TW202410066A - Device for detecting behavior and system for readjusting behavioral inertia using the same - Google Patents

Abstract

The present invention provides a device for detecting behavior comprising a flexible belt sensing unit, an inertial detecting unit, and a processing unit. The flexible belt sensing unit is worn around the waist of the user for detecting the amount of expansion or contraction of the waist and generating an expansion-contraction signal. The inertial detecting unit is arranged on the flexible belt sensing unit for detecting a first inertial sensing signal according to the expansion and contraction of the flexible belt sensing unit and the motion of the waist. The processing unit is electrically connected to the flexible belt sensing unit and the inertial detecting unit, receives the expansion-contraction signal and the first inertial sensing signal varied with respect to the time, and generates a physiological status. Alternatively, the present invention further provides a system for readjusting behavioral inertia of the user by using the device.

Description

Behavior sensing device and its behavior inertia reshaping system

The invention is a physiological state sensing and adjustment technology, particularly a behavior sensing device that utilizes an inertial sensor to sense changes in a user's waist state to obtain the user's physiological behavior and adjust the user's behavioral inertia, and its behavior. Inertia reshapes the system.

With the development of society and the advancement of industry and commerce, modern people's lives have become increasingly affluent, and their diets are also very diversified. All the foods they want to eat can be fully supplied on the market. However, due to the busy life in the industrial and commercial society, abnormal eating or living habits are often developed, resulting in the endless emergence of civilization diseases in modern people. Although medicine is now advanced and many diseases can be cured, patients can get twice the result with half the effort if they adjust and change their own living habits and receive professional advice from doctors.

In addition to those who have already contracted the disease need to change their living habits, in an era where prevention is better than treatment, healthy people should pay more attention to whether their living habits are in line with healthy conditions, and pay attention and observation at all times to avoid when the disease occurs. When you are sick, you need to spend more time and energy treating your body.

Despite advances in technology, there is a lack of tools that can help normal people change their living habits. Among the commonly used technologies, some technologies are used to help people make overall recommendations and assessments for health checks. For example, Patent Publication No. I754848 of the Republic of China teaches a health assessment system and method. The system runs in a computer device and includes: a data input/import module for inputting or importing a customer's data, wherein the customer's data includes health data; a health status assessment module for obtaining health promotion knowledge related to the customer's health based on the customer's health data to generate health promotion recommendations for the customer; an integrated assessment module for integrating the health promotion recommendations according to preset integration rules to generate integrated health promotion recommendations; and a result processing module for generating a health report based on the integrated health promotion recommendations.

Although this type of technology can provide users with more complete reports through health checks, it cannot determine the user's living habits. It can only provide an assessment of the current physical condition. Therefore, how to enable users to develop healthy habits before the disease occurs, or change bad living habits to prevent the occurrence of disease, is a very important issue.

The present invention provides a behavior sensing device that senses the user's current lifestyle posture through inertial sensing elements, such as accelerometers and gyroscopes, and senses usage through an elastically stretchable belt sensing unit. Changes in the user's waist circumference can be used to analyze the user's physiological status, such as respiratory rate and dietary status, but this is not a limitation.

The present invention provides a behavioral inertia remodeling system that can help users, whether healthy or sick, detect the physiological state generated by life behavior, and then compare the physiological state with adjustment information about life habits to adjust the user's life habits, thereby achieving the purpose of estimating the rehabilitation status or recovery degree of the human body.

In one embodiment, the present invention provides a behavior sensing device including an elastic belt unit, an inertial sensing unit and a signal processing unit. The elastic belt body unit is attached to the waist of the person to be tested, and expands and contracts according to the state of the waist to generate a waist expansion and contraction signal. The inertial sensing unit is arranged on the elastic belt unit and generates inertial sensing signals based on the expansion and contraction of the elastic belt unit and the movement of the waist. The signal processing unit is electrically connected to the inertial sensing unit and the elastic belt unit. The signal processing unit receives the inertial sensing signal and the waist expansion signal, and adjusts the signal according to the inertial sensing signal and the waist expansion signal. According to the change of time, a physiological state of the subject can be obtained. In another embodiment, the present invention further provides a behavior inertia reshaping system to modify and adjust the user's living habits through the aforementioned behavior sensing device.

In one embodiment, the present invention provides a behavior inertia reshaping system, including a remote server and a behavior sensing device. Among them, the behavior sensing device is used to sense the physiological state of the user and transmit it back to the remote server. The behavior sensing device further includes an elastic belt unit, an inertial sensing unit and a signal processing unit. The elastic belt body unit is attached to the waist of the person to be tested, and expands and contracts according to the state of the waist to generate a waist expansion and contraction signal. The inertial sensing unit is arranged on the elastic belt unit and generates inertial sensing signals based on the expansion and contraction of the elastic belt unit and the movement of the waist. The signal processing unit is electrically connected to the inertial sensing unit and the elastic belt unit. The signal processing unit receives the inertial sensing signal and the waist expansion signal, and adjusts the signal according to the inertial sensing signal and the waist expansion signal. According to the change of time, a physiological state of the subject can be obtained. In another embodiment, the present invention further provides a behavior inertia reshaping system to modify and adjust the user's living habits through the aforementioned behavior sensing device.

Some exemplary embodiments will be shown below with reference to the accompanying drawings. However, the concepts of the present invention may be embodied in many different forms and should not be construed as being limited to the exemplary embodiments described herein. Rather, these exemplary embodiments are provided to make the present invention more detailed and complete, and will fully convey the scope of the concepts of the present invention to those skilled in the art. Numbers always indicate corresponding elements. The behavior sensing device and its behavior inertia remodeling system of the present invention will be described below with a variety of embodiments in conjunction with drawings. However, the following embodiments are not intended to limit the present invention.

Please refer to FIG. 1 , which is a schematic diagram of an embodiment of the behavior sensing device of the present invention. The behavior sensing device 2 includes an elastic belt unit 20 , an inertial sensing unit 21 and a signal processing unit 22 . The elastic belt unit 20 is tied to the user's waist and expands and contracts according to the state of the waist to generate a waist expansion and contraction signal. In this embodiment, the elastic belt unit 20 includes an elastic belt 200 on which a stretch sensing element 201 is disposed for sensing the stretch of the elastic belt 200 as the user's waistline changes. In one embodiment, the sensing element 201 can be a strain gauge or a variable resistor, and the change in the voltage signal generated can determine the expansion and contraction amount of the elastic band 200 and thereby obtain the change in the waist circumference of the user.

The elastic band 200 has a fixing means, which can be a variety of different fixing methods. In this embodiment, Velcro 202 and 203 can be bonded to each other, but this is not a limitation. For example, a buckle method can also be used, which is well known to those skilled in the art and will not be described in detail here. In addition, it should be noted that in addition to using the method of bonding or buckling the two ends of the elastic band 200, it can also be a whole elastic band structure formed in one piece, which can be determined according to the needs of the user and is not limited.

The inertia sensing unit 21 is disposed on the elastic belt unit 20, and generates an inertia sensing signal according to the extension and contraction of the elastic belt unit 20 and the user's posture and/or waist movement. The inertia sensing unit can use a gyroscope, a multi-axis accelerometer, or a combination thereof to generate an inertia sensing signal. The signal processing unit 22 is electrically connected to the inertia sensing unit 21 and the sensing element 201 of the elastic belt unit 20, and the signal processing unit 22 receives the inertia sensing signal and the waist extension signal, and obtains a physiological state of the subject according to the changes of the inertia sensing signal and the waist extension signal over time. In this embodiment, the signal processing unit 22 is further electrically connected to a signal transmitting and receiving module 23, which can be a wifi transmitting and receiving module, a bluetooth transmitting and receiving module, or an entry communication transmitting and receiving module.

The inertial sensing signal and the waist extension signal obtained by the signal processing unit 22 can be transmitted to the proximal device 24 through the signal transmitting and receiving module 23 after processing and calculation. In this embodiment, the proximal device 24 is a user's smart handheld device, such as a mobile phone or a tablet computer, but is not limited to this. For example, the proximal device can also be a desktop computer or a remote server, which can be determined according to the needs of the user without any specific restrictions. The proximal device 24 shown in Figure 1 is a smart phone. The proximal device 24 is equipped with an application APP. After the user executes the APP, the user's operation interface will be generated. The operation interface can be used to display the information obtained after the signal processing unit 22 processes the signal.

For example, the respiratory state is used as an example of the physiological state. The human body's breathing pattern is related to changes in the chest and abdominal cavities. When inhaling, the lungs will expand and press down on the abdominal cavity, making the waist circumference larger. On the contrary, when exhaling, the waist circumference will shrink, so it can be measured by detecting changes in waist circumference. Breathing times, breathing frequency, breathing volume, breathing curve and other information. For example, because the elastic belt unit 20 is tied to the waist of the person to be measured and expands and contracts according to the state of the waist, it can generate a sensing signal. After the sensing signal is processed by the signal processing unit, information about the waist size is obtained. The information is sent back to the remote device 24. Since there is a correlation between breathing and changes in waist circumference, the user can establish a corresponding relationship based on this correlation and then store it in the remote device 24 . The remote device 24 receives the information about the change in waist size, stores the record in real time, and displays it on the screen of the remote device 24 through a graph.

The APP in the remote device 24 can obtain the number of breaths of the user based on the signal wave number of changes in waist circumference. You can also perform Fourier transform calculations from the waist circumference change information to convert the time domain into the frequency domain to analyze the respiratory frequency. In addition, the waist circumference change curve can be integrated, and its area can represent the user's breathing volume. The aforementioned information sensed from changes in waist circumference can be converted into breathing information and displayed on the user's remote device in the form of text or graphs.

In another embodiment, in order to obtain more accurate information about the user's breathing, the signal processing unit further includes a correction module 220. The correction module 220 combines the changes in human body movements or postures sensed by the inertial sensing unit 21. The generated inertial sensing signal is converted into correction information, and the breathing characteristics are obtained based on the correction information and the change of the waist expansion and contraction signal over time. In this embodiment, the calibration module 220 uses the inertial sensing signal obtained by the inertial sensing unit 21 for calibration. The inertial sensing signal represents the signal generated when the user's body moves and posture changes, and can filter the interference from changes in waist circumference. In this embodiment, the inertial sensing unit 21 can generate six-axis signals (three-axis acceleration and three-axis angular acceleration), and its changes can roughly analyze human body behaviors, such as standing up, sitting down, lying down, jumping, walking, running, etc. Behaviors such as movement and immobility, combined with changes in waist circumference, can accurately determine the behavior of the human body. For example, the waist circumference will become smaller when standing up, the waist circumference will become larger when sitting down, and the waist circumference will have a fixed frequency of change when running. Therefore, when the inertial sensing unit 21 senses human movement through the calibration module 23, the inertial sensing signal can detect the movement frequency, and filter the movement frequency from the respiratory frequency to obtain the correct respiratory frequency.

Another implementation of the physiological state is the dietary state. After the human body eats, food accumulates in the intestines and stomach. The difference in food amount can be compared from the change in waist circumference before and after eating, and the amount of food eaten, the speed of eating, and the speed of digestion can be understood from the change in waist circumference. Among them, the amount of food eaten can be estimated from the difference in waist circumference before and after eating. The eating speed can be estimated from the change speed of the waist circumference difference when eating on the timeline. Digestion speed: When the food intake is the largest (the waist circumference is the largest), the waist circumference will gradually become smaller during the digestion process to estimate the speed of digestion. However, because the size and change of the waist circumference will vary with the user's posture changes, such as: sitting posture, standing posture, exercise posture or sleeping posture, etc., therefore, in this embodiment, further, through the correction model Group 220 for correction. In this embodiment, the calibration module 220 uses the inertial sensing signal obtained by the inertial sensing unit 21 for calibration. The inertial sensing signal represents the signal generated when the user's human body moves and changes in posture, and can filter interference from changes in waist circumference. In this embodiment, the inertial sensing unit 21 can generate six-axis signals (three-axis acceleration and three-axis angular acceleration), and its changes can roughly analyze human body behaviors, such as standing up, sitting down, lying down, jumping, walking, running, etc. Behaviors such as movement and immobility, combined with changes in waist circumference, can accurately determine the behavior of the human body. For example, the waist circumference will become smaller when standing up, the waist circumference will become larger when sitting down, and the waist circumference will have a fixed frequency of change when running. Therefore, through the correction module 23, the inertial sensing unit 21 senses the posture of the human body, and then compares the waist circumference corresponding to the user's normal not-eating posture in this posture with the current waist circumference, so that the current waist circumference can be corrected. The person’s eating status.

For example, the user can first establish the waist circumference information of the fasting person in different postures, and then record the waist circumference of the various postures when full. This way, the user can know the waist circumference of the user in various postures in the fasting and full states. waistline. This information can be used to control how much the user eats. If the user is not eating or drinking normally, their sitting posture will correspond to specific waist circumference information. When the user is eating, the inertial sensing unit detects that the user's current posture is a sitting posture, and the waistline continues to increase, so it can be inferred that the current user is sitting down to eat. After eating, the user walks outdoors for an hour. Through the inertial sensing unit, it can be known that the current posture of the user is upright and in motion. Therefore, the correction module 220 will compare and correct the waist circumference information of the user in the past when the user exercised and did not eat, and then can learn the digestion status of the current user when he has been walking for an hour.

Please refer to FIG. 2A , which is a schematic diagram of an embodiment of the behavioral inertia reshaping system of the present invention. In this embodiment, the behavioral inertia reshaping system 3 mainly warns and corrects the user's living habits through physiological state sensing and human body posture sensing, and inertially adjusts bad habits to achieve the effect of improving the body. In this embodiment, the behavior inertia reshaping system 3 includes a remote server 30 and at least one behavior sensing device 2 . The remote server 30 is electrically connected to the behavior sensing device 2 via the network. The remote server 30 has a management module that can receive the physiological status generated by the behavior sensing device 2 and record it in the database. After long-term accumulation, the trend of the user's physiological status can be seen, such as: breathing, Changes in waist circumference or eating habits, etc.

In one embodiment, the server 30 can provide a doctor-set interface or use a big data artificial intelligence module to set or generate a remodeling adjustment information about the user according to the user's physiological state and current physical condition. The remodeling adjustment information is sent back to the user's remote device 24, and the APP in the remote device 24 will check whether the user follows the adjustment information according to the adjustment information. If not, a warning message will be generated. For example: In one embodiment, the remote server generates remodeling adjustment information through doctor input or a big data calculation module, including: eating 70% full, walking for 30 minutes after a meal, walking speed of 120-150 steps per minute, and breathing frequency maintained at 2-3 times per second, which can improve the user's digestion and cardiopulmonary function.

The remodeling adjustment information is sent to the proximal device 24 operated by the user, which can assist the user in remodeling and adjusting behavior habits. For example, based on the aforementioned remodeling adjustment information, the application APP in the proximal device 24 will make a judgment based on the physiological state collected by the behavior sensing device. When it is judged through the physiological state that the user is currently eating, the waist circumference corresponding to the fullness state of 70% full will be detected based on the remodeling adjustment information. From the information returned by the behavior sensing device 2, once the waist circumference is detected to correspond to 70% full, the application APP in the proximal device 24 will generate a warning message to remind the user not to eat anymore.

Afterwards, the application APP in the proximal device 24 reminds the user to get up and walk for 30 minutes based on the remodeling adjustment information, and the amount of exercise should be controlled to control the breathing frequency to 2-3 times. At this time, the application APP will start the monitoring detection program, and judge whether the breathing has reached 2-3 times per second from the physiological state sent back by the behavior sensing device 2. If not, an alarm will be issued to the user to make adjustments. In addition, it also monitors whether the walking exercise time has reached 30 minutes. Because the inertial sensing unit 21 can sense the user's posture and acceleration state, it can be judged whether the user's walking speed and time meet the walking speed of 120-150 steps per minute and last for 30 minutes.

It should be noted that although the comparison between the aforementioned remodeling adjustment information and the physiological state obtained by the behavior sensing device is performed on the proximal device 24, it is not limited to this. For example: in another embodiment, the execution process of comparing the physiological state and the remodeling adjustment information can be performed in the artificial intelligence module of the remote server 30 or on the behavior sensing device, and the prompt/alert message can be conveyed by the medium of vibration, sound, light signal and screen to achieve the purpose of behavioral inertia remodeling. Please refer to FIG. 2B, which is a schematic diagram of another embodiment of the behavioral inertia remodeling system of the present invention. The architecture of the behavioral inertia remodeling system 3a in this embodiment is basically similar to that of 2A, except that in this embodiment, the behavior sensing device 2 first transmits the information after the sensing signal processing to the proximal device 24, and then the physiological state is transmitted back from the proximal device 24 to the remote server 30.

The above only records the preferred implementation methods or examples of the technical means adopted by the present invention to solve the problem, and is not used to limit the scope of implementation of the present invention. That is, all equivalent changes and modifications that are consistent with the scope of the patent application of the present invention or made according to the scope of the patent of the present invention are covered by the scope of the patent of the present invention.

2: Behavior sensing device 20: Elastic belt unit 200: Elastic belt 201: Extension sensor 202, 203: Velcro 21: Inertia sensing unit 22: Signal processing unit 220: Calibration module 23: Signal transmitting and receiving module 24: Terminal device 3, 3a: Behavior inertia reshaping system 30: Remote server

FIG1 is a schematic diagram of an embodiment of the behavior sensing device of the present invention. FIG2A is a schematic diagram of an embodiment of the behavior inertia reshaping system of the present invention. FIG2B is a schematic diagram of another embodiment of the behavior inertia reshaping system of the present invention.

2: Behavior sensing device

20: Elastic belt unit

200: Elastic belt

201, 202: Devil’s Felt

21:Inertial sensing unit

22:Signal processing unit

220:Calibration module

23: Signal transmitting and receiving module

24:Incoming device

Claims (14)

A behavior sensing device including: An elastic belt body unit is tied to the waist of the person to be tested, and expands and contracts according to the state of the waist to generate a waist expansion and contraction signal; An inertial sensing unit is provided on the elastic belt unit and generates an inertial sensing signal based on the expansion and contraction of the elastic belt unit and waist movement; and A signal processing unit is electrically connected to the inertial sensing unit and the elastic belt unit. The signal processing unit receives the inertial sensing signal and the waist expansion signal, and performs the processing according to the inertial sensing signal and the waist expansion signal. The signal changes over time to obtain a physiological state of the subject. A behavior sensing device as described in claim 1, wherein the inertia sensing unit is an accelerometer, a gyroscope, or a combination thereof. A behavioral sensing device as described in claim 1, wherein the physiological state is a respiratory characteristic of the subject, including the number of breaths, breathing frequency or breathing volume. As described in claim 3, the signal processing unit further establishes a calibration module, which converts the inertial sensing signal generated by the inertial sensing unit sensing human body movement or posture change into calibration information, and then obtains the breathing characteristics based on the calibration information and the change of the waist extension signal over time. The behavior sensing device as described in claim 1, wherein the physiological state is a dietary characteristic of the subject, which includes food intake, eating speed and digestion speed. In the behavior sensing device as described in claim 5, the signal processing unit further establishes a calibration module, which converts the inertia sensing signal generated by the inertia sensing unit sensing human body movement or posture change into calibration information, and then obtains the dietary characteristics based on the calibration information and the change of the waist extension signal over time. A behavioral inertia reshaping system, including: a remote server; and A behavior sensing device is used to transmit the physiological state of the subject back to the remote server. The behavior sensing device further includes: An elastic belt body unit is tied to the waist of the person to be tested, and expands and contracts according to the state of the waist to generate a waist expansion and contraction signal; An inertial sensing unit is provided on the elastic belt unit and generates an inertial sensing signal based on the expansion and contraction of the elastic belt unit and waist movement; and A signal processing unit is electrically connected to the inertial sensing unit and the elastic belt unit. The signal processing unit receives the inertial sensing signal and the waist expansion signal, and performs the processing according to the inertial sensing signal and the waist expansion signal. The signal changes over time to obtain the physiological state. A behavioral inertia reshaping system as described in claim 7, wherein the inertia sensing unit is an accelerometer, a gyroscope, or a combination thereof. A behavioral inertia remodeling system as described in claim 7, wherein the physiological state is a respiratory characteristic of the subject, including the number of breaths, breathing frequency or breathing volume. For the behavioral inertia reshaping system described in claim 9, the signal processing unit further establishes a correction module, which uses the inertial sensing signal generated by the inertial sensing unit to sense human body movement or posture changes. Convert it into correction information, and then obtain the breathing characteristics based on the correction information and the change of the waist expansion and contraction signal over time. A behavioral inertia remodeling system as described in claim 7, wherein the physiological state is a dietary characteristic of the subject, including food intake, eating speed and digestion speed. As for the behavioral inertia reshaping system described in claim 11, the signal processing unit further establishes a correction module, and the correction module uses the inertial sensing signal generated by the inertial sensing unit to sense the movement or posture change of the human body. Convert it into correction information, and then obtain the dietary characteristics based on the correction information and the change of the waist expansion and contraction signal over time. For the behavioral inertia reshaping system described in claim 7, the remote server further includes an artificial intelligence module for generating reshaping adjustment information based on the physiological state and sending it back to the behavior sensing device. The behavior sensing device The detection device compares the physiological state according to the remodeling adjustment information. When the physiological state meets an adjustment condition, the behavior sensing device activates the remodeling adjustment information to remind the user to make behavioral adjustments based on the remodeling adjustment information. A behavioral inertia remodeling system as described in claim 13, wherein the behavior sensing device further includes an input device for receiving the remodeling adjustment information, and the input device compares the physiological state with the remodeling adjustment information through an application, and generates an alarm when a normal condition is not met.

Images