Wearable device for recognizing human body motion posture

Abstract

The invention discloses wearable equipment for recognizing human body motion postures, and relates to the technical field of sports equipment. The device comprises a shell upper cover, a shell lower cover is clamped to the rear end of the shell upper cover, and a circuit board is arranged in the shell lower cover; the circuit board comprises a microcontroller, an inertial measurement unit, power management modules and a Bluetooth communication module, the microcontroller is arranged on one side below the front end face of the circuit board, the inertial measurement unit is arranged in the center of the front end face of the circuit board, and the two sets of power management modules are located on the two sides above the front end face of the circuit board respectively; the Bluetooth communication module is arranged on the other side below the front end face of the circuit board. According to the invention, the motion posture of the human body is detected through the microcontroller and the inertial measurement unit, and the problems of insufficient detection precision, lack of multi-dimensional posture parameter analysis and high energy consumption in the prior art are solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of sports equipment, and in particular relates to a wearable device for recognizing human motion postures. Background Art

[0002] Sports equipment is generally also called fitness equipment. It refers to the general term for equipment used to assist people in exercising. The most common sports equipment include treadmills, rowing machines, etc. During the use of treadmills, wearable recognition devices are usually used to facilitate the adjustment of the athlete's exercise posture.

[0003] The existing document with publication number CN112244820A discloses a method for measuring running gait using a three-axis accelerometer, including: performing short-time domain spectrum analysis on the acquired real-time acceleration data to obtain the frequency band with the strongest energy entropy; constructing a filter based on the frequency band with the strongest energy entropy to denoise the acceleration data; solving peak point data based on the denoised acceleration data; and calculating the running gait based on the acceleration data and peak point data.

[0004] However, there are the following defects during use: First, due to the high noise of traditional accelerometers, the detection data accuracy is low, making it difficult to accurately capture complex posture changes. Second, such systems usually require high computing power and battery energy and cannot achieve long-term operation in low-power devices. In addition, most existing technologies can only detect a single posture parameter, such as step frequency or step length, and it is difficult to achieve real-time analysis of multiple posture parameters such as landing method, eversion angle, and flight time.

[0005] To this end, we provide a wearable device for recognizing human motion posture to solve the above problems. Summary of the Invention

[0006] The purpose of the present invention is to provide a wearable device for identifying human motion posture, which realizes the detection of human motion posture through a microcontroller and an inertial measurement unit, solving the problems of insufficient detection accuracy, lack of multi-dimensional posture parameter analysis and high energy consumption in the existing field.

[0007] To solve the above technical problems, the present invention is achieved through the following technical solutions:

[0008] The present invention provides a wearable device for recognizing human motion postures, comprising an upper housing cover, a lower housing cover being snap-connected to the rear end of the upper housing cover, a circuit board being disposed inside the lower housing cover, and a Type-C connector being disposed on the lower surface of the circuit board;

[0009] The circuit board includes a microcontroller, an inertial measurement unit, a power management module and a Bluetooth communication module. The microcontroller is arranged on one side below the front end surface of the circuit board, the inertial measurement unit is arranged at the center position of the front end surface of the circuit board, the power management module is arranged in two groups and is respectively located on both sides above the front end surface of the circuit board, and the Bluetooth communication module is arranged on the other side below the front end surface of the circuit board.

[0010] The present invention is further configured as follows: positioning holes are opened around the front end surface of the shell lower cover, positioning posts are loosely fitted inside the positioning holes, and the front ends of the positioning posts are fixedly connected to the four sides of the rear end surface of the shell upper cover.

[0011] The present invention is further configured as follows: a buckle is elastically connected to the rear end surface of the lower cover of the housing.

[0012] The present invention is further configured as follows: the microcontroller is electrically connected to the inertial measurement unit via an I2C interface, and the microcontroller has a built-in RSIC-V4C processor.

[0013] The present invention is further configured as follows: the inertial measurement unit includes a three-axis accelerometer, a three-axis gyroscope and a digital motion processor.

[0014] The present invention is further configured as follows: the power management module includes a lithium battery and a power management IC.

[0015] The present invention has the following beneficial effects:

[0016] The present invention provides a microcontroller and an inertial measurement unit, and fuses data through the three-axis accelerometer and three-axis gyroscope in the inertial measurement unit, so as to accurately capture and analyze complex foot posture changes, such as landing method, eversion angle, etc., and realize real-time analysis of multi-dimensional posture parameters. In addition, through the low-power design of the microcontroller and the cooperation of the power management module, it can achieve significant energy consumption reduction while ensuring high performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 A front view structural diagram of a wearable device for recognizing human motion posture.

[0019] Figure 2 It is a side view of the overall structure of the present invention.

[0020] Figure 3It is a front disassembled view of the present invention.

[0021] Figure 4 It is a rear disassembled view of the present invention.

[0022] Figure 5 It is a side disassembled view of the present invention.

[0023] Figure 6 It is a front view of the circuit board of the present invention.

[0024] Figure 7 1 is a circuit diagram of the microcontroller of the present invention.

[0025] Figure 8 4 is a circuit diagram of the inertial measurement unit of the present invention.

[0026] Figure 9 This is a circuit diagram of the Type-C of the present invention.

[0027] Figure 10 Flowchart of the present invention.

[0028] In the accompanying drawings, the components represented by the reference numerals are as follows:

[0029] 1-Upper housing cover, 101-Positioning column, 2-Lower housing cover, 3-Snap, 4-Circuit board, 401-Microcontroller, 402-Inertial measurement unit, 403-Power management module, 404-Bluetooth communication module, 5-Type-C. DETAILED DESCRIPTION

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0031] Example 1

[0032] See also Figure 1 、 Figure 2 、 Figure 3 、 Figure 4 、 Figure 5 、 Figure 6 、 Figure 7 、 Figure 8 and Figure 9As shown, the first embodiment of the invention provides a wearable device for identifying human motion posture, including an upper shell cover 1 and a lower shell cover 2. A circuit board 4 is provided inside the lower shell cover 2, and a Type-C5 is provided on the lower surface of the circuit board. The circuit board 4 includes a microcontroller 401, an inertial measurement unit 402, a power management module 403 and a Bluetooth communication module 404. The microcontroller 401 and the inertial measurement unit 402 are used to detect the motion posture of the human body, thereby solving the problems of insufficient detection accuracy, lack of multi-dimensional posture parameter analysis and high energy consumption in the existing system.

[0033] Specifically, the microcontroller 401 is arranged on one side below the front end surface of the circuit board 4. The model of the microcontroller 401 is preferably CH592F. The microcontroller 401 has a built-in RSIC-V4C processor with powerful computing power and low power consumption. The power consumption of the microcontroller 401 in low power mode is less than 2μA, which effectively extends the working time of the device.

[0034] The inertial measurement unit 402 is arranged at the center of the front face of the circuit board 4. The model of the inertial measurement unit 402 is preferably QMA6100P. The inertial measurement unit 402 includes a three-axis accelerometer, a three-axis gyroscope and a digital motion processor. The three-axis accelerometer and the three-axis gyroscope are used to capture the acceleration and angular velocity of the footsteps in real time. The digital motion processor is used to pre-process the data and filter the noise. The sampling frequency of the inertial measurement unit 402 is 800Hz, which can ensure that rapid posture changes can be captured.

[0035] Two power management modules 403 are provided and are located on both sides above the front surface of the circuit board 4. The power management modules 403 include lithium batteries and a power management IC. They provide a stable power supply for the system and are responsible for battery charge and discharge management. The power management modules 403 cooperate with the low power mode of the microcontroller 401 to achieve long-term continuous monitoring.

[0036] The Bluetooth communication module 404 is arranged on one side below the front end surface of the circuit board 4. The Bluetooth communication module 404 is used to upload the detected human body movement posture to the terminal device. The Bluetooth communication module 404 integrates the BLE 4.2 module, and transmits the human footstep posture data to the mobile device through the BLE 4.2 module. The BLE 4.2 module supports data compression and encrypted transmission to ensure the efficiency and security of data transmission.

[0037] Furthermore, positioning holes 201 are provided around the front end surface of the housing lower cover 2, and positioning posts 101 are loosely fitted inside the positioning holes 201. The front ends of the positioning posts 101 are fixedly connected to the rear end surface of the housing upper cover 1.

[0038] A buckle 3 is elastically connected to the rear end surface of the lower cover 2 of the housing.

[0039] Furthermore, the microcontroller 401 is connected to the inertial measurement unit 402 via an I2C bus and integrated with the power management module 403, which is placed in the center of the device to ensure the compactness and stability of the overall structure;

[0040] The inertial measurement unit 402 is fixed near the sole of the foot to ensure the accuracy of data collection;

[0041] The Bluetooth communication module 404 is placed on the top of the device to facilitate signal transmission.

[0042] Example 2

[0043] See also Figure 10 FIG. 1 is a second embodiment of the present invention. This embodiment is based on the previous embodiment, but differs from the previous embodiment in that it further provides a method for detecting a human footstep posture. The specific detection method is as follows:

[0044] S1: Data acquisition: The microcontroller 401 initializes the inertial measurement unit 402 and enters the data acquisition mode. The inertial measurement unit 402 collects the motion data of the footsteps in real time through the three-axis accelerometer and the three-axis gyroscope, and generates acceleration and angular velocity signals;

[0045] S2: Data processing: The digital motion processor built into the inertial measurement unit 402 performs preliminary processing on the raw data, filters out noise, and performs attitude calculation to generate attitude angles in three-dimensional space. The processed data is then transmitted to the microcontroller 401 via the I2C bus for further calculation.

[0046] S3: Posture Recognition: The microcontroller 401 analyzes the posture parameters of each step in real time according to a preset posture recognition algorithm, including landing mode, eversion angle, flight time, contact time, and landing impact force. The algorithm uses a Kalman filter to further optimize the data to improve the accuracy of posture recognition.

[0047] S4: Data transmission and storage: The processed posture data is compressed and transmitted to the mobile device via the Bluetooth communication module 404. The microcontroller 401 also supports local data storage. When the Bluetooth connection is disconnected, the data will be temporarily stored in the internal flash memory and automatically uploaded when the connection is restored.

[0048] S5: Low power mode: When the system detects that the user has been inactive for a long time, the microcontroller 401 will automatically enter low power mode, and the acquisition frequency of the inertial measurement unit 402 will be reduced accordingly to extend the battery life of the device. When new activity is detected, the system will automatically resume normal operation mode.

[0049] Throughout this specification, references to terms such as "one embodiment," "example," or "specific example" indicate that the specific features, structures, materials, or characteristics described in conjunction with that embodiment or example are included in at least one embodiment or example of the present invention. In this specification, schematic representations of these terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0050] The preferred embodiments of the present invention disclosed above are intended only to help illustrate the present invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the present invention to the specific embodiments described. Obviously, many modifications and variations are possible based on the content of this specification. These embodiments are selected and described in detail in this specification to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A wearable device for recognizing human motion posture, comprising an upper housing cover (1), wherein the rear end of the upper housing cover (1) is clamped with a lower housing cover (2), and characterized in that: A circuit board (4) is provided inside the lower cover (2) of the housing, and a Type-C (5) is provided on the lower surface of the circuit board; The circuit board (4) comprises a microcontroller (401), an inertial measurement unit (402), a power management module (403) and a Bluetooth communication module (404), wherein the microcontroller (401) is arranged on one side below the front end surface of the circuit board (4), the inertial measurement unit (402) is arranged at the center of the front end surface of the circuit board (4), and two groups of power management modules (403) are arranged and respectively located on both sides above the front end surface of the circuit board (4), and the Bluetooth communication module (404) is arranged on the other side below the front end surface of the circuit board (4).

2. A wearable device for recognizing human motion posture according to claim 1, characterized in that: Positioning holes (201) are provided around the front end surface of the housing lower cover (2), and positioning posts (101) are loosely fitted inside the positioning holes (201). The front ends of the positioning posts (101) are fixedly connected to the rear end surface of the housing upper cover (1).

3. A wearable device for recognizing human motion posture according to claim 2, characterized in that: A buckle (3) is elastically connected to the rear end surface of the housing lower cover (2).

4. The wearable device for recognizing human motion posture according to claim 1, wherein: The microcontroller (401) is electrically connected to the inertial measurement unit (402) via an I2C interface, and the microcontroller (401) has a built-in RSIC-V4C processor.

5. The wearable device for recognizing human motion posture according to claim 4, characterized in that: The inertial measurement unit (402) includes a three-axis accelerometer, a three-axis gyroscope and a digital motion processor.

6. The wearable device for recognizing human motion posture according to claim 1, characterized in that: The power management module (403) includes a lithium battery and a power management IC.

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