step S2910, the smart belt 100 may acquire information on whether or not the smart belt of the user is attached or detached.
Information regarding the removal and installation of the smart belt 100 may include wear start time information (e.g., 8:00 am) as to when the user wore the smart belt 100, information about when the user finally wraps the smart belt End time information (for example, 10:00 pm), and information on the number of times the smart belt 100 has been loosened or re-worn by the user during the day (for example, five times). The information on the attachment and detachment of the smart belt 100 may further include information on the time (for example, 7 minutes) until the smart belt 100 is loosened and then worn again. The step S2910 corresponds to the step S2610 in Fig. 26, so a detailed description will be omitted.
In step S2920, the smart belt 100 may acquire the user's defecation information based on information on whether or not the smart belt 100 is detached from the user. Here, the user's defecation information includes information on the defecation frequency (e.g., once / day), defecation required time (e.g., 5 minutes), average defecation time (e.g., 10 minutes) Diarrhea, constipation, normal), but are not limited thereto.
According to one embodiment, the smart belt 100 can determine whether the time taken until the smart belt 100 is loosened and then worn again is within a threshold time. For example, if the time taken until the smart belt 100 is loosened and then worn again is within 30 minutes, the smart belt 100 can be determined that the user has defecated. On the other hand, if the time taken until the smart belt 100 is loosened and then worn again exceeds 30 minutes, the smart belt 100 may determine that the user has not defecated. For example, if the user loosens the smart belt 100 while exercising and then worn again after 1 hour, the number of bowel movements counted by the smart belt 100 may not be affected.
According to one embodiment, the smart belt 100 may determine 'diarrhea' when the user defecates more than four times a day, and 'constipation' when defecating less than three times a week.
In step S2930, the smart belt 100 may provide the user's defecation information. For example, when the smart belt 100 includes a display portion, the display portion can display the user's defecation information.
In addition, the smart belt 100 may provide defecation information through the host terminal 200 (e.g., a user's mobile terminal). At this time, the user can inquire the defecation information through the host terminal 200. For example, the user can execute a specific application installed in the host terminal 200 and confirm the defecation information generated in the smart belt 100 through the execution screen of the specific application. Referring to FIGS. 30 and 31, the defecation information provided by the host terminal 200 will be described in further detail.
30 is a view showing a screen for providing the defecation information according to one embodiment on a daily basis.
Referring to FIG. 30, the smart belt 100 may transmit the defecation information generated based on information on whether or not the smart belt 100 is detached by the user to the host terminal 200. In FIG. 30, the case where the recommended defecation time is 10 minutes or less per one time will be described as an example.
According to one embodiment, in response to a user input, the host terminal 200 can display the defecation information received from the smart belt 100 on the screen. For example, the host terminal 200 stores today's defecation information 3010 (for example, the number of defecation 5, the average defecation time 10, the number of times the recommended defecation time has exceeded 2) It can be displayed briefly.
The host terminal 200 may also provide detailed information 3020 on defecation. For example, the host terminal 200 includes an indicator 3021 indicating whether or not each of the defecation times exceeds the recommended defecation time, information 3022 regarding the time at which each defecation is made, It is possible to display the time for defecation 3023.
The user can check the defecation information through the host terminal 200 and delete the defecated information that has been collected improperly. For example, if the defecation is not made in PM 05: 30-PM 05:33, the user can delete the defecation information corresponding to PM 05: 30-PM 05:33 on the screen.
31 is a view showing a screen for providing defecation information according to one embodiment on a weekly basis.
Referring to FIG. 31, the host terminal 200 may provide defecation information on a weekly basis. For example, the host terminal 200 may provide the bow stance frequency information 3100 in the form of a bar graph, but is not limited thereto.
According to one embodiment, when the user swipes left or right while touching the area where the bar graph is displayed, the host terminal 200 may provide last week's defecation information.
On the other hand, although not shown in FIG. 31, the host terminal 200 may provide defecation information on a monthly basis. For example, the host terminal 200 may display the number of times of bowel movement on the calendar.
32 is a flowchart for explaining a method of providing smoking information of a user according to an embodiment.
In step S3210, the smart belt 100 may acquire the tension information of the smart belt 100. [ For example, the smart belt 100 may measure the tension at a third point between a first point and a second point on the smart belt 100. [ The method of measuring the tension in the tension sensor 113 has been described above, and thus will not be described here.
In step S3220, the smart belt 100 may analyze the tension information of the smart belt 100 to determine the user's breathing pattern.
For example, if the user breathes in a normal state, the change in tension value may not be large. On the other hand, if the user is breathing heavily, the tension value can suddenly increase. Accordingly, the smart belt 100 can determine that the user is breathing heavily when the tension value suddenly increases.
Meanwhile, the smart belt 100 may determine the breathing pattern of the user by further considering the acceleration information measured by the acceleration sensor. For example, if the user breathed and exhaled greatly, the value of the acceleration could suddenly increase. Accordingly, when the value of the acceleration and the value of the tension change greatly, the smart belt 100 can determine that the user breathed and exhaled greatly.
In step S3230, the smart belt 100 may generate the user's smoking information by comparing the determined respiration pattern with a pre-stored breathing pattern during smoking (hereinafter, referred to as 'smoking pattern').
Referring to FIG. 33, a smoking pattern (hereinafter, referred to as a 'smoking pattern') will be described. When the user smokes, the abdomen expands more than usual and the abdomen expands, so that the tension value (or the tension change value) sensed by the smart belt 100 increases can do. Further, when the user smokes, the acceleration value (or the acceleration variation amount) measured by the acceleration sensor can also be increased. Accordingly, the smart belt 100 can store a change in the tension value and / or the acceleration value when the user smokes the smoking pattern 3300. [
According to one embodiment, the smart belt 100 may monitor the breathing pattern of the user and may determine that the user has smoked when the breathing pattern of the user becomes similar to the smoking pattern 3300.
According to one embodiment, the smart belt 100 compares the breathing pattern of the user with the smoking pattern 3300 to determine smoking information including the number of times of smoking per day, the smoking time, the average number of smoking times per week, But is not limited thereto. For example, the smoking information may include information indicating whether or not it exceeds the reference number of smoking times (for example, 10 times a day). The number of standard smoking times may be the number of times set by the user.
In step S3240, the smart belt 100 may provide the user's smoking information. For example, when the smart belt 100 includes a display portion, the smart belt 100 may display the user's smoking information through the display portion.
In addition, the smart belt 100 may provide smoking information through the host terminal 200 (e.g., a user's mobile terminal). At this time, the user can inquire smoking information through the host terminal 200. For example, the user can execute a specific application installed in the host terminal 200 and confirm the smoking information generated in the smart belt 100 through the execution screen of the specific application. Referring to FIG. 34, the smoking information provided by the host terminal 200 will be described in further detail.
34 is a view showing a screen for providing smoking information of a user according to an embodiment. Referring to FIG. 34, the smart belt 100 can generate user's smoking information based on a result of comparing a user's breathing pattern with a pre-stored smoking pattern. According to one embodiment, comparing the breathing pattern to the smoking pattern may comprise comparing the measured tension value to a tension value included in the smoking pattern.
According to one embodiment, the smart belt 100 may transmit the generated smoking information to the host terminal 200. [ In this case, the host terminal 200 can display the smoking information on the screen.
Referring to a screen 3410, the host terminal 200 can provide smoking information on a day-by-day basis. For example, the host terminal 200 may display information 3411 on the number of times of smoking today (for example, 3). The host terminal 200 may also provide a graph 3412 indicating the smoking time, the smoking level, etc., using the tobacco icon. At this time, the smoking level may correspond to the time required for smoking. For example, if the time required for smoking is long, the smart belt 100 may determine that the user has taken several cigarettes instead of one cigarette. Therefore, the longer the smoking time is, the higher the smoking level can be. The host terminal 200 may provide information 3413 on the number of times of smoking on the previous day.
Referring to the screen 3420, the host terminal 200 may provide smoking information on a weekly basis. For example, the host terminal 200 may provide the number of times of smoking per day 3421 in the form of a bar graph, but is not limited thereto. The host terminal 200 can display the warning icon 3422 on the day when the user has smoked exceeding the reference number of smoking times (for example, 10 times).
According to one embodiment, when the user swipes left or right while touching the area where the bar graph is displayed, the host terminal 200 may provide the last week's smoking information.
On the other hand, although not shown in FIG. 34, the host terminal 200 may provide smoking information on a monthly basis. For example, the host terminal 200 may display the number of times of smoking on the calendar.
35 is a flowchart for explaining a method of providing laughter information of a user according to an embodiment.
In step S3510, the smart belt 100 may acquire the tension information of the smart belt 100. [ For example, the smart belt 100 may measure the tension at a third point between a first point and a second point on the smart belt 100. [
In step S3520, the smart belt 100 may analyze the tension information to determine the user's breathing pattern.
Steps S3510 and S3520 correspond to steps S3210 and S3220 in Fig. 31, and a detailed description thereof will be omitted.
In step S3530, the smart belt 100 may generate the user's laughing information by comparing the determined breathing pattern with the pre-stored laughter breathing pattern (hereinafter, laughing pattern).
The laugh pattern will be described with reference to Fig. When the user laughs, since the force is applied to the abdomen, the tension value (or the tension change value) measured on the smart belt 100 may increase sharply. Further, when the user is smiling, the acceleration value (or the acceleration variation amount) measured on the smart belt 100 can also be increased. Thus, the smart belt 100 can store a change in the tension value and / or the acceleration value when the user laughs in the laugh pattern 3600. [
According to one embodiment, the smart belt 100 may monitor the breathing pattern of the user and may determine that the user is smiling when the breathing pattern of the user becomes similar to the laughing pattern 3600. Accordingly, the smart belt 100 can generate laughter information including a laugh count, a laughing count, a weekly average laugh count, and the like by comparing the breath pattern of the user with the laugh pattern 3600. However, It is not. For example, the laughter information may include laughter intensity (level). The smart belt 100 can determine the laugh strength (level) based on the laugh duration time, the degree of change in the tension value, and the like.
In step S3540, the smart belt 100 may provide the user's laughing information.
For example, when the smart belt 100 includes a display portion, the smart belt 100 may display the user's laughing information through the display portion.
The smart belt 100 may also provide laughter information through the host terminal 200 (e.g., the user's mobile terminal). At this time, the user can inquire laughter information through the host terminal 200. For example, the user can execute a specific application installed in the host terminal 200 and confirm laughter information generated in the smart belt 100 through the execution screen of a specific application. 37, the laughter information provided by the host terminal 200 will be described in further detail.
37 is a view showing a screen for providing laughter information of a user according to an embodiment.
Referring to FIG. 37, the smart belt 100 may generate the user's laughing information based on a result of comparing the user's breathing pattern with the pre-stored laughing pattern. According to one embodiment, comparing the breathing pattern to the laughing pattern may include comparing the measured tension value to the tension value included in the laughing pattern.
According to one embodiment, the smart belt 100 may transmit the generated laughter information to the host terminal 200. [ In this case, the host terminal 200 can display the laughter information on the screen.
Referring to a screen 3710, the host terminal 200 can provide laughter information on a day-by-day basis. For example, the host terminal 200 can display information 3711 about the number of laughs (e.g., 3) today. The host terminal 200 may also provide a graph 3712 indicating the laughter time, laughter level, etc., using the smile icon. At this time, the laugh level can correspond to the laughter duration time, the degree of change of the tension value, and the like. The host terminal 200 may provide information 3713 on the number of laughs of the previous day.
Referring to the screen 3720, the host terminal 200 may provide laughter information on a weekly basis. For example, the host terminal 200 may provide the number-of-laughs information 3721 per day in the form of a bar graph, but is not limited thereto. The host terminal 200 may display a praise icon (e.g., good) 3722 on the day when the user laughs beyond the reference number of laughs (e.g., five times).
According to one embodiment, when the user swipes left or right while touching the area where the bar graph is displayed, the host terminal 200 may provide laugh information last week. On the other hand, although not shown in FIG. 37, the host terminal 200 may provide laughter information on a monthly basis. For example, the host terminal 200 may display the number of laughs information on the calendar.
38 is a flowchart for explaining a method of providing drinking information of a user according to an embodiment.
In step S3810, the smart belt 100 can acquire the motion information of the user wearing the smart belt 100. [
According to one embodiment, the smart belt 100 can sense movement of a user by using the inertial sensor 111, the tension sensor 113, and the like. For example, the smart belt 100 can acquire user's movement, user's moving speed information, user's moving direction information, user's tilt information, and user's altitude information.
In addition, the smart belt 100 may acquire position information of a user (e.g., GPS coordinate value information, local information, building information, position change amount information for a predetermined time) using a position sensor, (For example, body temperature information, breathing information, sweat discharge amount information, etc.) of the user. The smart belt 100 may also acquire the tension information of the smart belt 100 using the tension sensor 113. [
In step S3820, the smart belt 100 may analyze the motion information of the user to determine the user's walking pattern.
According to one embodiment, the smart belt 100 may use at least one of an acceleration value, a slope value, a position value, and a pressure value to determine whether the user is in a stopped state, a walking state, or a running state. Further, even when the smart belt 100 determines that the user is walking, the user may determine whether the user walks or straightens by using an acceleration sensor, a gyro sensor, or the like. Accordingly, the smart belt 100 can determine the current walking pattern of the user based on the sensor value received from the at least one sensor.
In step S3830, the smart belt 100 can generate drinking information of the user by comparing the determined step pattern with a breathing pattern (hereinafter referred to as a drinking pattern). Here, the drinking information may include, but is not limited to, a drinking cycle, number of times of drinking, day of drinking information, and the like.
39, the drinking pattern will be described. The user can not walk properly if the user drinks and gets drunk. Accordingly, when the user is in a dull state as compared with the steady state, the acceleration value and the tension value measured on the smart belt 100 can be largely shaken. Accordingly, the smart belt 100 can store a change in the tension value and / or the acceleration value when the user is in the state of being taken as the drinking pattern 3900. [
According to one embodiment, the smart belt 100 monitors the movement of the user and can determine that the user has drunk when the user's walking pattern becomes similar to the drinking pattern 3900. [ Accordingly, the smart belt 100 may generate drinking information including the number of times of drinking, weekday of drinking, etc. by comparing the user's walking pattern and the drinking pattern 3900, but is not limited thereto. For example, the drinking information may include drinking intensity (level). At this time, the intensity of drinking may correspond to the degree of drunkenness. The smart belt 100 can determine the intensity of drinking (level) based on the magnitude of the change in the acceleration value or the magnitude of the change in the tension value.
In step S3840, the smart belt 100 may provide drinking information of the user. For example, if the smart belt 100 includes a display portion, the smart belt 100 may display the user's drinking information through the display portion.
In addition, the smart belt 100 may provide drinking information through the host terminal 200 (e.g., a user's mobile terminal). At this time, the user can inquire drinking information through the host terminal 200. [ For example, the user can execute a specific application installed in the host terminal 200, and confirm the drinking information generated in the smart belt 100 through the execution screen of the specific application. Referring to FIG. 40, the drinking information provided by the host terminal 200 will be described in further detail.
40 is a view showing a screen for providing drinking information according to an embodiment.
Referring to FIG. 40, the smart belt 100 may generate the user's laughing information based on a result of comparing a user's walking pattern with a pre-stored drinking pattern. According to one embodiment, comparing the step pattern to the drinking pattern may include comparing the measured acceleration value to an acceleration value included in the drinking pattern.
According to one embodiment, the smart belt 100 may transmit the generated drinking information to the host terminal 200. [ In this case, the host terminal 200 can display drinking information on the screen.
Referring to the screen 4010, the host terminal 200 may provide drinking information on a week basis. For example, the host terminal 200 can display information 4011 on the number of times of drinking (for example, three times) during this week. Further, the host terminal 200 may provide a graph 4012 indicating the drinking day by using an icon indicating the drinking (for example, a beer cup image). The host terminal 200 may display information 4013 on the number of times of drinking (for example, twice) during the past week.
Referring to a screen 4020, the host terminal 200 may provide drinking information in units of months. For example, the host terminal 200 may display an indicator 4022 indicating the date of drinking on the calendar 4021. [ For example, the host terminal 200 may display a beer cup icon on the day of drinking, but the present invention is not limited thereto.
41 is a flowchart for explaining a method of transmitting a notification message to a designated device when a user is in a dangerous situation according to an embodiment.
In step S4110, the smart belt 100 may acquire the motion information of the user wearing the smart belt 100. [
According to one embodiment, the smart belt 100 can sense movement of a user by using the inertial sensor 111, the tension sensor 113, and the like. For example, the smart belt 100 can acquire user's movement, user's moving speed information, user's moving direction information, user's tilt information, and user's altitude information.
The smart belt 100 may acquire positional information of the user (e.g., GPS coordinate value information, local information, building information, position change amount information for a predetermined time) using the position sensor, (For example, body temperature information, breathing information, sweat discharge amount information, etc.) of the user. The smart belt 100 may also acquire the tension information of the smart belt 100 using the tension sensor 113. [
In step S4120, the smart belt 100 may analyze the motion information of the user to determine whether the user is in a dangerous situation.
According to one embodiment, the smart belt 100 may determine whether the user is in a dangerous situation by comparing the motion information of the user with the hazard situation pattern information. Here, the dangerous situation pattern information may be data that summarizes a movement pattern appearing in at least one dangerous situation. For example, the risk situation pattern information may include a movement pattern (hereinafter, referred to as a 'seizure pattern') and a movement pattern (hereinafter, referred to as a 'fall pattern' no.
The seizure pattern will be described with reference to FIG. If a user causes seizures due to epilepsy or the like, the user can generally lie down. In this case, the value of one axis (e.g., the z axis) of the three-axis acceleration values does not change significantly, and the values of the other two axes (e.g., the x axis and the y axis) can change rapidly. Also, since the smart belt 100 worn by the user is also applied due to the seizure of the user, the tension value of the smart belt 100 can also be changed rapidly.
According to one embodiment, the smart belt 100 may store a change in the tension value and / or the acceleration value when the user seizures as the seizure pattern 4200. The smart belt 100 monitors the movement of the user and can determine that the user is experiencing a seizure if the movement of the user becomes similar to the seizure pattern 4200.
On the other hand, the fall pattern will be described with reference to FIG. When the user falls, the acceleration value measured on the smart belt 100 may suddenly change. When the acceleration sensor included in the smart belt 100 is a three-axis acceleration sensor, it is possible to detect that the acceleration value of one axis among three axes largely changes. In addition, since the user also falls on the smart belt 100 worn by the user, the tension value of the smart belt 100 can also be rapidly changed.
According to one embodiment, the smart belt 100 may store a change in tension value and / or acceleration value when the user falls, as a fall pattern 4300. The smart belt 100 monitors the movement of the user and can determine that the user has fallen if the movement of the user becomes similar to the fall pattern 4300.
According to one embodiment, the smart belt 100 may determine that the user is in a dangerous situation if the user has caused a seizure or has fallen.
In step S4130, the smart belt 100 may monitor the movement of the user again if it is determined that the user is not in a dangerous state as a result of comparing the currently obtained motion information of the user with the pre-stored risk situation pattern information . In step S4140, if the smart belt 100 determines that the user is in a dangerous situation, it may send a notification to the pre-designated device. For example, the smart belt 100 can send a notification that the user is in a dangerous situation to the device of the protector. The smart belt 100 may also send a notification to a medical institution server or an emergency status server. Referring to FIG. 44, the operation of transmitting a notification by the smart belt 100 will be described in detail.
FIG. 44 is a view for explaining an operation when a smart belt according to an embodiment detects a dangerous situation of a user.
Referring to FIG. 44, the smart belt 100 may monitor the movement of a user wearing the smart belt 100, and may detect that the user has caused a seizure or has fallen. At this time, the smart belt 100 can transmit seizure (fall) occurrence information to the host terminal 200 (e.g., the user's mobile terminal).
The host terminal 200 may transmit a notification message to a predetermined device 4400 (e.g., a device of a guardian stored in advance) when the host terminal 200 receives seizure (falling) occurrence information from the smart belt 100. [ Then, the host terminal 200 may output a message (for example, a suspicious motion is detected in a pop-up window 4410 and a notification is sent to the entered guardian).
The host terminal 200 may send a notification to the medical institution server 4420. [ For example, the host terminal 200 may send a message to the medical institution server 4420 requesting an ambulance along with the user's status information (e.g., seizures or falls) and current location information.
According to an embodiment, the smart belt 100 may directly transmit a notification message to a predetermined device 4400 (e.g., a device of a guardian stored in advance), or may transmit a notification to the medical institution server 4420. [ In addition, the smart belt 100 may output an alarm signal 4430 (e.g., an audio signal, a vibration signal, etc.) when a dangerous situation occurs to the user.
25 to 44, the case where the smart belt 100 generates the activity information of the user has been described, but the present invention is not limited thereto. For example, the host terminal 200 may generate user activity information. Referring to FIG. 45, a case where the activity information of a user is generated in the host terminal 200 will be described in detail.
45 is a flowchart for illustrating a method of generating a user's activity information by a host terminal according to an embodiment.
In step S4510, the smart belt 100 and the host terminal 200 may form a communication link.
For example, the smart belt 100 may form a short-range communication link with the host terminal 200 and may form a mobile communication link (e.g., 3G, 4G, 5G, etc.). The local communication may include, but is not limited to, Bluetooth, Bluetooth low energy (BLE), Wi-Fi direct, ultra wideband (UWB), Zigbee, Near Field Communication unit (NFC)
In step S4520, the smart belt 100 may obtain information on whether or not the smart belt 100 is detached from the user. Herein, the information on whether or not the smart belt 100 is detached may include information on wear start time information (for example, 8:00 am) regarding when the user wears the smart belt 100, information on when the user finally released the smart belt 100 (For example, five times) regarding how often the user unfastened the smart belt 100 during the day and rewound it, And information on whether or not the user wears a wristwatch, but the present invention is not limited thereto.
According to one embodiment, the smart belt 100 is configured such that, based on signals received from at least one of the inertial sensor 111, the waist circumference sensor 112, the tension sensor 113, 100) is worn.
In step S4530, the smart belt 100 can acquire the motion information and the tension information of the user wearing the smart belt 100. For example, when it is determined that the user is wearing the smart belt 100, the smart belt 100 may acquire the user's motion information or the tension information of the smart belt 100.
According to one embodiment, the smart belt 100 can sense movement of the user using the inertial sensor 111. [ For example, the smart belt 100 can acquire user's movement, user's moving speed information, user's moving direction information, user's tilt information, and user's altitude information.
In addition, the smart belt 100 may acquire position information of a user (e.g., GPS coordinate value information, local information, building information, position change amount information for a predetermined time) using a position sensor, (For example, body temperature information, breathing information, sweat discharge amount information, etc.) of the user.
According to one embodiment, the smart belt 100 may use the tension sensor 113 to obtain the tension information of the smart belt 100. For example, the smart belt 100 may measure the tension of the smart belt 100 using a force sensing resistor (FSR) sensor 102 or a strain gauge 106, but is not limited thereto . Since the smart belt 100 acquires the motion information of the user and the tension information of the smart belt 100, it has been described in detail before, and a detailed description thereof will be omitted here.
In step S4540, the smart belt 100 may transmit information about whether or not the smart belt 100 is detached, the user's motion information, and the tension information of the smart belt 100 to the host terminal 200. [
According to one embodiment, the smart belt 100 may periodically transmit information on whether or not the smart belt 100 is detached, user's motion information, and tension information of the smart belt 100 to the host terminal 200. For example, the smart belt 100 may transmit information about whether or not the smart belt 100 is detached, the user's motion information, and the tension information of the smart belt 100 to the host terminal 200 once an hour.
According to one embodiment, the smart belt 100 transmits information about whether or not the smart belt 100 is detached, the user's motion information, and the tension information of the smart belt 100 when a request is received from the host terminal 200 It is possible. For example, when the host terminal 200 receives an input for executing a diary application from a user, the host terminal 200 transmits information about whether or not the smart belt 100 is detached to the smart belt 100, , And may request the tension information of the smart belt (100). In this case, the smart belt 100 can transmit information on whether or not the smart belt 100 is detached, user's motion information, and tension information of the smart belt 100 to the host terminal 200.
In step S4550, the host terminal 200 may analyze the information received from the smart belt 100 to generate the activity information of the user.
For example, the host terminal 200 can generate user activity information based on information on whether or not the smart belt 100 is detached, user's motion information, or tension information. Here, the activity information of the user may mean information about activities performed until the user wakes up and sleeps. For example, the activity information of the user may include, but is not limited to, the commute time information of the user, nighttime information, defecation information, laughter information, drinking information, smoking information, seizure information or fall information.
According to one embodiment, the host terminal 200 acquires pattern information obtained by patterning motions (e.g., acceleration values, angular velocity values, tension values, etc.) corresponding to user's activities, and stores the pattern information in a memory have. The host terminal 200 can generate the activity information of the user by comparing the pattern information stored in the memory with the movement of the user currently measured.
In step S4560, the host terminal 200 can display the activity information of the user. For example, the host terminal 200 may execute a specific application according to a user input, and may execute a specific application through the application execution screen, or may display the user's commute time information, nighttime information, defecation information, laughter information, drinking information, Fall information and the like can be provided.
According to an embodiment of the present invention, the smart belt 100 transmits information about whether or not the smart belt 100 is detached, user's movement information, and tension information of the smart belt 100 to the server 300, The information on whether or not the smart belt 100 is attached or detached, the motion information of the user, and the tension information of the smart belt 100 may be generated.
46 is a block diagram for explaining a configuration of a smart belt according to an embodiment.
46, the smart belt 100 may include a sensor 110, a control unit 120, a communication unit 130, a memory 140, and a power supply unit 150. However, not all illustrated components are required. The smart belt 100 may be implemented by more components than the components shown, and the smart belt 100 may be implemented by fewer components. For example, the smart belt 100 may further include an input / output section 160.
Hereinafter, the components will be described in order.
The sensing unit 110 may include at least one sensor for sensing the state of the smart belt 100 or the state of the user wearing the smart belt 100. [ For example, the sensing unit 110 may include an inertial sensor 111, a waist circumference sensor 112, and a tension sensor 113.
The inertial sensor 111 may include a geomagnetic sensor, an acceleration sensor, a gyroscope sensor, a tilt sensor, or the like for sensing the movement of a user wearing the smart belt 100. However, It is not.
The inertial sensor 111 can acquire information on the movement of the user, the moving speed information of the user, the moving direction information of the user, the slope information of the user, and the altitude information of the user.
The waistline sensor 112 measures the waist circumference of a user wearing the smart belt 100 and may include an optical sensor, an image sensor, a magnetic sensor, and the like, but is not limited thereto . For example, the waistline sensor 112 may be an incremental linear encoder system, an absolute linear encoder system, an incremental rotary encoder system, Method, and an absolute rotary encoder method, for measuring the waist circumference. Further, the smart belt 100 may measure the waist circumference of the user by using an image sensor or a magnetic field sensor.
According to one embodiment, the length measuring sensor 112 can calculate the waist circumference by measuring the length between the first point and the second point on the smart belt 100. [
The tension sensor 113 may be a sensor for measuring the amount of tension or tension applied to the smart belt 100, and the like. The tension sensor 113 may include, but is not limited to, a force sensing resistor (FSR) sensor 102 or a strain gauge 106. Meanwhile, according to one embodiment, the tension sensor 113 can be positioned between the clip portion 20 and the belt portion 30.
According to one embodiment, the tension sensor 113 may measure the tension at a third point located between the first point and the second point of the smart belt 100. [
The sensing unit 110 may further include a proximity sensor 114 and a temperature sensor 115. The function of each sensor can be intuitively deduced from the name by those skilled in the art, so a detailed description will be omitted.
The control unit 120 typically controls the overall operation of the smart belt 100. For example, the control unit 120 can control the sensing unit 110, the communication unit 130, the input / output unit 160, and the like in general by executing programs stored in the memory 140. [
The control unit 120 may control a plurality of hardware or software components connected to the control unit 120 by driving an operating system or an application program, and may perform various data processing and calculations. The control unit 120 may be implemented as a system on chip (SoC), for example. For example, the control unit 120 may include one or more of a central processing unit (CPU), an application processor (AP), or a communication processor (CP) .
According to one embodiment, the control unit 120 controls the operation of the smart belt 100 based on a signal received from at least one of the inertial sensor 111, the waist circumference sensor 112, and the tension sensor 113 It can be judged whether or not it is worn. For example, if the acceleration value measured by the inertial sensor 111 exceeds a threshold value, the waist-circumference sensor 112 identifies a bar code value marked on the belt portion 30 using an optical sensor, 113 may exceed the critical tension value, the controller 120 may determine that the user is wearing the smart belt 100.
The control unit 120 may determine the movement state of the user using the movement information of the user and may control the waist circumference sensor 112 to measure the waist circumference of the user according to the movement state of the user. According to one embodiment, the control unit 120 determines the timing for measuring the waist circumference of the user based on the movement state of the user, and determines the waist circumference sensor 112 to measure the waist circumference of the user at the determined timing Can be controlled. For example, the controller 120 may activate the waist circumference sensor 112 to measure the waist circumference of the user when the motion state of the user is determined to be an upright state.
The control unit 120 may acquire the user's breathing information based on the tension information, and may determine a time for measuring the waist circumference of the user based on the breathing information of the user.
The control unit 120 can correct the waist circumference measured by the waist circumference sensor 112 based on the tension information. For example, the control unit 120 can correct the waist circumference measured by the waist circumference sensor 112 by determining a correction circumference value corresponding to the tension information and applying a correction circumference value to the measured waist circumference .
According to one embodiment, the controller 120 may correct the waist circumference measured by the waist circumference sensor 112 in consideration of at least one of the user's body information, gender information, and age information.
According to one embodiment, the control unit 120 may determine the risk of abdominal obesity of the user based on the information about the corrected waist circumference.
According to an embodiment, the controller 120 may correct the length measured by the length measuring sensor 112 using the tension measured by the tension sensor 113 and the stored reference tension information. For example, the control unit 120 may extract a length correction value corresponding to the measured tension from the reference tension information, and apply the length correction value to the measured length. The controller 120 may convert the corrected length into the waist circumference value of the user wearing the smart belt 100. [
According to one embodiment, when at least one of the acceleration sensor, the tension sensor 113, the respiration sensor, and the gyro sensor measures the sensor range, the controller 120 controls the first point of the smart belt 100 The length measuring sensor 112 can be controlled to measure the length between the first point and the second point.
The control unit 120 may further obtain the length change amount information from the predetermined point to the present point on the basis of the corrected length. The predetermined time may be a time point designated by the user or may be the time when the smart belt 100 is started to be used, but the present invention is not limited thereto.
The control unit 120 may correct the measured tension based on the attitude information of the user wearing the smart belt 120 (see Fig. 9). The control unit 120 may generate the activity information of the user using at least one of information about whether or not the smart belt 100 is detached, information about the motion of the user, and tension information about the smart belt 100. [ For example, the activity information of the user may include, but is not limited to, the commute time information of the user, nighttime information, defecation information, laughter information, drinking information, smoking information, seizure information or fall information.
The communication unit 130 may include one or more components that allow communication between the smart belt 100 and the host terminal 200 or between the smart belt 100 and the server 300. [ For example, the communication unit 130 may include a short-range communication unit 131 and a mobile communication unit 132. [
The short-range wireless communication unit 131 includes a Bluetooth communication unit, a BLE (Bluetooth Low Energy) communication unit, a Near Field Communication unit, a WLAN communication unit, a Zigbee communication unit, IrDA, an infrared data association) communication unit, a WFD (Wi-Fi Direct) communication unit, an UWB (ultra wideband) communication unit, an Ant + communication unit, and the like.
The mobile communication unit 132 transmits and receives radio signals to at least one of the base station, the external terminal, and the server 300 on the mobile communication network. Here, the wireless signal may include various types of data.
The communication unit 130 receives at least one of the information about the waist circumference measured by the smart belt 100, the information about the waist circumference corrected by the smart belt 100, the motion information of the user, and the tension information of the smart belt 100 To the external device. Here, the external device may include a host terminal 200, an external wearable device (e.g., HMD (head mounted display) device, smart clock, band, etc.)
According to one embodiment, the communication unit 130 may further transmit information on the risk of abdominal obesity to an external device.
The memory 140 may store a program for processing and control of the controller 120 and may store data input / output (e.g., waist circumference information, user's motion information, reference tension information, Pattern information, laugh pattern information, drinking pattern information, seizure pattern information, fall pattern information, etc.).
The memory 140 may include, for example, an internal memory or an external memory. The internal memory may be, for example, a volatile memory (e.g., dynamic RAM, SRAM, or synchronous dynamic RAM (SDRAM)), a non-volatile memory (e.g., an OTPROM time programmable ROM (ROM), programmable ROM (PROM), erasable and programmable ROM (EPROM), electrically erasable and programmable ROM (EEPROM), mask ROM, flash ROM, flash memory (such as NAND flash or NOR flash) Or a solid state drive (SSD).
The external memory may be a flash drive such as a compact flash (CF), a secure digital (SD), a micro secure digital (SD), a mini secure digital (SD), an extreme digital A multi-media card (MMC), a memory stick, or the like. The external memory may be functionally and / or physically connected to the smart belt 100 through various interfaces. In addition, the smart belt 100 may operate web storage that performs a storage function of the memory 140 on the Internet.
For example, the programs stored in the memory 140 may be classified into a plurality of modules according to their functions. For example, the programs include an orientation detection module 141, a circumference detection / correction module 142, a breath detection module 143, A detection module 144, an obesity determination module 145, and the like.
The posture detecting module 141 can determine the posture of the user by using the acceleration change amount measured by the acceleration sensor, the tension sensor value measured by the tension sensor 113, and the like. For example, when the acceleration variation amount is larger than the minimum threshold value and the tension sensor value is less than the tension threshold value, the posture detection module 141 can determine that the posture of the user is standing. Since the posture detecting module 141 corresponds to the posture detecting module 520 of FIG. 5, a detailed description thereof will be omitted.
The circumference detection / correction module 142 is a module for calculating or correcting the waist circumference of a user wearing the smart belt 100. When the user's posture is a standard posture (e.g., an upright state) The waist circumference sensor 112 may be controlled to measure the waist circumference, or the measured waist circumference may be corrected based on the tension information of the smart belt 100. [
The breath detection module 143 can detect the respiratory cycle based on the amount of change in the tension value. In addition, the breath detection module 143 can determine whether the detected breathing cycle is a stable breathing cycle. For example, when the respiration cycle is 3 to 5 seconds and the number of breaths per minute is 12 to 20, the breath detection module 143 can determine that the breathing of the user is stable. On the other hand, if the breathing cycle is less than 3 seconds and the number of breaths per minute exceeds 20, the breath detection module 143 can judge that breathing is unstable. The breath detection module 143 may correspond to the breath detection module 1100 of Fig.
The attachment / detachment detection module 144 determines whether or not the user wears the smart belt 100 based on a signal received from at least one of the inertia sensor 111, the waist circumference sensor 112, the magnetic sensor and the tension sensor 113 .
The obesity judging module 145 judges whether or not the abdomen of the wearer of the smart belt 100 wearing the smart belt 100 has been determined based on the information about the waist circumference measured by the waist circumference sensor 112 or the information about the waist circumference corrected based on the tension information, It can be judged whether it is obese or not.
According to one embodiment, memory 140 may store information about waist circumference. At this time, the memory 140 may compress the information about the waist circumference, store the compressed information, or may store the uncompressed information. The memory 140 may continuously store the user's waist circumference information in the waist circumference database 146. [
According to one embodiment, the memory 140 may store the tension-based standard table 147 to correct waist circumference based on the tension of the smart belt 100.
The power supply unit 150 may supply power to at least one sensor located inside the smart belt 100 under the control of the control unit 120. The power supply unit 150 may be located in the buckle portion 10 or the clip portion 20, but is not limited thereto.
According to one embodiment, the smart belt 100 may further include an input / output section 160. The input / output unit 160 may include at least one of one or more buttons, a touch screen, a microphone, a speaker, a vibration motor, a connector, a keypad, and an input pen, but is not limited thereto. According to one embodiment, the input / output portion 160 may be located in the buckle portion 10 or the clip portion 20, but is not limited thereto.
For example, the input / output unit 160 may output information about the user's waist circumference (e.g., current waist circumference, waist circumference change amount during a predetermined period, etc.), abdominal obesity risk, and the like. The input / output unit 160 may also receive a user input.
47 is a block diagram illustrating a configuration of a host terminal according to an embodiment.
The host terminal 200 according to one embodiment may include an output unit 210, a communication unit 220, a user input unit 230, a sensing unit 240, a memory 250, and a control unit 260. However, not all illustrated components are required. The host terminal 200 may be implemented by a larger number of components than the illustrated components, and the host terminal 200 may be implemented by fewer components. For example, the host terminal 200 may further include an A / V input unit (not shown).
Hereinafter, the components will be described in order.
The output unit 210 is for outputting an audio signal, a video signal, or a vibration signal. The output unit 210 may include a display unit 211, an acoustic output unit 212, a vibration motor 213, and the like.
The display unit 211 can display and output information processed by the host terminal 200. [ For example, the display unit 211 may display information about the waist circumference of the user wearing the smart belt 100. [
When the display unit 211 and the touch pad have a layer structure and are configured as a touch screen, the display unit 211 may be used as an input device in addition to the output device. The display unit 211 may be a liquid crystal display, a thin film transistor-liquid crystal display, an organic light-emitting diode, a flexible display, a three-dimensional display A 3D display, and an electrophoretic display. According to the embodiment of the host terminal 200, the host terminal 200 may include two or more display units 211. At this time, the two or more display units 211 may be arranged to face each other using a hinge.
The audio output unit 212 outputs audio data received from the communication unit 220 or stored in the memory 250. [ The sound output unit 212 outputs sound signals related to functions (e.g., call signal reception sound, message reception sound, and notification sound) performed by the host terminal 200. [ The sound output unit 212 may include a speaker, a buzzer, and the like.
The vibration motor 213 can output a vibration signal. For example, the vibration motor 213 may output a vibration signal corresponding to an output of audio data or video data (e.g., call signal reception tone, message reception tone, etc.). The vibration motor 213 may also output a vibration signal when the waist circumference information is received from the smart belt 100. [
According to one embodiment, the output unit 210 can output information about the corrected waist circumference. For example, the output unit 210 may output information about the corrected waist circumference in the form of voice, text, still image, or moving image, but is not limited thereto.
The output unit 210 can output information about the calibrated waist circumference each time information about the calibrated waist circumference is received from the smart belt 100. [ Alternatively, the output unit 210 may output information about the calibrated waist circumference through the execution window of the health care application, when an input requesting execution of the health care application is received from the user.
The output unit 210 may display the waist circumferential change amount, the target waist circumference, and the like for a predetermined period in addition to the information about the current waist circumference. In addition, the output unit 210 may output information on abdominal obesity or may output a warning message indicating a metabolic syndrome.
The output unit 210 outputs a warning message indicating health risk, a message encouraging health care, a message indicating that the target waist circumference has been achieved, and the like, based on the information about the waist circumference received from the smart belt 100 . Further, the output unit 210 may display a change in the waist circumference in a graph or an icon image.
According to one embodiment, the output 210 may provide information related to health care to the user. For example, the output unit 210 may store information on exercise methods that can reduce the waist circumference, information on foods that can reduce the waist circumference, diet diet information, and recipe information on foods that can reduce the waist circumference Can be output.
The communication unit 220 may include one or more components that allow communication between the host terminal 200 and the smart belt 100 or between the host terminal 200 and the server 300. [ For example, the communication unit 220 may include a short-range communication unit 221, a mobile communication unit 222, and a broadcast reception unit 223.
The short-range wireless communication unit 221 includes a Bluetooth communication unit, a Bluetooth low energy (BLE) communication unit, a near field communication unit, a WLAN communication unit, a Zigbee communication unit, IrDA, an infrared data association) communication unit, a WFD (Wi-Fi Direct) communication unit, an UWB (ultra wideband) communication unit, an Ant + communication unit, and the like.
The mobile communication unit 222 transmits and receives radio signals to at least one of the base station, the external terminal, and the server 300 on the mobile communication network. Here, the wireless signal may include various types of data depending on a voice call signal, a video call signal, or a text / multimedia message transmission / reception.
The broadcast receiving unit 223 receives broadcast signals and / or broadcast-related information from outside via a broadcast channel. The broadcast channel may include a satellite channel and a terrestrial channel. The host terminal 200 may not include the broadcast receiving unit 223 according to the embodiment.
The communication unit 220 can receive information about the user's waist circumference measured by the smart belt 100, user's motion information, and tension information of the smart belt 100 from the smart belt.
According to one embodiment, the communication unit 220 may receive information on the risk of abdominal obesity from the smart belt 100. The communication unit 220 may also receive information on the risk of abdominal obesity from the server 300 and information on the metabolic syndrome.
The communication unit 220 may receive at least two or more pieces of information from the external device (for example, a blood glucose meter, blood pressure monitor, etc.) of the user, such as blood sugar information, cholesterol information, blood pressure information, and triglyceride information.
The user input unit 230 means means for the user to input data for controlling the host terminal 200. For example, the user input unit 230 may include a key pad, a dome switch, a touch pad (a contact type capacitance type, a pressure type resistive type, an infrared detection type, a surface ultrasonic wave conduction type, A tension measuring method, a piezo effect method, etc.), a jog wheel, a jog switch, and the like, but is not limited thereto.
The sensing unit 240 may sense the state of the host terminal 200 or the surroundings of the host terminal 200 and may transmit the sensed information to the controller 260. [
The sensing unit 240 includes a magnetism sensor 241, an acceleration sensor 242, a tilt sensor 243, an infrared sensor 244, a gyroscope sensor 245, a position sensor 246 ), An image sensor 247, a proximity sensor 248, and an optical sensor 249, but is not limited thereto. The function of each sensor can be intuitively deduced from the name by those skilled in the art, so a detailed description will be omitted.
The memory 250 may store a program for processing and controlling the control unit 260 and may store input / output data (e.g., waist circumference information, user's motion information, tension information, and the like).
The memory 250 may include, for example, an internal memory or an external memory. The internal memory may be, for example, a volatile memory (e.g., dynamic RAM, SRAM, or synchronous dynamic RAM (SDRAM)), a non-volatile memory (e.g., an OTPROM time programmable ROM (ROM), programmable ROM (PROM), erasable and programmable ROM (EPROM), electrically erasable and programmable ROM (EEPROM), mask ROM, flash ROM, flash memory (such as NAND flash or NOR flash) Or a solid state drive (SSD).
The external memory may be a flash drive such as a compact flash (CF), a secure digital (SD), a micro secure digital (SD), a mini secure digital (SD), an extreme digital A multi-media card (MMC), a memory stick, or the like. The external memory may be functionally and / or physically connected to the host terminal 200 through various interfaces. Also, the host terminal 200 may operate a web storage that performs a storage function of the memory 250 on the Internet.
The programs stored in the memory 250 may be classified into a plurality of modules according to their functions. For example, the programs may be classified into an attitude detection module 251, a circumference correction module 252, a respiration detection module 253, A metabolic syndrome judgment module 255, an activity information generation module (not shown), and the like, but the present invention is not limited thereto.
The attitude detecting module 251 detects the attitude of the user by using the motion information of the user received from the smart belt 100 (for example, the amount of acceleration change measured by the acceleration sensor), the tension sensor value measured by the tension sensor 113, The posture can be judged. For example, if the amount of acceleration change is larger than the minimum threshold value and the tension sensor value is less than the tension threshold value, the posture detection module 251 can determine that the posture of the user is standing.
The perimeter correction module 252 can correct the waist circumference measured by the waist circumference sensor 112 of the smart belt 100. For example, the perimeter correction module 252 can correct the measured waist circumference based on the tension information of the smart belt 100.
The breath detection module 253 can detect the respiratory cycle based on the amount of change in the tension value. In addition, the breath detection module 253 may determine whether the detected breathing cycle is a stable breathing cycle. For example, if the respiration cycle is 3 to 5 seconds and the number of breaths per minute is 12 to 20, the breath detection module 253 can determine that the breathing of the user is stable. On the other hand, if the respiratory cycle is less than 3 seconds and the number of breaths per minute exceeds 20, the breath detection module 253 can determine that breathing is unstable.
The obesity judging module 254 can judge whether or not the abdominal obesity of the user wearing the smart belt 100 is based on the information about the waist circumference of the user wearing the smart belt 100. [ The metabolic syndrome judging module 255 diagnoses the metabolic syndrome based on at least two of the information of the user's blood sugar information, cholesterol information, blood pressure information, and triglyceride information and the information about the waist circumference received from the smart belt 100 can do.
According to one embodiment, the memory 250 may store information about the waist circumference of the user. At this time, the memory 250 may store compressed information that is information about the waist circumference, or may store uncompressed information that is not compressed. According to one embodiment, the memory 250 may continuously store the user's waist circumference information in the waist-circumference database 256. [ According to one embodiment, the memory 250 may store the tension-based standard table 257 to correct waist circumference based on the tension of the smart belt 100.
The control unit 260 typically controls the overall operation of the host terminal 200. For example, the control unit 260 can control the output unit 210, the communication unit 220, the user input unit 230, the sensing unit 240, and the like by executing programs stored in the memory 250 have.
The control unit 260 determines the movement state of the user using the movement information of the user and determines the movement state of the user based on at least one of the movement state of the user and the tension information of the smart belt, The circumference can be corrected.
The control unit 260 can determine the risk of abdominal obesity of the user based on the information about the corrected waist circumference. Further, the control unit 260 can diagnose the metabolic syndrome based on at least two or more information among the blood sugar information, cholesterol information, blood pressure information, and triglyceride information of the user and information on the waist circumference.
48 is a block diagram for explaining a configuration of a server according to an embodiment.
As shown in FIG. 48, the server 300 according to an embodiment may include a communication unit 310, a control unit 320, and a storage unit 330. However, not all illustrated components are required. The server 300 may be implemented by more components than the components shown, and the server 300 may be implemented by fewer components.
Hereinafter, the components will be described in order.
The communication unit 310 may include one or more components that allow communication between the server 300 and the smart belt 100 or between the server 300 and the host terminal 200.
For example, the communication unit 310 receives at least the information about the waist circumference corrected based on the motion information of the user, the information about the waist circumference of the user, the tension information of the smart belt, and the tension information from the smart belt 100 One can be received.
The communication unit 310 can transmit the information about the waist circumference corrected based on the tension information to the host terminal 200. [ Also, the communication unit 310 may transmit the risk of abdominal obesity and / or metabolic syndrome diagnosis information to the host terminal 200.
The control unit 320 typically controls the overall operation of the server 300. [ For example, the control unit 320 determines the motion state of the user using the motion information of the user, and determines the motion state of the user based on at least one of the motion state of the user and the tension information of the smart belt The waist circumference of the user can be corrected.
The control unit 320 can determine the risk of abdominal obesity of the user based on the information about the corrected waist circumference. In addition, the control unit 320 can diagnose the metabolic syndrome based on at least two or more information among the blood sugar information, cholesterol information, blood pressure information, and triglyceride information of the user and information on the waist circumference.
The storage unit 330 may store a program for processing by the control unit 320 or may store input / output data. For example, the storage unit 330 may store an orientation detection module, a circumference correction module, a respiration detection module, an obesity determination module, a metabolic syndrome judgment module, and the like. Also, the storage unit 330 may construct a waist circumference database to systematically manage the user's waist circumference information. In addition, the storage unit 330 may store a tension-based standard table, human body modeling information, and the like.
The method according to one embodiment may be implemented in the form of program instructions that may be executed through various computer means and recorded on a computer readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions recorded on the medium may be those specially designed and configured for the present invention or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like.
According to one embodiment, since the smart belt 100 determines whether or not to measure the waist circumference according to the movement state of the user, it is possible to measure the waist circumference of the user in a position suitable for measuring the waist circumference. Also, since the smart belt 100 corrects the measured waist circumference based on the tension information of the smart belt 100, accurate waist circumference information can be provided to the user.
While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, It belongs to the scope of right.
