Intelligent wearable device for breaststroke posture angle monitoring

Abstract

The invention provides an intelligent wearable device for breaststroke posture angle monitoring, and belongs to the technical field of sports biomechanics and intelligent wearable equipment.The intelligent wearable device comprises a flexible wearable structure and a monitoring mechanism, and the monitoring mechanism is fixedly connected to the flexible wearable structure; the monitoring mechanism comprises an inertial measurement module, a signal processing module and a wireless communication module, the inertial measurement module is connected with the signal processing module through a flexible flat cable, the signal processing module is connected with the wireless communication module through a communication interface, and the inertial measurement module comprises a triaxial accelerometer and a triaxial gyroscope. Acceleration and angular velocity data generated in the body movement process are collected in real time. According to the intelligent wearable device for breaststroke attitude angle monitoring, attitude data can be collected in the breaststroke process, and quantitative feedback and optimized guidance of the breaststroke action technology are achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of sports biomechanics and smart wearable devices, and particularly relates to a smart wearable device for monitoring the posture angle of breaststroke. BACKGROUND

[0002] Swimming, as a historical and popular competitive and fitness sport, is divided into four basic strokes in international standard competitions: freestyle, breaststroke, backstroke and butterfly. Each stroke has unique technical characteristics and movement requirements, and breaststroke stands out among the many strokes due to its unique technical structure. Breaststroke is the only stroke among the four that requires frequent head-up breathing, and its movement rhythm is complex and variable, with a unique technical structure. Compared with freestyle, backstroke and butterfly, breaststroke has relatively low propulsion efficiency and the overall speed is the slowest.

[0003] Traditional breaststroke training methods mainly rely on manual observation or video analysis. Manual observation has obvious limitations. The naked eye of the coach is easily affected by subjective factors, and different coaches may have different evaluation standards for the movement. Moreover, it is difficult to accurately capture subtle changes in movement. At the same time, manual observation cannot provide real-time feedback on movement information, and the athlete cannot immediately understand the problems in their movement and make adjustments. Although video analysis can record the movement process of the athlete, it has a large delay and needs to be analyzed after playback after training, which cannot provide real-time guidance to the athlete to improve their movement. In addition, video analysis requires post-processing such as editing and labeling of the video, which is cumbersome to operate, and cannot provide quantitative data support, making it difficult to meet the needs of scientific training.

[0004] The application of existing general swimming posture monitoring devices in breaststroke training also has many shortcomings. These devices mostly cannot accurately capture the unique posture changes of breaststroke, and lack specificity. For example, sports watches mainly monitor general indicators such as heart rate, movement distance and movement time through built-in sensors, and cannot effectively monitor key posture parameters such as the angle between the body and the horizontal plane in breaststroke. Although goggles sensors can obtain some movement data, they are more focused on the analysis of freestyle strokes, and have limited real-time monitoring and analysis capabilities for the complex body posture of breaststroke. In particular, there is no monitoring device for the periodic fluctuations and angle changes of breaststroke, making it difficult to meet the needs of scientific training of breaststroke. SUMMARY

[0005] The present application aims to provide a smart wearable device for monitoring the posture angle of breaststroke, which can collect posture data during breaststroke and realize quantitative feedback and optimization guidance for breaststroke movement techniques.

[0006] In order to achieve the above object, the application provides a kind of intelligent wearable device of breaststroke posture angle monitoring, the device includes flexible wearable structure and monitoring mechanism, the monitoring mechanism is fixedly connected on flexible wearable structure, the monitoring mechanism includes inertial measurement module, signal processing module, wireless communication module, the inertial measurement module is connected with signal processing module by flexible flat cable, the signal processing module is connected with wireless communication module by communication interface, the inertial measurement module includes three-axis accelerometer, three-axis gyroscope, and acceleration and angular velocity data generated in the process of body movement are collected in real time respectively.

[0007] Preferably, the device further includes a power module and an external terminal device, the power module is electrically connected with the inertial measurement module, the signal processing module and the wireless communication module respectively.

[0008] Preferably, the signal processing module includes an algorithm model for identifying the breaststroke action phase, the breaststroke action identification includes four phases of lifting hands, collecting legs, kicking legs and floating, and the signal processing module filters and solves the posture of the data collected by the inertial measurement module.

[0009] Preferably, the wireless communication module transmits data to the external terminal device through wireless transmission technology, and the wireless transmission technology includes Bluetooth, near field communication or low frequency wireless transmission.

[0010] Preferably, the flexible wearable structure includes a waterproof elastic band or a skin-adhesive silicone base, and the fixed monitoring mechanism is not easy to displace and has minimized water resistance during swimming.

[0011] Preferably, the filtering process includes low-pass filtering and Kalman filtering, and the posture solving process includes quaternion fusion and complementary filtering.

[0012] Preferably, the signal processing module outputs a breaststroke action phase marker, and outputs an angle curve graph and a breaststroke action phase segmentation label in real time.

[0013] Therefore, the application adopts the above-mentioned intelligent wearable device for monitoring the breaststroke posture angle, and the technical effects are as follows:

[0014] 1. The data collected in real time by the IMU module can be directly used for analysis after processing, which greatly improves the efficiency and objectivity of posture analysis, and realizes the automatic, real-time and quantitative identification of breaststroke posture changes.

[0015] 2. The angle between the swimmer's body longitudinal axis and the horizontal plane is monitored in real time, which provides quantitative data for key technical actions such as whether the posture is streamlined, whether the head is too high, whether the legs are reasonable, etc. in breaststroke, helps the athletes to correct unreasonable posture in time, optimizes the technical action, thereby effectively reduces the wave resistance and shape resistance, and improves the propulsion efficiency.

[0016] 3. The built-in recognition algorithm can distinguish between different stages of the breaststroke, allowing coaches and athletes to make precise adjustments to the rhythm, coordination, and proportion of the gliding phase, thereby enhancing the targeting and efficiency of training.

[0017] 4. Through the wireless communication module, motion data can be synchronously sent to the coach terminal or mobile device, presenting a visual angle curve and motion cycle diagram, which facilitates on-site real-time guidance and significantly improves the practicality in training scenarios. Attached Figure Description

[0018] Figure 1 This is a system structure block diagram of the present invention;

[0019] Figure 2 This is a schematic diagram of the attitude angle monitoring device of the present invention being worn;

[0020] Figure 3 This is a diagram showing the changes in posture angles during the breaststroke stroke cycle.

[0021] Figure 4 This is a flowchart illustrating the overall workflow of the present invention.

[0022] Figure Labels

[0023] 1. IMU module; 2. Signal processing module; 3. Wireless communication module; 4. Power supply module. Detailed Implementation

[0024] The technical solution of the present invention will be further described below with reference to the accompanying drawings and embodiments.

[0025] Unless otherwise defined, the technical or scientific terms used in this invention shall have the ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains.

[0026] Example 1

[0027] like Figure 1 As shown, this invention provides a smart wearable device for monitoring the angle of a swimmer's breaststroke posture, comprising a flexible wearable structure and a monitoring mechanism, the monitoring mechanism being fixedly connected to the flexible wearable structure. This device can measure in real time the change in the angle between the swimmer's body and the horizontal plane during the breaststroke, identify key movement stages, and provide data feedback for optimizing technique and reducing drag.

[0028] The monitoring system includes an inertial measurement module, a signal processing module 2, and a wireless communication module 3. The inertial measurement module uses a six-axis IMU module 1, such as the MPU-6050, which includes a three-axis accelerometer and a three-axis gyroscope. This module is fixed to the swimmer's back near the midpoint of the line connecting the shoulder blades and collects acceleration and angular velocity data of the body in real time at a frequency of 50-100Hz.

[0029] The signal processing module 2 includes an algorithm model for identifying the phases of the breaststroke movement, which marks the phases of the breaststroke movement such as lifting the hands, floating, and bringing the legs together. The signal processing module 2 outputs the breaststroke movement phase markers for real-time output of the angle curve graph and the breaststroke movement phase segmentation labels. The signal processing module 2 is built into the device and uses a low-power microprocessor to filter and process the data collected by the IMU module 1. The collected data is low-pass filtered and Kalman filtered by the built-in processor to eliminate noise interference caused by water flow disturbance, impact vibration, etc., and to improve the accuracy and stability of the attitude data. Through quaternion fusion or complementary filtering algorithm, the angle between the body longitudinal axis and the gravity direction, i.e. the angle between the body and the horizontal plane, is calculated.

[0030] The wireless communication module 3 integrates a low-power Bluetooth BLE communication module to send the processed attitude angle data and movement phase recognition results to external terminal equipment, and at the same time, supports receiving feedback instructions from the terminal equipment to realize two-way interaction.

[0031] The device also includes a power module 4 and an external terminal device. The power module 4 uses a lithium polymer battery to power the IMU module 1, signal processor module, and wireless communication module 3, ensuring the stability of the device during long-term underwater operation.

[0032] As shown in Figure 2 The flexible wearable structure realizes "non-inductive" stable fitting of the device and the human back through scientific material selection and fine design. The device uses waterproof elastic straps or medical-grade silicone bases, combined with neoprene rubber main materials to ensure accurate fixation on both sides of the spine below the scapula (avoiding the spine protrusion), while the elastic deformation can disperse pressure and reduce skin friction, and the waterproof feature ensures the safety of underwater use. The device has a long arc shape overall, with rounded edges that fit the back contour, significantly reducing water flow impact resistance when swimming, and effectively isolating local vibration interference caused by arm strokes. The device surface can be designed with a waterproof coating to ensure underwater safety, and the adjustable magic tape or elastic band design of the fixing structure further adapts to users of different body types, ensuring that the IMU module 1 is always in the optimal monitoring position, thereby stably capturing the floating and lowering, lifting and breathing, and other whole-body pitching and rolling movements after the kick and leg clamping, providing high-precision attitude data for athletes while maximizing training comfort and movement freedom.

[0033] The working process of the device is: attitude collection, data preprocessing, attitude calculation and angle calculation, key movement phase identification, data wireless transmission, real-time feedback and visualization.

[0034] The IMU module 1 is fixedly installed on the back or chest of the swimmer. The three-axis accelerometer and three-axis gyroscope collect acceleration and angular velocity data generated during the body movement in real time without affecting the breaststroke action. The collected data is filtered by the built-in processor to eliminate noise interference caused by water flow disturbance, impact vibration, etc., to improve the accuracy and stability of the attitude data. The attitude solving algorithm is used to calculate the angle between the body longitudinal axis and the gravity direction, i.e. the angle between the body and the horizontal plane. The trend of the change of the attitude angle with time is analyzed jointly with the acceleration signal, and a specific algorithm model is used to identify and mark the key stages in the breaststroke technical action cycle. The angle change data and action stage identification results are sent to the external terminal by using low-power Bluetooth, near-field communication or water surface synchronization. The receiving end generates visual graphics after analyzing the data, which is used to assist coaches and athletes in analyzing technical actions and optimizing attitude control.

[0035] As shown in Figure 4 , the IMU module 1 collects pitch angle and roll angle data in human action (breaststroke posture) in real time and transmits them to the processing module; the processing module analyzes the attitude data, identifies the action cycle, and obtains the identification result; the external terminal device receives the identification result for display or prompt, and can also send feedback instructions or prompt information to the processing module through the wireless communication module to realize two-way data transmission, and the whole process forms a complete closed loop from data collection, processing to feedback.

[0036] Figure 3 It is a schematic diagram of the change of the attitude angle in the breaststroke action cycle. The horizontal axis covers one complete breaststroke action cycle: hand stroke, head up for breathing, hand extension, head down for leg collection, kick and glide, and float. The vertical axes are pitch angle and roll angle respectively. The pitch angle reflects the forward and backward inclination of the body, and the positive value is head up and the negative value is head down. The roll angle reflects the left and right inclination of the body, and the positive and negative values represent left and right inclination respectively.

[0037] In the hand stroke stage, the pitch angle changes close to horizontal, and the body remains horizontal, laying the foundation for the hand stroke. The angle almost has no obvious fluctuation. In the head up for breathing stage, the pitch angle changes rapidly upward, the head is lifted, and the upper body is inclined forward. The angle quickly rises from horizontal to peak, which is the maximum pitch angle in the whole process. In the hand extension stage, the pitch angle changes gently downward, the head falls back, and the body gradually flattens. The angle slowly decreases from the peak, which is a transition for the leg collection action. In the leg collection and kick stage, the pitch angle continues to decrease, the body slightly lowers the head to store power, and the angle decreases to below 0°, which reserves power for the kick action. In the kick and glide stage and the float stage, the pitch angle changes stably, the body floats in streamline, and the angle fluctuates in a small range, reducing water resistance to extend the glide distance.

[0038] The roll angle change has small overall fluctuation, which reflects the stability of the body in breaststroke. In the hand and leg phase, the roll angle is close to 0° due to the symmetry of arm rowing and leg kicking. In the breathing phase, the head rotation may cause slight tilting, and the roll angle has small fluctuations of ±5° to ±8°. In the floating phase, the body returns to horizontal, and the roll angle returns to around 0°.

[0039] The IMU collects acceleration and angular velocity data at a frequency of 50-100 Hz, and the processor calculates the attitude angle through a complementary filtering algorithm, identifies the key action phase, and the action recognition standard is:

[0040] The head-up phase: the pitch angle is greater than 15° and lasts more than 0.5 seconds.

[0041] The floating phase: the pitch angle is between -5° and 5°, and the roll angle is less than ±3°, and lasts more than 1 second.

[0042] The Bluetooth sends data to the APP, generates an angle-time curve, and reminds to adjust the action through vibration or indicator light.

[0043] Therefore, the intelligent wearable device for monitoring the breaststroke attitude angle adopts the above-mentioned technology, collects attitude data in real time through the IMU module, analyzes the action cycle through the signal processing module, displays and prompts through the external terminal, and realizes two-way data transmission with the help of wireless communication. The overall technology forms a closed loop feedback, accurately monitors and optimizes the breaststroke action, and effectively improves the training effect.

[0044] Finally, it should be noted that: the above examples are only used to illustrate the technical solutions of the present application but not to limit it, although the present application has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that: it can still modify or equivalently replace the technical solutions of the present application, and these modifications or equivalent replacements also cannot make the modified technical solutions deviate from the spirit and scope of the technical solutions of the present application.

Claims

1. An intelligent wearable device for monitoring the angle of a breaststroke posture, characterized by, The device comprises a flexible wearable structure and a monitoring mechanism fixedly connected to the flexible wearable structure, the monitoring mechanism comprising an inertial measurement module, a signal processing module and a wireless communication module, the inertial measurement module being connected to the signal processing module through a flexible flat cable, the signal processing module being connected to the wireless communication module through a communication interface, the inertial measurement module comprising a three-axis accelerometer and a three-axis gyroscope for respectively collecting acceleration and angular velocity data generated in the process of body movement in real time.

2. The smart wearable device for monitoring the angle of the breaststroke posture according to claim 1, wherein, The device further comprises a power module and an external terminal device, the power module being electrically connected to the inertial measurement module, the signal processing module and the wireless communication module respectively.

3. The smart wearable device for monitoring the angle of the breaststroke posture according to claim 1, wherein The signal processing module comprises an algorithm model for identifying stages of frog swimming actions, the frog swimming action identification including four stages of lifting hands, drawing legs, kicking legs and floating, the signal processing module performing filtering and attitude calculation on the data collected by the inertial measurement module.

4. The smart wearable device for monitoring the angle of the breaststroke posture according to claim 1, wherein, The wireless communication module performs data transmission with the external terminal device through wireless transmission technology, the wireless transmission technology including Bluetooth, near field communication or low frequency wireless transmission.

5. The smart wearable device for monitoring the angle of the breaststroke posture according to claim 1, wherein The flexible wearable structure comprises a waterproof elastic band or a skin-adhesive silicone base, the monitoring mechanism being fixed and not prone to displacement during swimming and having minimized water resistance.

6. The smart wearable device for monitoring the angle of the breaststroke posture according to claim 3, wherein The filtering process includes low-pass filtering and Kalman filtering, and the attitude calculation process includes quaternion fusion and complementary filtering.

7. The smart wearable device for monitoring the angle of the breaststroke posture according to claim 3, wherein The signal processing module outputs labels of stages of frog swimming actions, for outputting an angle curve graph and labels of stages of frog swimming actions in real time.

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