CN114253405A - Wearing detection method and device, wearable device and storage medium - Google Patents

Wearing detection method and device, wearable device and storage medium Download PDF

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CN114253405A
CN114253405A CN202011005161.1A CN202011005161A CN114253405A CN 114253405 A CN114253405 A CN 114253405A CN 202011005161 A CN202011005161 A CN 202011005161A CN 114253405 A CN114253405 A CN 114253405A
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wearable device
state
acceleration
mode
data
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赵然
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Oppo Chongqing Intelligent Technology Co Ltd
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Oppo Chongqing Intelligent Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/03Arrangements for converting the position or the displacement of a member into a coded form
    • G06F3/033Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor
    • G06F3/0346Pointing devices displaced or positioned by the user, e.g. mice, trackballs, pens or joysticks; Accessories therefor with detection of the device orientation or free movement in a 3D space, e.g. 3D mice, 6-DOF [six degrees of freedom] pointers using gyroscopes, accelerometers or tilt-sensors
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C9/00Measuring inclination, e.g. by clinometers, by levels
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01PMEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P15/00Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration
    • G01P15/18Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration in two or more dimensions
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/02Measuring direction or magnitude of magnetic fields or magnetic flux
    • G01R33/0206Three-component magnetometers
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V3/00Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/16Constructional details or arrangements
    • G06F1/1613Constructional details or arrangements for portable computers
    • G06F1/163Wearable computers, e.g. on a belt

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Remote Sensing (AREA)
  • Computer Hardware Design (AREA)
  • Human Computer Interaction (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Condensed Matter Physics & Semiconductors (AREA)
  • Environmental & Geological Engineering (AREA)
  • Geology (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Geophysics (AREA)
  • User Interface Of Digital Computer (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The application discloses a wearing detection method, a wearing detection device, wearable equipment and a storage medium, wherein the wearing detection method is applied to the wearable equipment and comprises the following steps: acquiring inertial data detected when the wearable device is worn; obtaining the state of the wearable equipment according to the inertial data; when the state of the wearable equipment is a motion state or a vertical hand rest state, acquiring first acceleration data; and obtaining a target acceleration along a set direction according to the first acceleration data, and determining a current wearing mode of the wearable device according to the target acceleration along the set direction, wherein the current wearing mode comprises a left-hand mode or a right-hand mode. The method can realize that the wearable device can quickly and conveniently detect whether the current wearing mode is the left-hand mode or the right-hand mode when being worn.

Description

Wearing detection method and device, wearable device and storage medium
Technical Field
The present application relates to the field of wearable device technologies, and in particular, to a wearing detection method and apparatus, a wearable device, and a storage medium.
Background
With the development of scientific technology, wearable devices (such as smart watches, smart bracelets and the like) are widely used and have more and more functions, and the wearable devices become one of the necessary devices in daily life of people. Currently, a wearable device is usually worn on the left hand or the right hand of a user, but when the wearable device is worn, it is usually impossible to detect whether the wearing mode is the left-hand mode or the right-hand mode when the wearable device is worn.
Disclosure of Invention
In view of the above problems, the present application provides a wearing detection method, an apparatus, a wearable device, and a storage medium.
In a first aspect, an embodiment of the present application provides a wearing detection method, where the method includes: acquiring inertial data detected when the wearable device is worn; obtaining the state of the wearable equipment according to the inertial data; when the state of the wearable equipment is a motion state or a vertical hand rest state, acquiring first acceleration data; and obtaining a target acceleration along a set direction according to the first acceleration data, and determining a current wearing mode of the wearable device according to the target acceleration along the set direction, wherein the current wearing mode comprises a left-hand mode or a right-hand mode.
In a second aspect, an embodiment of the present application provides a wear detection apparatus, including: the wearable device comprises an inertial data acquisition module, a state acquisition module, an acceleration data acquisition module and a wearing detection module, wherein the inertial data acquisition module is used for acquiring inertial data detected when the wearable device is worn; the state obtaining module is used for obtaining the state of the wearable equipment according to the inertial data; the acceleration data acquisition module is used for acquiring first acceleration data when the state of the wearable device is a motion state or a vertical hand rest state; the wearing detection module is used for obtaining a target acceleration along a set direction according to the first acceleration data, and determining a current wearing mode of the wearable device according to the target acceleration along the set direction, wherein the current wearing mode comprises a left-hand mode or a right-hand mode.
In a third aspect, an embodiment of the present application provides a wearable device, including: an inertial sensor for detecting inertial data; one or more processors; a memory; one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to perform the wear detection method provided by the first aspect above.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where a program code is stored in the computer-readable storage medium, and the program code may be called by a processor to execute the wear detection method provided in the first aspect.
According to the scheme, the inertial data detected when the wearable device is worn are obtained, the state of the wearable device is obtained according to the inertial data, when the state of the wearable device is a motion state or a vertical hand rest state, the first acceleration data are obtained, the target acceleration in the set direction is obtained according to the first acceleration data, the current wearing mode of the wearable device is determined according to the target acceleration in the set direction, and the current wearing mode comprises a left-hand mode or a right-hand mode. The wearable device can be determined to be in a left-hand mode or a right-hand mode according to the acceleration value of the acquired first acceleration data in the target direction when the wearable device is worn and the state of the wearable device is in a motion state or a vertical hand rest state, so that a user does not need to set a wearing mode in the using process, the user does not need to execute specified operation in the detection process, the wearable device can be detected in the running state and the vertical hand rest state, the current wearing mode can be rapidly and conveniently detected to be in the left-hand mode or the right-hand mode, and the user experience can be improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 shows a flow chart of a wear detection method according to an embodiment of the present application.
Fig. 2 shows a schematic diagram of measuring spatial coordinates of a wearable device provided in an embodiment of the present application.
Fig. 3 shows a schematic diagram of measurement space coordinates of a wearable device provided by the embodiment of the present application when the wearable device is worn in a left hand and a right hand in a motion state.
Fig. 4 shows a schematic diagram of measurement space coordinates of a wearable device provided by the embodiment of the present application when the wearable device is worn on the right hand in a vertical hand resting state.
Fig. 5 shows a schematic diagram of the measurement space coordinates of the wearable device provided by the embodiment of the present application when the wearable device is worn on the left hand in a vertical hand resting state.
Fig. 6 shows a flowchart of a wear detection method according to yet another embodiment of the present application.
Fig. 7 shows a flowchart of a wear detection method according to yet another embodiment of the present application.
Fig. 8 shows an interface schematic diagram provided in an embodiment of the present application.
Fig. 9 shows a flowchart of a wear detection method according to yet another embodiment of the present application.
FIG. 10 shows a block diagram of a wear detection device according to one embodiment of the present application.
Fig. 11 is a block diagram of a wearable device for executing a wear detection method according to an embodiment of the present application.
Fig. 12 is a storage unit for storing or carrying program codes for implementing a wear detection method according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
At present, wearable devices (such as smart watches, smart bracelets, portable heart rate detectors, and the like) are popular in the market, and taking the wearable devices as the smart watches or the smart bracelets, the smart watches or the smart bracelets are electronic devices which are multifunctional and are built in an intelligent system, carry a smart phone system and are connected with a network, and have the functions of step counting, detecting physiological parameters (such as parameters of blood pressure, heart rate, blood oxygen, respiratory rate, sleep state, and the like) of a user, receiving and calling, sending and receiving short messages, taking pictures, and the like. Because the functions are complete and the carrying is very easy, the multifunctional portable electric toothbrush is widely favored by consumers.
The wearable device is generally provided with a display screen and a detection device, wherein the display screen is used for displaying information, and when the display screen is a touch screen, the display screen is also used for receiving touch operation of a user and the like; a detection device for detecting a physiological parameter of the user and an environmental parameter of the external environment.
The wearable device is usually worn on the wrist or elbow of the user, and the wearable device usually requires the user to set the wearing mode corresponding to the wearing hand used by the user during the initialization process (when the wearable device is started or reset), for example, when the user is usually used to wear the wearable device on the left hand, the wearing mode is set as the left-hand mode, and when the user is used to wear the wearable device on the right hand, the wearing mode is set as the right-hand mode, but in some situations, the user may change the wearable device to be worn by the other hand (not the used wearing hand), and the user may not actively change the wearing mode when the wearable device is changed to be worn by the other hand, and thus, the wearing mode may not be consistent with the preset wearing mode and the actual wearing mode, and the accuracy of the function of the wearable device may be affected, for example, the accuracy of measuring blood pressure, and the like may be affected, Accuracy of functions such as blood oxygen.
In view of the above problems, the inventors have found through long-term research and provide a wearing detection method, an apparatus, a wearable device, and a storage medium provided in the embodiments of the present application, where when the wearable device is worn and the state of the wearable device is a motion state or a vertical hand rest state, the current wearing mode of the wearable device is determined to be a left-hand mode or a right-hand mode according to an acceleration value of the acquired first acceleration data in the target direction, so as to avoid a situation that the wearing mode of the wearable device in the using process is inconsistent with a preset wearing mode, thereby improving the accuracy of the function of the wearable device. The specific wearing detection method is explained in detail in the following embodiments.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a wear detection method according to an embodiment of the present application. The wearing detection method is used for determining the state of the wearable device according to inertial data detected when the wearable device is worn, obtaining target acceleration along a set direction according to the first acceleration when the state of the wearable device is a motion state or a vertical hand rest state, and determining that the current wearing mode of the wearable device is a left-hand mode or a right-hand mode according to the target acceleration in the set direction. The following will take the wearable device as an example to describe a specific process of the present embodiment, and it can be understood that the wearable device applied in the present embodiment may be a bracelet, a watch, and the like, which is not limited herein. The following will describe the flow shown in fig. 1 in detail, wherein in this embodiment, the wearing detection method may specifically include the following steps:
step S110: inertial data detected while the wearable device is worn is obtained.
In this application embodiment, the wearable device being worn means that the wearable device is worn on the left or right hand of the user. The inertial data may include one or more of acceleration data, magnetic sensing data, and angular velocity data.
The above manner of acquiring the inertial data may be to acquire the inertial data detected by an inertial sensor provided inside the wearable device, where the inertial sensor may include at least one of a three-axis magnetic sensor, a three-axis acceleration sensor, and a three-axis gyroscope.
In the present embodiment, when the wearable device includes at least one of the inertial sensor including a three-axis magnetic sensor, a three-axis acceleration sensor, and a three-axis gyroscope, the inertial data detected by the inertial sensor has detection data in three directions along the measurement space coordinate, and the detection data in each direction is at least one.
In some embodiments, when the inertial sensors comprise three-axis acceleration sensors, the corresponding obtained acceleration data comprises x-axis acceleration, y-axis acceleration, z-axis acceleration at measurement space coordinates of the wearable device; when the inertial sensor comprises a three-axis gyroscope, the angular velocity data correspondingly obtained comprises an x-axis angular velocity, a y-axis angular velocity and a z-axis angular velocity under the measurement space coordinate; when the inertial sensor comprises a three-axis magnetic sensor, the correspondingly obtained magnetic sensing number comprises an x-axis magnetic field strength, a y-axis magnetic field strength and a z-axis magnetic field strength under the measurement space coordinate. The x-axis, y-axis, and z-axis are determined according to the relative positions of the inertial sensors when the inertial sensors are mounted on the wearable device. It should be understood that when the inertial sensor includes at least two of the three-axis acceleration sensor, the three-axis gyroscope, and the three-axis magnetic sensor, the detection data in each direction along the measurement space coordinate is also at least two.
As shown in fig. 2, in this embodiment, when the wearable device is a smart watch or a smart bracelet, and the upper surface of the chip of the inertial sensor is parallel to the display screen of the smart watch, the x-axis in the measurement space coordinate of the wearable device may be in the width direction of the wearable device, the z-axis in the measurement space coordinate may be in the vertical direction perpendicular to the display screen of the wearable device, and the y-axis in the measurement space coordinate may be in the longitudinal direction perpendicular to the width direction and the vertical direction (when the wearable device is a watch or a bracelet, the y-axis in the measurement space coordinate is in the length direction when the wearable device is unfolded).
Step S120: and obtaining the state of the wearable equipment according to the inertial data.
In this example, the state of the wearable device may include: a motion state and a rest state, and the rest state includes a hand drop rest state. The motion state is used for representing that when the wearable device is worn on a user, the user is in a motion state such as walking and running, and the wearable device is in the motion state; the standing-hand rest state is used for representing that when the wearable device is worn on the left hand or the right hand of a user, the state of the hand of the user wearing the wearable device is a rest standing-hand state, such as a rest standing-hand state or a rest sitting-lying-hand state.
The obtaining of the state of the wearable device according to the inertial data may be determining that the wearable device is in a stationary state or a moving state according to one or more of acceleration data, magnetic sensing data, and angular velocity data in the inertial data, and determining that the wearable device is in a overhand stationary state according to at least two of the acceleration data, the magnetic sensing data, and the angular velocity data when the wearable device is in the stationary state.
In some embodiments, when the inertial data includes a plurality of sets of acceleration data, determining a state of the wearable device according to accelerations of the plurality of sets of acceleration data in three directions, respectively, wherein when a variance or a standard deviation of acceleration values of the plurality of sets of acceleration data in each direction is smaller than a corresponding preset threshold value, or the accelerations of the plurality of sets of acceleration data in each direction are within a corresponding preset acceleration value range, it may be determined that the wearable device is in a stationary state; when the inertial data comprise multiple groups of magnetic sensing data, determining the state of the wearable device according to the magnetic field strengths of the multiple groups of magnetic sensing data in three directions respectively, wherein when the variance or standard difference of the magnetic field strengths of the multiple groups of magnetic sensing data in each direction is smaller than a corresponding preset threshold value respectively, or the magnetic field strengths of the multiple groups of magnetic sensing data in each direction are in a corresponding preset strength value range respectively, determining that the wearable device is in a static state; when the inertial data include multiple sets of angular velocity data, determining the state of the wearable device according to the angular velocities of the multiple sets of angular velocity data in the three directions, wherein when the variance or standard difference of the angular velocities of the multiple sets of angular velocity data in each direction is smaller than a corresponding preset threshold value, or the angular velocities of the multiple sets of angular velocity data in each direction are within a corresponding preset angular velocity value range, it may be determined that the wearable device is in a stationary state.
Referring to fig. 3, fig. 4 and fig. 5, the inertia data is exemplified by a plurality of sets of acceleration data, as shown in fig. 3, since the wearable device swings with the right hand 10 or the left hand 20 of the user when the wearable device is in a motion state (i.e., the user wearing the wearable device is in the motion state), the acceleration data acquired by the wearable device has accelerations in three directions (x direction, y direction and z direction), and the acceleration in each direction changes with time, so that the acceleration values of the obtained plurality of sets of acceleration data in the three directions may be different. When the wearable band device is worn in the left hand (as shown in fig. 4) and in the right hand (as shown in fig. 5) in the stationary state, the plurality of sets of acceleration data acquired in the above two states are the same and include the acceleration in the direction of gravity. The variance or standard deviation of the multiple groups of acceleration data can be obtained by calculating the variance or standard deviation of the acceleration in each direction, when the variance or standard deviation of the multiple groups of acceleration data is larger than or equal to the corresponding preset threshold value, the wearable device can be determined to be in a motion state, and when the variance or standard deviation of the multiple groups of acceleration data is smaller than the corresponding preset threshold value, the wearable device can be determined to be in a static state.
When the wearable device is in the stationary state and whether the wearable device is in the stationary state of the vertical hand is determined, the attitude angle of the wearable device can be calculated according to the magnetic sensing data and the acceleration data included in the inertial data, and when the attitude angle is within the preset attitude angle threshold range, the wearable device can be confirmed to be in the stationary state of the vertical hand.
Specifically, when the wearable device is in a standing still state, the direction pointed by the acceleration data is always the same as or opposite to the gravity, the direction pointed by the magnetic sensing data is always pointed to the south, the attitude angle of the wearable device can be obtained by calculating according to the acceleration data and the magnetic sensing data by adopting a Kalman filtering algorithm, and when the attitude angle is within a preset threshold range, the wearable device can be confirmed to be in the standing still state.
Step S130: when the state of the wearable device is a motion state or a vertical hand rest state, first acceleration data is acquired.
The first acceleration data may be acceleration data in the inertial data, or triaxial acceleration data detected by a triaxial acceleration sensor included in the inertial sensor, which is obtained after determining the state of the wearable device according to the inertial data.
In this embodiment, the first acceleration data includes accelerations in three directions, and the three directions corresponding to the first acceleration data are the same as the three directions corresponding to the acceleration data included in the inertia data. That is, in the present embodiment, the accelerations of the first acceleration data in the three directions include a wide acceleration in a width direction (in the x-axis direction) of the wearable device, a vertical acceleration value in a vertical direction (in the z-axis direction) perpendicular to the display screen of the wearable device, and a long acceleration value in a long direction (in the y-axis direction) perpendicular to the vertical direction and the width direction as in fig. 2.
The acquired first acceleration data may include only one set of acceleration data, or may include a plurality of sets of acceleration data. For example, when the state of the wearable device is a stationary state, the acquired first acceleration data may include one set of acceleration data, and when the state of the wearable device is a motion state, multiple sets of acceleration data, such as at least two sets of acceleration data, may be acquired.
Step S140: and obtaining a target acceleration along a set direction according to the first acceleration data, and determining a current wearing mode of the wearable device according to the target acceleration along the set direction, wherein the current wearing mode comprises a left-hand mode or a right-hand mode.
In some embodiments, the setting direction may be along the width direction of the wearable device, or may be a direction having an angle within a preset angle range with the width direction, for example, the setting direction may be any direction having an angle within a range of less than or equal to 30 degrees with the width direction.
When the target acceleration in the set direction is obtained from the first acceleration data, the accelerations of the first acceleration data in the three directions may be respectively converted into the directions along the set direction to obtain the target acceleration in the set direction.
In some embodiments, the wearable device may store a preset acceleration value range corresponding to the left-hand mode and the left-hand mode in the target direction, and an acceleration value range corresponding to the right-hand mode and the right-hand mode in the target direction, so that the current wearing mode of the wearable device may be determined to be the left-hand mode or the right-hand mode, that is, the wearable device is worn in the left hand or the right hand of the user, by using the correspondence relationship and the obtained target acceleration in the set direction.
Taking the setting direction as an example along the width direction of the wearable device, when the wearable device is in the same motion state or static state, the target acceleration values in the setting direction obtained in the left-hand mode and the right-hand mode respectively are opposite, as shown in fig. 4, when the wearable device is in the vertical-hand static state and the wearing mode is the left-hand mode, the target acceleration value in the setting direction (x-axis direction in the measurement space coordinate) is opposite to the gravity acceleration, and is-g; as shown in fig. 5, when the wearable device is in the vertical hand rest state and the wearing mode is the right-hand mode, the target acceleration value in the set direction (x-axis direction in the measurement space coordinate) is the gravitational acceleration g.
According to the wearing detection method provided by the embodiment, when the wearable device is worn and the state of the wearable device is a motion state or a vertical hand rest state, the current wearing mode of the wearable device is determined to be the left-hand mode or the right-hand mode according to the acceleration value of the acquired first acceleration data in the target direction. In addition, when the current wearing mode of detecting wearable equipment is left hand mode or right hand mode, be in operating condition and hang hand quiescent condition at wearable equipment and all can detect, consequently, very big improvement the convenience that wearable equipment state detected and need not user operation and then can promote user experience, in the testing process, only need obtain a set of or multiunit first acceleration data for the testing process of wearing the detection method is efficient.
In some embodiments, after the current wearing mode of the wearable device is determined, when the pre-stored wearing mode is inconsistent with the current wearing mode, the pre-stored wearing mode is adjusted to the current wearing mode, so that the condition that data detection such as blood pressure and blood oxygen is inaccurate due to the inconsistency between the pre-stored wearing mode and the current wearing mode can be relieved, and the accuracy of the functions of the wearable device is improved.
Referring to fig. 6, fig. 6 is a schematic flow chart illustrating a wear detection method according to another embodiment of the present application. The wearing detection method is applied to the wearable device, and will be described in detail with respect to the flow shown in fig. 6, and the wearing detection method may specifically include the following steps:
step S210: inertial data detected while the wearable device is worn is obtained.
In the embodiment of the present application, step S210 may refer to the contents of the foregoing embodiments, which are not described herein again.
Step S220: and obtaining the state of the wearable equipment according to the inertial data.
In the embodiment of the present application, the step S220 may refer to the contents of the foregoing embodiments, and is not described herein again.
Step S230: when the state of the wearable device is a motion state or a vertical hand rest state, first acceleration data is acquired.
In the embodiment of the present application, the step S220 may refer to the contents of the foregoing embodiments, and is not described herein again.
Step S240: and respectively converting the accelerations in the three directions in the first acceleration data into the set directions to obtain target accelerations in the set directions.
When the wearable device is in a motion state, in order to ensure the reliability of the obtained target acceleration in the set direction, the first acceleration data comprises at least two sets of acceleration data, and when the wearable device is in a vertical hand rest state, the acceleration values of the wearable device in all directions do not change, so that the first acceleration data can comprise at least one set of acceleration data.
When the acquired first acceleration data includes at least two sets of first acceleration data, in the step S240, an average value of at least two accelerations belonging to the same direction in the at least two sets of first acceleration data is respectively obtained to obtain an average acceleration along each of three directions; and respectively converting the average acceleration along each direction in the three directions into the set direction to obtain the target acceleration along the set direction.
In some embodiments, the accelerations in the three directions include a width-direction acceleration in a width direction of the wearable device, a vertical acceleration value in a vertical direction perpendicular to a display screen of the wearable device, and a length-direction acceleration value in a length direction perpendicular to the vertical direction and the width direction, and the set direction is in the width direction of the wearable device or a direction having an angle with the width direction within a preset angle threshold range.
Referring to fig. 3, 4 and 5 again, in the step S240, the acceleration of the wearable device in three directions is expressed in the measurement space coordinates of the wearable device, so as to obtain the acceleration in the x-axis direction (the wide-direction acceleration in the width direction), the acceleration in the z-axis direction (the vertical-direction acceleration perpendicular to the display screen of the wearable device), and the acceleration in the y-axis direction (the long-direction acceleration perpendicular to the wide-direction and the vertical-direction) and convert the accelerations in the x-axis direction, the y-axis direction and the z-axis direction to the setting directions, respectively, so as to obtain the acceleration value in the setting direction. When the set direction is the positive x-axis direction, the current wearing mode of the wearable device is a right-hand mode and is in a motion state or a vertical-hand static state, and the positive x-axis direction swings left and right in the gravity direction or is the same as the gravity direction, so that the calculated acceleration in the set direction approaches to the gravity acceleration g; the current wearing mode of the wearable device is the left-hand mode and the positive x-axis direction swings left and right in the direction opposite to the direction of gravity or opposite to the direction of gravity in the moving state or the vertically stationary state, and therefore the acceleration in the calculated set direction approaches-g.
Step S250: and searching a wearing mode corresponding to the target acceleration from a preset acceleration and wearing mode relation table to serve as the current wearing mode, wherein the wearing mode relation table comprises a left-hand mode and an acceleration value range corresponding to the left-hand mode, and a right-hand mode and an acceleration value range corresponding to the right-hand mode.
In some embodiments, when the setting direction is the positive x-axis direction, the range of acceleration values corresponding to the preset acceleration and the right-hand pattern stored in the wearing pattern relation table may be 5m/s2To 15m/s2May be 3m/s2To 15m/s2The acceleration value range corresponding to the left-hand mode may be-15 m/s2To-5 m/s2It may be-15 m/s2To-3 m/s2
The wearable device can be determined to be in a left-hand mode or a right-hand mode according to the current wearing mode corresponding to the range of the target acceleration.
According to the wearing detection method provided by the embodiment of the application, when the wearable device is worn and the state of the wearable device is a motion state or a vertical hand rest state, the current wearing mode of the wearable device is determined to be a left-hand mode or a right-hand mode according to the acceleration value of the acquired first acceleration data in the target direction. In addition, when the current wearing mode of detecting wearable equipment is left hand mode or right hand mode, be in operating condition and hang hand quiescent condition at wearable equipment and all can detect, consequently, very big improvement the convenience that wearable equipment state detected and need not user operation and then can promote user experience, in the testing process, only need obtain a set of or multiunit first acceleration data for the testing process of wearing the detection method is efficient.
Referring to fig. 7, fig. 7 is a schematic flow chart illustrating a wear detection method according to another embodiment of the present application. The wearing detection method is applied to the wearable device, and will be described in detail with respect to the flow shown in fig. 7, and the wearing detection method may specifically include the following steps:
step S310: inertial data detected while the wearable device is worn is obtained.
Step S320: and obtaining the state of the wearable equipment according to the inertial data.
Step S330: when the state of the wearable device is a motion state or a vertical hand rest state, first acceleration data is acquired.
Step S340: and obtaining a target acceleration along a set direction according to the first acceleration data, and determining a current wearing mode of the wearable device according to the target acceleration along the set direction, wherein the current wearing mode comprises a left-hand mode or a right-hand mode.
In the embodiment of the present application, steps S310 to S340 may refer to the contents of the foregoing embodiments, and are not described herein again.
Step S350: and acquiring a prestored wearing mode.
The pre-stored wearing mode is a wearing mode pre-stored in the wearable device, and the wearing mode may be a mode corresponding to a wearing hand that the wearable device usually requires a user to set for using during initialization of the device (when the wearable device is started or reset), or a mode corresponding to a wearing hand that the user sets during use. For example, when the user is generally accustomed to wearing in the left hand, the corresponding wearing mode is set to the left-hand mode, and when the user is accustomed to wearing in the right hand, the corresponding wearing mode is set to the right-hand mode.
Step S360: and when the pre-stored wearing mode is inconsistent with the current wearing mode, generating prompt information.
In the middle, when the pre-stored wearing mode is inconsistent with the current wearing mode, namely, when the pre-stored wearing mode is a left-hand mode, the current wearing mode is a right-hand mode; or the pre-stored wearing mode is a right-hand mode, and the current wearing mode is a left-hand mode.
In some embodiments, the generated prompt message may be a prompt message prompting that the current wearing mode of the user is inconsistent with a pre-stored wearing mode, may also be a prompt message including the current wearing mode and the pre-stored wearing mode, and may also be a prompt message generating a prompt message including the current wearing mode, the pre-stored wearing mode, and a switching operation control. For example, the generated prompt message includes: "detect whether the current wearing mode is different from the preset right-hand mode (left-hand mode) and switched from the left-hand mode (right-hand mode)? "
In some embodiments, the generated prompting message may be displayed on the display screen 130 of the wearable device in a manner as shown in fig. 8, so as to prompt the user; or the voice module is used for outputting the prompt information to prompt the user; the prompt information can also be sent to a terminal device (such as a mobile phone or a computer and other terminals) associated with the wearable band device to prompt the user.
Step S370: and when an adjusting instruction based on prompt information feedback is received, adjusting the pre-stored wearing mode to the current wearing mode.
The manner of receiving the adjustment instruction based on the prompt information feedback may be that the voice information which is recognized by the voice module and fed back by the user based on the prompt information is received, so that the obtained voice information includes the adjustment instruction; or receiving an adjusting instruction based on prompt information feedback sent by the terminal equipment; and obtaining an adjusting instruction corresponding to the control, which is obtained by triggering the control by the user based on the prompt information.
It should be understood that, in some embodiments, the pre-stored wearing mode may also be adjusted to the current wearing mode when the pre-stored wearing mode is not consistent with the current wearing mode. The wearing mode is automatically switched without the operation of a user.
According to the wearing detection method provided by the embodiment, when the wearable device is worn and the state of the wearable device is a motion state or a vertical hand rest state, the current wearing mode of the wearable device is determined to be the left-hand mode or the right-hand mode according to the acceleration value of the acquired first acceleration data in the target direction. In addition, when the current wearing mode of detecting wearable equipment is left hand mode or right hand mode, be in operating condition and hang hand quiescent condition at wearable equipment and all can detect, consequently, very big improvement the convenience that wearable equipment state detected and need not user operation and then can promote user experience, in the testing process, only need obtain a set of or multiunit first acceleration data for the testing process of wearing the detection method is efficient. When the current wearing mode of the wearable device is determined to be inconsistent with the pre-stored wearing mode, the pre-stored wearing mode is adjusted to be the current wearing mode, the condition that data detection such as blood pressure and blood oxygen is inaccurate due to the fact that the pre-stored wearing mode is inconsistent with the current wearing mode can be relieved, and therefore the accuracy of functions of the wearable device is improved.
Referring to fig. 9, fig. 9 is a schematic flow chart illustrating a wear detection method according to still another embodiment of the present application. The wearing detection method is applied to the wearable device, and will be described in detail with respect to the flow shown in fig. 9, and the wearing detection method may specifically include the following steps:
step S410: detecting a wearing state of the wearable device, wherein the wearing state comprises a worn state and an unworn state.
The wearable state of the wearable device can be detected by acquiring parameters detected by an optical detector or a distance sensor arranged in the wearable device, and determining whether the wearable device is worn according to the parameters, preset parameters and a wearing relation; or acquiring a capacitance value or an output charge amount of a capacitance sensor in the wearable device, and determining whether the wearable device is worn according to the capacitance value or the output charge amount.
In one embodiment, the wearable device is provided with a distance sensor for detecting the current wearing state of the wearable device, and the method comprises the following steps:
and acquiring the distance detected by the distance sensor, and determining that the current wearing state of the wearable device is a worn state when the distance is smaller than a preset distance threshold.
The distance sensor can be an infrared sensor and is arranged on one side, away from the display screen of the wearable device, of the shell of the wearable device. The preset distance is a maximum distance between the infrared sensor and a wearing part of the human body when the wearable device is worn, and may be 5 mm or 3 mm, which is not specifically limited herein.
In another embodiment, a metal is disposed on a housing of the wearable device, and the metal can form a capacitor when worn, and detect a current wearing state of the wearable device, including:
acquiring the charge number output by the capacitor; when the charge number reaches a preset threshold value, determining that the current wearing state of the wearable device is a worn state.
When the wearable device is worn, the metal and the part of the human body wearing part form a capacitor. The preset threshold is used for representing the number of electric charges output when the distance between the metal and the human body wearing part is the maximum when the wearable equipment is worn.
Step S420: inertial data detected while the wearable device is worn is obtained.
Step S430: and obtaining the state of the wearable equipment according to the inertial data.
Step S440: when the state of the wearable device is a motion state or a vertical hand rest state, first acceleration data is acquired.
Step S450: and obtaining a target acceleration along a set direction according to the first acceleration data, and determining a current wearing mode of the wearable device according to the target acceleration along the set direction, wherein the current wearing mode comprises a left-hand mode or a right-hand mode.
In the embodiment of the present application, steps S420 to S450 may refer to the contents of the foregoing embodiments, and are not described herein again.
According to the wearing detection method provided by the embodiment, when the wearable device is worn and the state of the wearable device is a motion state or a vertical hand rest state, the current wearing mode of the wearable device is determined to be the left-hand mode or the right-hand mode according to the acceleration value of the acquired first acceleration data in the target direction. In addition, when the current wearing mode of detecting wearable equipment is left hand mode or right hand mode, be in operating condition and hang hand quiescent condition at wearable equipment and all can detect, consequently, very big improvement the convenience that wearable equipment state detected and need not user operation and then can promote user experience, in the testing process, only need obtain a set of or multiunit first acceleration data for the testing process of wearing the detection method is efficient.
Referring to fig. 10, a block diagram of a wear detection apparatus 400 according to an embodiment of the present disclosure is shown. The wearable device is applied to the wearable device 400, and the wearable device 400 includes: an inertial data acquisition module 410, a state acquisition module 420, an acceleration data acquisition module 430, and a wear detection module 440. Wherein the inertial data acquisition module 410 is configured to acquire inertial data detected when the wearable device is worn; the state obtaining module 420 is configured to obtain a state of the wearable device according to the inertial data; the acceleration data acquiring module 430 is configured to acquire first acceleration data when the state of the wearable device is a motion state or a vertical hand rest state; the wearing detection module 440 is configured to obtain a target acceleration in a set direction according to the first acceleration data, and determine a current wearing mode of the wearable device according to the target acceleration in the set direction, where the current wearing mode includes a left-hand mode or a right-hand mode.
In some embodiments, the state obtaining module 420 includes a first state determining unit and a second state determining unit.
When the inertial data include multiple sets of second acceleration data and multiple sets of magnetic sensor data acquired within a preset time, the first state determining unit is configured to obtain a state value according to the multiple sets of second acceleration data, determine that the wearable device is in a stationary state when the state value is smaller than a preset state threshold, and determine that the wearable device is in a moving state when the state value is not smaller than the preset state threshold, where the state value is a variance or a standard deviation of the multiple sets of second acceleration data; the second state determination unit is used for obtaining the attitude angle of the wearable device according to the multiple sets of magnetic sensing data and the multiple sets of second acceleration data when the wearable device is in a static state, and determining that the wearable device is in a vertical hand static state when the attitude angle of the wearable device is within a preset attitude angle range.
In some embodiments, the wear detection module 440 includes an acceleration obtaining unit and a wear mode determining unit. When the first acceleration data is triaxial acceleration data and has accelerations in three directions, the acceleration obtaining unit is configured to convert the accelerations in the three directions in the first acceleration data into the set directions respectively, so as to obtain target accelerations in the set directions; the wearing mode determining unit is used for searching a wearing mode corresponding to the target acceleration from a preset acceleration and wearing mode relation table as the current wearing mode, and the wearing mode relation table comprises a left-hand mode and an acceleration value range corresponding to the left-hand mode, and a right-hand mode and an acceleration value range corresponding to the right-hand mode.
In some embodiments, when the acquired first acceleration data includes at least two sets of first acceleration data, the acceleration obtaining unit is further configured to respectively average at least two accelerations belonging to the same direction in the at least two sets of first acceleration data, so as to obtain an average acceleration along each of three directions; and respectively converting the average acceleration along each direction in the three directions into the set direction to obtain the target acceleration along the set direction.
In some embodiments, the wearing detection apparatus 400 further includes a wearing mode acquisition module, a prompt module, and a mode adjustment module. The wearing mode acquisition module is used for acquiring a pre-stored wearing mode; the prompting module is used for generating prompting information when the pre-stored wearing mode is inconsistent with the current wearing mode; the mode adjusting module is used for adjusting the pre-stored wearing mode to the current wearing mode when receiving an adjusting instruction based on prompt information feedback.
In some embodiments, the wearing detection apparatus 400 further includes a detection module for detecting a wearing state of the wearable device, where the wearing state includes a worn state and an unworn state. After the detection module detects that the wearable device is worn, the inertial data acquisition module 410 is configured to acquire inertial data detected when the wearable device is worn.
In some embodiments, when the wearable device is provided with a distance sensor, the detection module is configured to acquire a distance detected by the distance sensor, and determine that the current wearing state of the wearable device is a worn state when the distance is smaller than a preset distance threshold.
In some embodiments, when a metal is disposed on the housing of the wearable device, the metal can form a capacitor when worn, and the detection module is configured to obtain an amount of charge output by the capacitor; and when the charge number reaches a preset threshold value, determining that the current wearing state of the wearable device is a worn state.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and modules may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, the coupling between the modules may be electrical, mechanical or other type of coupling.
In addition, functional modules in the embodiments of the present application may be integrated into one processing module, or each of the modules may exist alone physically, or two or more modules are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
To sum up, according to the scheme provided by the application, when the wearable device is worn and the state of the wearable device is a motion state or a vertical hand rest state, the current wearing mode of the wearable device is determined to be the left-hand mode or the right-hand mode according to the acceleration value of the acquired first acceleration data in the target direction. In addition, when the current wearing mode of detecting wearable equipment is left hand mode or right hand mode, be in operating condition and hang hand quiescent condition at wearable equipment and all can detect, consequently, very big improvement the convenience that wearable equipment state detected and need not user operation and then can promote user experience, in the testing process, only need obtain a set of or multiunit first acceleration data for the testing process of wearing the detection method is efficient. In addition, after the current wearing mode of the wearable device is determined, when the pre-stored wearing mode is inconsistent with the current wearing mode, the pre-stored wearing mode is adjusted to the current wearing mode, and the condition that the detection of data such as blood pressure and blood oxygen is inaccurate due to the fact that the pre-stored wearing mode is inconsistent with the current wearing mode can be relieved, so that the accuracy of the functions of the wearable device is improved.
Referring to fig. 11, a block diagram of a wearable device 100 according to an embodiment of the present disclosure is shown. The wearable device 100 may be an electronic device capable of running an application, such as a smart watch, a smart bracelet, or the like. The wearable device 100 in the present application may include one or more of the following components: a processor 110, a memory 120, a display 130, an inertial sensor 140, and one or more applications, wherein the one or more applications may be stored in the memory 120 and configured to be executed by the one or more processors 110, the one or more programs configured to perform a method as described in the aforementioned method embodiments.
Processor 110 may include one or more processing cores, among other things. The processor 110 connects various parts throughout the wearable device 100 using various interfaces and wires, and performs various functions of the wearable device 100 and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 120, and invoking data stored in the memory 120. Alternatively, the processor 110 may be implemented in hardware using at least one of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 110 may integrate one or more of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content to be displayed; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the processor 110, but may be implemented by a communication chip.
The Memory 120 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). The memory 120 may be used to store instructions, programs, code sets, or instruction sets. The memory 120 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for implementing at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing various method embodiments described below, and the like. The storage data area may also store data created by the wearable device 100 in use (such as phone books, audio-video data, chat log data), and the like.
The Display 130 is used for displaying information input by a user, information provided to the user, and various graphical user interfaces of the wearable device 100, which may be composed of graphics, text, icons, numbers, video, and any combination thereof, and in one example, the Display 130 may be a Liquid Crystal Display (LCD) or an Organic Light-Emitting Diode (OLED), which is not limited herein.
The inertial sensor 140 may include at least one of a gyroscope, which is a three-axis gyroscope for detecting three-axis angular velocities, an acceleration sensor, and a magnetic sensor. The acceleration transmission rod is a three-axis acceleration sensor and is used for detecting three-axis acceleration. The magnetic sensor is a three-axis magnetic sensor and is used for detecting the strength of a three-axis magnetic field.
Referring to fig. 12, a block diagram of a computer-readable storage medium according to an embodiment of the present application is shown. The computer-readable medium 500 has stored therein a program code that can be called by a processor to execute the method described in the above-described method embodiments.
The computer-readable storage medium 500 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. Alternatively, the computer-readable storage medium 500 includes a non-volatile computer-readable storage medium. The computer readable storage medium 500 has storage space for program code 510 for performing any of the method steps of the method described above. The program code can be read from or written to one or more computer program products. The program code may be compressed in a suitable form.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not necessarily depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims (12)

1. A wear detection method, characterized in that the method comprises:
acquiring inertial data detected when the wearable device is worn;
obtaining the state of the wearable equipment according to the inertial data;
when the state of the wearable equipment is a motion state or a vertical hand rest state, acquiring first acceleration data;
and obtaining a target acceleration along a set direction according to the first acceleration data, and determining a current wearing mode of the wearable device according to the target acceleration along the set direction, wherein the current wearing mode comprises a left-hand mode or a right-hand mode.
2. The method of claim 1, wherein the first acceleration data is three-axis acceleration data and has accelerations in three directions, and the obtaining a target acceleration in a set direction from the first acceleration data and determining the current wearing mode of the wearable device according to the target acceleration in the set direction comprises:
respectively converting the accelerations in the three directions in the first acceleration data into the set directions to obtain target accelerations in the set directions;
and searching a wearing mode corresponding to the target acceleration from a preset acceleration and wearing mode relation table to serve as the current wearing mode, wherein the wearing mode relation table comprises a left-hand mode and an acceleration value range corresponding to the left-hand mode, and a right-hand mode and an acceleration value range corresponding to the right-hand mode.
3. The method of claim 2, wherein the accelerations in the three directions comprise a wide acceleration in a width direction of the wearable device, a vertical acceleration value in a vertical direction perpendicular to a display screen of the wearable device, and a long acceleration value in a long direction perpendicular to the vertical direction and the width direction, and the target acceleration in the set direction is the wide acceleration in the width direction of the wearable device.
4. The method according to claim 2, wherein when the acquired first acceleration data includes at least two sets of first acceleration data, the converting the accelerations in the three directions in the first acceleration data into the set directions, respectively, to obtain the target acceleration in the set direction comprises:
respectively calculating the mean value of at least two accelerations belonging to the same direction in the at least two groups of first acceleration data to obtain the average acceleration along each direction in three directions;
and respectively converting the average acceleration along each direction in the three directions into the set direction to obtain the target acceleration along the set direction.
5. The method according to claim 1, wherein the inertial data includes multiple sets of second acceleration data and multiple sets of magnetic sensor data acquired within a preset time period, and the obtaining the state of the wearable device according to the inertial data includes:
obtaining a state value according to the multiple groups of second acceleration data, determining that the wearable device is in a static state when the state value is smaller than a preset state threshold, and determining that the wearable device is in a motion state when the state value is not smaller than the preset state threshold, wherein the state value is a variance or a standard deviation of the multiple groups of second acceleration data;
when the wearable device is in a static state, obtaining the attitude angle of the wearable device according to the multiple sets of magnetic sensing data and the multiple sets of second acceleration data, and determining that the wearable device is in a vertical hand static state when the attitude angle of the wearable device is within a preset attitude angle range.
6. The method according to any one of claims 1 to 5, wherein after determining the current wearing mode of the wearable device according to the target acceleration in the set direction, the method further comprises:
acquiring a pre-stored wearing mode;
when the pre-stored wearing mode is inconsistent with the current wearing mode, generating prompt information;
and when an adjusting instruction based on prompt information feedback is received, adjusting the pre-stored wearing mode to the current wearing mode.
7. The method of claim 1, wherein prior to performing the obtaining inertial data detected while the wearable device is worn, the method further comprises:
detecting a wearing state of the wearable device, wherein the wearing state comprises a worn state and an unworn state.
8. The method according to claim 7, wherein the wearable device is provided with a distance sensor, and the step of detecting the current wearing state of the wearable device comprises the following steps:
and acquiring the distance detected by the distance sensor, and determining that the current wearing state of the wearable device is a worn state when the distance is smaller than a preset distance threshold.
9. The method of claim 7, wherein a metal is disposed on the housing of the wearable device, wherein the metal is capable of forming a capacitor when worn, and wherein detecting the current wearing state of the wearable device comprises:
acquiring the charge number output by the capacitor;
when the charge number reaches a preset threshold value, determining that the current wearing state of the wearable device is a worn state.
10. A wear detection device, the device comprising: an inertia data acquisition module, a state acquisition module, an acceleration data acquisition module and a wearing detection module, wherein,
the inertial data acquisition module is used for acquiring inertial data detected when the wearable device is worn;
the state obtaining module is used for obtaining the state of the wearable equipment according to the inertial data;
the acceleration data acquisition module is used for acquiring first acceleration data when the state of the wearable device is a motion state or a vertical hand rest state;
the wearing detection module is used for obtaining a target acceleration along a set direction according to the first acceleration data, and determining a current wearing mode of the wearable device according to the target acceleration along the set direction, wherein the current wearing mode comprises a left-hand mode or a right-hand mode.
11. A wearable device, comprising:
an inertial sensor for detecting inertial data;
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to perform the method of any of claims 1-9.
12. A computer-readable storage medium, having stored thereon program code that can be invoked by a processor to perform the method according to any one of claims 1 to 9.
CN202011005161.1A 2020-09-22 2020-09-22 Wearing detection method and device, wearable device and storage medium Pending CN114253405A (en)

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