Performance Monitoring System

Abstract

The present application relates to an action performance monitoring system, and to the field of human-computer interaction technology. The action performance monitoring system of the embodiment of the present application includes a wearable strap and a computer device; the wearable strap includes a sensor device mounted on the wearable strap; the wearable strap is used to attach to the action part; the sensor device is configured to perform motion measurement on the action part to obtain physical data corresponding to the action part, and convert the physical data into kinematic data and output; the action part includes at least one of all movable parts of the body; the computer device is communicatively connected to the sensor device for communication interaction, and the computer device is configured to enter an operation mode corresponding to the kinematic data at least based on the kinematic data. The action performance monitoring system of the embodiment of the present application has the advantages of good real-time performance, high precision and high stability.

Description

Technical Field

[0001] The present application relates to the field of human-computer interaction technology, and specifically to a system for interaction between a user and a computer, and in particular to an action performance monitoring system. Background Art

[0002] In the human-computer interaction (HCI) motion performance monitoring system, sensor devices can usually be used. The sensor devices can collect data related to the motion performance and realize the interaction with the computer device.

[0003] Typically, some sensing devices use visual solutions to capture and transmit athlete action videos. Computer devices can use artificial intelligence (AI) to process the action videos to instruct the computer devices to make various responses, thereby controlling different modes of the sensing devices to, for example, issue alarms or prompt action corrections.

[0004] However, visual solutions are mostly used for post-analysis and require computers with high-performance GPUs. The implementation of this type of human-computer interaction usually has poor real-time performance, and the visual solution is easily blocked, resulting in low accuracy. Utility Model Content

[0005] In view of this, an embodiment of the present application provides an action performance monitoring system to solve at least one problem existing in the background technology.

[0006] An embodiment of the present application provides an action performance monitoring system, the action performance monitoring system comprising a wearable strap and a computer device;

[0007] The wearable band includes a sensor device mounted on the wearable band; the wearable band is used to be attached to the action part;

[0008] The sensing device is configured to perform motion measurement on the action part to obtain physical data corresponding to the action part, and convert the physical data into kinematic data and then output it; the action part includes at least one of all movable parts of the body;

[0009] The computer device is communicatively connected to the sensor device for communication interaction, and the computer device is configured to enter an operation mode corresponding to the kinematic data based at least on the kinematic data.

[0010] In an optional implementation, the sensing device includes a processor, a first gyroscope, a second gyroscope, and a communication module; the first gyroscope, the second gyroscope, and the communication module are respectively connected to the processor;

[0011] The first gyroscope and the second gyroscope are configured to perform motion measurement on the action part in a time-sharing manner; the first gyroscope is configured to obtain first physical data corresponding to the action part, and the second gyroscope is configured to obtain second physical data corresponding to the action part;

[0012] The processor is configured to determine kinematic data based at least on the first physics data and the second physics data;

[0013] The communication module is configured to output the kinematic data.

[0014] In an optional implementation, the communication module includes a Bluetooth module.

[0015] In an optional implementation, the sensing device further comprises an accelerometer; the accelerometer is connected to the processor;

[0016] The accelerometer is configured to measure the motion of the action part to obtain third physical data related to the action part;

[0017] The processor is configured to determine kinematic data based on at least the first physics data, the second physics data and the third physics data.

[0018] In an optional implementation, the sensing device further includes a strap switch; the strap switch is connected to the processor;

[0019] The strap switch adopts a key switch and is configured to control the power on and off of the sensing device and the start and stop of the motion measurement of the action part.

[0020] In an optional embodiment, the strap switch is also configured to control the switching of the exercise mode.

[0021] In an optional implementation, the sensor device further includes a power management module and an energy storage battery module; the power management module is connected to the processor; the energy storage battery module is connected to the power management module;

[0022] The energy storage battery module is configured to output an energy storage battery output voltage;

[0023] The power management module is configured to convert the output voltage of the energy storage battery into a supply voltage to power the sensor device.

[0024] The beneficial effects brought by the technical solution provided by the embodiment of the present application include: the action performance monitoring system of the embodiment of the present application includes a wearable strap and a computer device, the wearable strap can be attached to multiple action parts, and the sensor device on the wearable strap can measure the motion of the action parts, which can overcome the defects of poor real-time performance and low precision in realizing human-computer interaction through action videos, and improve real-time performance and precision. And the sensor device is configured to convert the physics data into kinematic data and then transmit it to the computer device, so that the computer device enters the operation mode corresponding to the kinematic data, which can overcome the defects of large power consumption, low stability and poor real-time performance caused by the large amount of data transmitted between the sensor device and the computer device, and can further improve real-time performance and stability, and may also reduce power consumption.

[0025] Additional aspects and advantages of the embodiments of the present application will be given in part in the description below and in part will become apparent from the description below or will be learned through the practice of the embodiments of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The drawings are not necessarily drawn to scale, and local features may be enlarged or reduced to more clearly show the details of the local features. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0027] Figure 1 It is a schematic diagram of a specific example of the action performance monitoring system in the embodiment of the present application;

[0028] Figure 2 A schematic diagram of a specific example of a sensor device in an embodiment of the present application;

[0029] Figure 3 A schematic diagram of a specific example of measurement data and fitting curves of two gyroscopes in an embodiment of the present application;

[0030] Figure 4 A circuit diagram of a specific example of a processor in an embodiment of the present application;

[0031] Figure 5 A circuit diagram of a specific example of the first gyroscope in the embodiment of the present application;

[0032] Figure 6 A circuit diagram of a specific example of the second gyroscope in the embodiment of the present application;

[0033] Figure 7 A circuit diagram of a specific example of a communication module in an embodiment of the present application;

[0034] Figure 8 A circuit diagram of a specific example of an accelerometer in an embodiment of the present application;

[0035] Fig. 9 The circuit diagram is a specific example of a power management module and an energy storage battery module in an embodiment of the present application. DETAILED DESCRIPTION

[0036] In order to make the technical solutions and beneficial effects of the embodiments of the present application more obvious and understandable, the following is a clear and complete description by listing specific embodiments. Obviously, the enumerated embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present application. The terms used in the specification of the present application are only for the purpose of describing specific embodiments and are not intended to limit the present application.

[0037] It should be noted that the terms "first", "second", etc. can be used in this article to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from another element. When describing "first", it does not mean that "second" necessarily exists; and when discussing "second", it does not mean that "first" necessarily exists in this application. The singular forms of "one", "one" and "said / the" may also be intended to include plural forms unless the context clearly indicates another way. The term "includes" is to determine the existence of the included features, but does not exclude the existence or addition of one or more other features. The term "and / or" includes any and all combinations of the relevant listed items. The term "multiple" means two or more. The term "connection" means that there is a transmission of electrical signals or data between the connected end and the connected end, which can be understood as "electrical connection", "communication connection", etc. "Connection" can be a direct connection between two components, or an indirect connection established through other components, or a connection between two components, or any other possible connection form.

[0038] The present application provides an action performance monitoring system that can be applied to the interaction between a user and a computer. The action performance monitoring system may include a wearable strap that can be used as an input device for the interaction between the user and the computer. Figure 1 As shown, the movement performance monitoring system includes a wearable band 100 and a computer device 200;

[0039] The wearable band 100 includes a sensor device 110 mounted on the wearable band 100; the wearable band 100 is used to be attached to the action part;

[0040] The sensor device 110 is configured to perform motion measurement on the action part to obtain physical data corresponding to the action part, and convert the physical data into kinematic data and then output it; the action part includes at least one of all movable parts of the body;

[0041] The computer device 200 is communicatively connected to the sensor device 110 for communication interaction, and the computer device 200 is configured to enter an operation mode corresponding to the kinematic data at least based on the kinematic data.

[0042] In the embodiment of the present application, the wearable band 100 may be made of a flexible material or other material suitable for binding, such as cloth, leather, rubber, nylon, polypropylene, aluminum alloy, etc. The action part may be, for example, the athlete's head, torso, limbs, or fingers, toes, etc., and motion measurement may be performed on one or more of these action parts; a wearable band 100 may be attached to each part to achieve motion measurement of the part.

[0043] The sensing device 110 can be set according to actual needs, for example, it can include a gyroscope, an accelerometer, etc. Physical data can refer to various data related to physics, which describe the basic properties, interactions and change laws of matter. Physical data can be observations and measurements of various physical phenomena such as force, heat, light, electricity, and magnetism. For example, Euler angles, quaternions, etc. can be physical data. Kinematic data can be data that specifically describes the motion state and motion process of an object, and these data mainly focus on the changes in the spatial position of the object over time. For example, kicking time, leg lifting height, etc. can be kinematic data.

[0044] At present, some sensing devices are available for athletes to wear, such as sports bracelets, anklets, etc., which can collect data and transmit them to computer equipment, indicating that the response corresponding to the action performance and / or physical state is given. In the scheme of sports bracelets and anklets, the data transmitted between the sensing device and the computer equipment are traditional physics data such as Euler angles and quaternions obtained by, for example, gyroscopes, etc., and the computer equipment needs to be further analyzed before it can be converted into kinematic data (such as kicking time, leg lifting height, etc.). It takes certain analysis and processing time to convert physics data into kinematic data, resulting in poor real-time performance of traditional solutions. And the data volume of physics data is large, when transmitted between computer equipment and sensing equipment, it is not only time-consuming, but also affects transmission stability, and may even increase power consumption. Therefore, the embodiment of the present application improves real-time performance and stability by changing the data transmitted between computer equipment and sensing equipment into kinematic data, and may also reduce power consumption.

[0045] The communication interaction mode between the computer device 200 and the sensor device 110 can be set according to actual needs, for example, it can be wired communication and / or wireless communication. The wireless communication mode can be, for example, Bluetooth, WIFI, ZigBee, mobile communication, etc.

[0046] The computer device 200 may enter an operation mode corresponding to the kinematic data. Exemplarily, if the kinematic data indicates that the action is up to standard, the computer device 200 may enter a standard operation mode, in which the computer device 200 may send an action standard indication message to the sensing device 110 to indicate that the action has reached the standard. Conversely, if the kinematic data indicates that the action is not up to standard, the computer device 200 may enter a non-standard operation mode, in which the computer device 200 may send an action non-standard indication message to the sensing device 110 to indicate that the action is not up to standard. The computer device 200 may also include other operation modes corresponding to the kinematic data, such as a qualified number of operation modes, a fatigue reminder operation mode, and the like. If the kinematic data indicates that the number of times the action is performed has met a preset number of thresholds, the computer device 200 may enter a qualified number of operation mode, in which the computer device 200 may send a qualified number of action indication message to the sensing device 110 to indicate that the number of actions has met the requirements. If the kinematic data indicates that the athlete is in a fatigue state, the computer device 200 may enter a fatigue reminder operation mode, in which the computer device 200 may send a fatigue reminder indication message to the sensor device 110 to suggest appropriate rest or fatigue warning.

[0047] The computer device 200 may include a processor, a memory, a network interface, a display, and an input device connected via a system bus. Among them, the processor of the computer device 200 is used to provide computing and control capabilities. The memory of the computer device 200 includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the computer device 200 is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, it realizes communication interaction with the sensor device 110. The display of the computer device 200 may be a liquid crystal display or an electronic ink display, and the input device of the computer device 200 may be a touch layer covered on the display, or a button, trackball or touchpad set on the housing of the computer device 200, or an external keyboard, touchpad or mouse, etc. The computer device 200 may be a mobile phone or a computer, etc.

[0048] The computer device 200 can also communicate and interact with the server to send and receive data and / or instructions. The server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms.

[0049] In the embodiment of the present application, the motion performance monitoring system includes a wearable strap and a computer device. The wearable strap can be attached to multiple motion parts. The sensor device on the wearable strap can measure the motion of the motion parts, which can overcome the defects of poor real-time performance and low precision in realizing human-computer interaction through motion video, and improve real-time performance and precision. In addition, the sensor device is configured to convert the physics data into kinematic data and then transmit it to the computer device, so that the computer device enters an operation mode corresponding to the kinematic data, which can overcome the defects of large power consumption, low stability and poor real-time performance caused by the large amount of data transmitted between the sensor device and the computer device, and can further improve real-time performance and stability, and may also reduce power consumption.

[0050] The performance monitoring system can monitor the activity status of various parts of the body and can be applied to various occasions such as physical exercise, sleep quality monitoring, and athlete training. For example, for each training action performed by the athlete during training, the athlete and the coach need to understand whether it meets the standard, whether the number of training times of the action meets the requirements, and the fatigue level of the athlete's training also needs to be paid attention to. Taking Taekwondo as an example, the kicking speed, kicking height, kicking rotation angle, and number of repetitions are all technical action indicators that athletes and coaches are concerned about.

[0051] Wearable straps can be attached to the athlete's head, trunk, limbs and other parts of the body. They can detect the movement status of various parts of the body, empower athletes' training through digital means, and help athletes achieve better results. However, since the movement speed is generally fast, especially the rotation of body joints, conventional detection methods (such as using a gyroscope) are difficult to detect accurately and have poor stability. If a high-precision and high-speed gyroscope is used, power consumption will often increase a lot, affecting the endurance of the entire system. If the accuracy or speed is doubled, the corresponding cost will more than double.

[0052] To this end, in an optional embodiment, Figure 2As shown, the sensing device 110 includes a processor 111, a first gyroscope 112, a second gyroscope 113 and a communication module 115; the first gyroscope 112, the second gyroscope 113 and the communication module 115 are respectively connected to the processor 111;

[0053] The first gyroscope 112 and the second gyroscope 113 are configured to measure the motion of the action part in a time-sharing manner; the first gyroscope 112 is configured to obtain first physical data corresponding to the action part, and the second gyroscope 113 is configured to obtain second physical data corresponding to the action part;

[0054] The processor 111 is configured to determine kinematic data based on at least the first physics data and the second physics data;

[0055] The communication module 115 is configured to output the kinematic data.

[0056] In the embodiment of the present application, the first gyroscope 112 and the second gyroscope 113 can obtain the first physical data and the second physical data in a time-sharing manner, thereby reducing the sampling rate requirement by half. For example, the first gyroscope 112 and the second gyroscope 113 can alternately and continuously measure the first physical data and the second physical data, but it is not limited thereto. The first gyroscope 112 and the second gyroscope 113 can use high-precision gyroscopes to improve accuracy.

[0057] The processor 111 may be a processing unit with data processing capability and / or instruction execution capability, for example, a microcontroller unit (MCU) or the like. The method of obtaining kinematic data by using the processor 111 according to the first physical data and the second physical data may be set according to actual needs, for example, a mixed fitting curve method may be adopted, such as Figure 3 As shown, according to the data of different time stamps corresponding to the first gyroscope 112 and the second gyroscope 113, the first gyroscope fitting curve and the second gyroscope fitting curve can be fitted respectively. Then, the first gyroscope fitting curve and the second gyroscope fitting curve can be mixed to obtain a mixed fitting curve. Then, kinematic data can be determined at least based on the mixed fitting curve.

[0058] The communication module 115 can communicate and interact with the computer device 200, and can output the kinematic data obtained from the processor 111 to the computer device 200. The communication module can be a short-distance communication module or a long-distance communication module, and the short-distance communication module can include at least one of a Bluetooth module, a WIFI module, a ZigBee module, an Ethernet module, a serial port module, a parallel port module, etc., and the long-distance communication module can include at least one of a GPRS module, a 2G module, a 3G module, a 4G module, a 5G module, an LTE module, etc.

[0059] The embodiment of the present application configures dual gyroscopes, which not only equivalently improves the sampling rate of the gyroscope, but also can improve the performance by up to 2 times, and can be suitable for rapid rotation detection of various parts of the athlete's body; it can also overcome the defect that each gyroscope itself has some errors. By fitting the data of the two, some system errors can be eliminated first, so that the detection data is closer to the real data and the accuracy is improved.

[0060] As a specific example, the communication module 115 includes a Bluetooth module.

[0061] The embodiment of the present application uses a Bluetooth module to transmit kinematic data. Since the amount of kinematic data is small, it can effectively save Bluetooth transmission bandwidth and improve Bluetooth transmission stability.

[0062] In an alternative embodiment, if Figure 2 As shown, the sensor device 110 further includes an accelerometer 114; the accelerometer 114 is connected to the processor 111;

[0063] The accelerometer 114 is configured to measure the motion of the action part to obtain third physical data corresponding to the action part;

[0064] The processor 111 is configured to determine kinematic data based on at least the first physics data, the second physics data and the third physics data.

[0065] The embodiment of the present application obtains the third physical data through accelerometer measurement, and the processor (MCU) selects sampling points on the mixed fitting curve of the two gyroscopes according to the timestamp of the accelerometer, so as to further process the gyroscope data and the accelerometer data to obtain kinematic data. For example, the MCU can eventually generate kinematic data (such as kicking time, leg lifting height, etc.) from complex physical data (such as Euler angles, quaternions, etc.) and send it out through the Bluetooth module. The embodiment of the present application further fuses the data with the accelerometer after fitting the dual gyroscope data, thereby improving the accuracy.

[0066] In an alternative embodiment, if Figure 2 As shown, the sensor device 110 further includes a strap switch 116; the strap switch 116 is connected to the processor 111;

[0067] The strap switch 116 is a push button switch and is configured to control the on / off of the sensor device 110 and the start / stop of the motion measurement of the action part.

[0068] The embodiment of the present application simplifies the structure of the sensor device 110 by configuring the strap switch 116 to adopt a push button switch, which is conducive to miniaturization.

[0069] In an optional embodiment, the strap switch 116 is also configured to control the switching of the exercise mode.

[0070] In the embodiment of the present application, the sports mode may include taekwondo, running, long jump, sleep, etc. In different sports modes, the computer device may configure an interactive mode corresponding to each sports mode. For example, when the strap switch 116 controls the sensor device 110 to enter the taekwondo sports mode, the computer device also enters the interactive mode corresponding to the taekwondo sports mode.

[0071] The strap switch 116 controls the on / off of the sensor device 110, the start / stop of the motion measurement of the action part, and the specific operation mode of the motion mode switching, which can be set according to actual needs. For example, long press the button switch for 5 seconds: the sensor device 110 is turned on or off; double-click the button switch: the motion mode is switched; single-click the button switch: start or stop detection.

[0072] The embodiment of the present application can realize functions such as power on and off, sports mode switching, start and stop detection, etc. by configuring only one button switch, and can realize one-button switching of sports modes by using a strap switch.

[0073] In an alternative embodiment, if Figure 2 As shown, the sensor device 110 further includes a power management module 117 and an energy storage battery module 118; the power management module 117 is connected to the processor 111; the energy storage battery module 118 is connected to the power management module 117;

[0074] The energy storage battery module 118 is configured to output an energy storage battery output voltage;

[0075] The power management module 117 is configured to convert the output voltage of the energy storage battery into a supply voltage to power the sensor device 110 .

[0076] In the embodiment of the present application, the energy storage battery can be a lithium battery or other rechargeable battery. The energy storage battery module 118 can output the power supply voltage from the energy storage battery, or can also charge the energy storage battery. The power management module 117 can provide the sensor device 110 with a low noise, high power supply rejection ratio (PSRR), stable, etc. power supply voltage to improve system stability.

[0077] As a specific example, Figure 4 A circuit diagram of a processor 111 of a specific example is shown. Figure 5 A circuit diagram of a first gyroscope 112 of a specific example is shown. Figure 6 A circuit diagram of the second gyroscope 113 of a specific example is shown. Figure 7 A circuit diagram of the communication module 115 of a specific example is shown.

[0078] The first gyroscope U1 and the second gyroscope U2 are respectively connected to the processor U12, and are configured to perform motion measurement on the action part in a time-sharing manner; the first gyroscope U1 is configured to obtain first physical data corresponding to the action part, and the second gyroscope U2 is configured to obtain second physical data corresponding to the action part; the communication module U4 is connected to the processor U12, and is configured to output kinematic data.

[0079] As a specific example, Figure 8 A specific example of the accelerometer 114 is shown. The accelerometer U3 is connected to the processor U12 and is configured to measure the motion of the action part to obtain third physical data related to the action part.

[0080] As a specific example, Fig. 9 A specific example of a power management module 117 and an energy storage battery module 118 is shown. The power management module 117 includes U5, which is configured to convert the energy storage battery output voltage VCC into a power supply voltage MCU+3.3V to power the sensor device. The energy storage battery module 118 includes U6, which is configured to output the energy storage battery output voltage VCC.

[0081] In the embodiment of the present application, U12 (MCU) is connected to U1, U2, U4 and U3 respectively. U1 and U2 can be 16-bit three-axis gyroscopes, which can realize 6-axis motion measurement. U4 can be a small-volume wireless serial port transparent Bluetooth module, suitable for Bluetooth wireless serial port data transmission. U3 can be a three-axis linear accelerometer. U5 can be a low-noise, low-dropout (LDO) linear regulator with characteristics such as low noise, high power supply rejection ratio (PSRR), low quiescent current and low line or load transient response. U5 can output a 3.3V supply voltage to power U12, U1, U2, U4 and U3. U6 can be a constant current / constant voltage linear charger for lithium-ion batteries.

[0082] The energy storage battery module 118 also includes a switch S1, a first transistor Q1, a second transistor Q2, a 30th resistor R30, a 31st resistor R31, a 32nd resistor R32, a 33rd resistor R33, a 36th resistor R36, a 37th resistor R37, a 38th resistor R38, a fourth capacitor C4, a 20th capacitor C20 and a 21st capacitor C21 to output the energy storage battery output voltage VCC.

[0083] The first input terminal 1 of the switch S1 is respectively connected to the second input terminal 2 of the switch S1, the first end of the thirty-first resistor R31 and the first end of the thirty-seventh resistor R37, the second end of the thirty-seventh resistor R37 is respectively connected to the first end of the thirty-eighth resistor R38 and the first end of the twenty-first capacitor C21 and connected to the SW IN terminal (connected to the MCU), the second end of the thirty-eighth resistor R38, the second end of the twenty-first capacitor C21 and the ground terminal 5 of the switch S1 are respectively connected to the ground terminal GND.

[0084] The second end of the thirty-first resistor R31 is respectively connected to the first end of the thirty-third resistor R33 and the first end of the thirty-second resistor R32 and connected to the SW OUT terminal (connected to MCU), the second end of the thirty-second resistor R32 is connected to the ground terminal GND, the second end of the thirty-third resistor R33 is respectively connected to the gate of the second transistor Q2, the first end of the thirty-sixth resistor R36 and the first end of the twentieth capacitor C20, the second end of the thirty-sixth resistor R36 and the second end of the twentieth capacitor C20 are respectively connected to the ground terminal GND.

[0085] The drain of the second transistor Q2 is connected to the gate of the first transistor Q1 and the first end of the thirtieth resistor R30 respectively, and the source of the second transistor Q2 is connected to the ground terminal GND.

[0086] The drain of the first transistor Q1 is configured to output the output voltage VCC of the energy storage battery and is connected to the first end of the fourth capacitor C4, the second end of the fourth capacitor C4 is connected to the ground terminal GND, and the source of the first transistor Q1 is respectively connected to the second end of the thirtieth resistor R30, the first output terminal 3 of the switch S1 and the second output terminal 4 of the switch S1 and connected to the VBAT terminal (connected to the energy storage battery).

[0087] Q1 and Q2 can be field effect transistors (MOSFETs). The switch S1 can switch the charging and discharging of the energy storage battery through the SW IN terminal and the SW OUT terminal under the control of U12 (MCU).

[0088] The embodiment of the present application uses the motion performance monitoring system of the wearable band 100, and utilizes two gyroscope sensors in the internal circuit of the sensor device 110 of the wearable band 100 to detect the angular velocity (physical data) of the human body parts in time-sharing, merges the information (physical data) of the accelerometer sensor, and transmits it to the MCU for calculation, converting the physical data into kinematic data, which can then be transmitted to the mobile phone or computer (computer device 200) through the Bluetooth module to control and interact with its operating mode, and can provide a reference for athlete training. Empowering athletes' training through digital means helps athletes achieve better results.

[0089] It should be understood that the above embodiments are exemplary and are not intended to include all possible implementations included in the claims. Various modifications and changes may be made on the basis of the above embodiments without departing from the scope of the present disclosure. Similarly, the various technical features of the above embodiments may be arbitrarily combined to form other embodiments of the present application that may not be explicitly described. Therefore, the above embodiments only express several implementations of the present application and do not limit the scope of protection of the patent of this application.

Claims

1. An action performance monitoring system, characterized in that: The performance monitoring system includes a wearable strap and a computer device; The wearable band includes a sensor device mounted on the wearable band; the wearable band is used to be attached to the action part; The sensing device is configured to perform motion measurement on the action part to obtain physical data corresponding to the action part, and convert the physical data into kinematic data and then output it; the action part includes at least one of all movable parts of the body; The computer device is communicatively connected to the sensor device for communication interaction, and the computer device is configured to enter an operation mode corresponding to the kinematic data based at least on the kinematic data.

2. The action performance monitoring system according to claim 1, characterized in that: The sensing device includes a processor, a first gyroscope, a second gyroscope and a communication module; the first gyroscope, the second gyroscope and the communication module are respectively connected to the processor; The first gyroscope and the second gyroscope are configured to perform motion measurement on the action part in a time-sharing manner; the first gyroscope is configured to obtain first physical data corresponding to the action part, and the second gyroscope is configured to obtain second physical data corresponding to the action part; The processor is configured to determine kinematic data based at least on the first physics data and the second physics data; The communication module is configured to output the kinematic data.

3. The action performance monitoring system according to claim 2, characterized in that: The communication module includes a Bluetooth module.

4. The action performance monitoring system according to claim 2, characterized in that: The sensing device further comprises an accelerometer; the accelerometer is connected to the processor; The accelerometer is configured to measure the motion of the action part to obtain third physical data related to the action part; The processor is configured to determine kinematic data based on at least the first physics data, the second physics data and the third physics data.

5. The action performance monitoring system according to claim 2, characterized in that: The sensing device further comprises a strap switch; the strap switch is connected to the processor; The strap switch adopts a key switch and is configured to control the power on and off of the sensing device and the start and stop of the motion measurement of the action part.

6. The action performance monitoring system according to claim 5, characterized in that: The strap switch is also configured to control the switching of the sports mode.

7. The action performance monitoring system according to any one of claims 2 to 6, characterized in that: The sensor device further comprises a power management module and an energy storage battery module; the power management module is connected to the processor; the energy storage battery module is connected to the power management module; The energy storage battery module is configured to output an energy storage battery output voltage; The power management module is configured to convert the output voltage of the energy storage battery into a supply voltage to power the sensor device.

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