Motion Posture Measurement and Training System

Abstract

A motion posture measurement and training system includes at least an AI server, a photography device, a motion data acquisition device, and a terminal device. The AI ​​server connects the photography device, the motion data acquisition device, and the terminal device, and includes a 3D posture remodeling module, a virtual scenario simulation module, a standard model comparison module, a biomechanical analysis module, a quantitative evaluation report module, and an expert system guidance module. The photography device is a multi-angle image acquisition device equipped with a surround-type support and multiple cameras. The motion data acquisition device is used to detect various physiological and motion data of the athlete. The terminal device is used by the user to configure system operations and view information displayed by the AI ​​server. This work compares athletes' postures and movements with those of professional athletes to provide real-time posture correction guidance, physical quantitative comparison data, exercise result simulation, evaluation reports, and training suggestions. This allows athletes to use visual feedback training and quantitative data to more clearly understand their subtle movement and force application issues during exercise, and to continuously track their progress and learning efficiency, significantly shortening the learning curve to meet the needs of all athletes to improve their athletic performance and correct their exercise posture.

Claims

1. A motion posture measurement and training system, comprising at least an AI server, a photography device, a motion data acquisition device, and a terminal device: the aforementioned AI server is connected to the aforementioned photography device, motion data acquisition device, and terminal device, and the aforementioned AI server is equipped with a 3D posture remodeling module, a virtual scenario simulation module, a standard model comparison module, a biomechanical analysis module, a quantitative evaluation report module, and an expert system guidance module; The aforementioned 3D posture remodeling module obtains 3D posture data of athletes by using 3D skeleton reconstruction technology to reconstruct their movements from multi-angle image data. This 3D skeleton reconstruction technology detects key points in the human body, identifies the joints of major posture changes such as the shoulders, elbows, hips, and knees, and transforms the human body into a simplified stick figure structure. The aforementioned virtual scenario simulation module simulates virtual sports scenes using digital twin technology based on data provided by the aforementioned photography and motion data acquisition equipment. The aforementioned standard model comparison module pre-builds a standard motion model database and personalized models. It then overlays the athlete's 3D posture data obtained by the aforementioned 3D posture remodeling module onto the aforementioned personalized models to obtain personalized 3D posture data. Finally, it performs a physical quantitative comparison between the aforementioned standard motion model database and the personalized 3D posture data. The aforementioned biomechanical analysis module uses biomechanical analysis technology to diagnose all abnormal posture data of athletes, based on the 3D posture remodeling module and the abnormal posture data of athletes obtained from the standard model comparison module. The aforementioned quantitative assessment report module systematically analyzes all historical physical quantitative measurement data and difference indicators from the 3D posture remodeling module, virtual scenario simulation module, standard model comparison module, and biomechanical analysis module to generate various quantitative performance tables and trend charts. The aforementioned expert system guidance module uses AI to systematically analyze all data from the 3D posture remodeling module, virtual scenario simulation module, standard model comparison module, biomechanical analysis module, and quantitative assessment report module to provide expert-level assessment and comprehensive guidance on athletes' athletic performance. The aforementioned photography equipment is a multi-angle image capture device, which is equipped with a surround support and multiple cameras; the aforementioned motion data capture device is a device for detecting various physical and motion data of athletes; the aforementioned terminal device is for users to set up system operations and view the information displayed by the aforementioned AI server.

2. The motion posture measurement and training system according to claim 1, wherein the aforementioned virtual scenario simulation module combines terrain and climate data to simulate and extrapolate various competition situations.

3. According to the motion posture measurement and training system described in claim 1, the biomechanical analysis technology of the aforementioned biomechanical analysis module comprehensively analyzes the athlete's 3D posture data and posture abnormality data in multiple directions, including angle differences, temporal rhythm, center of gravity transfer, and trajectory overlap, to clearly present the athlete's posture abnormality in a physical quantitative way; the aforementioned angle difference biomechanical analysis technology refers to calculating the angle changes of the limbs or equipment on both sides of the joint; the aforementioned temporal rhythm biomechanical analysis technology refers to segmenting the movement behavior and calculating the rhythm changes; the aforementioned center of gravity transfer biomechanical analysis technology refers to estimating the lateral displacement of the center of mass by skeletal displacement to determine whether there is excessive lateral displacement or center of gravity transfer obstruction; the aforementioned trajectory overlap biomechanical analysis technology refers to comparing the athlete's limb movement trajectory with the aforementioned standard model comparison module's limb movement trajectory and calculating the geometric residual value to assess whether the athlete's movement meets the coach's standards; the aforementioned biomechanical analysis technology is a dynamic time warping technology.

4. The motion posture measurement and training system according to claim 1, wherein the aforementioned expert system guidance module includes at least the following functions: final performance correlation analysis, posture defect diagnosis, automated correction annotation, and training plan suggestion; the aforementioned final performance correlation analysis function can provide digital coaching correction guidance by combining the correlation between initial velocity, elevation angle, backspin, and posture; the aforementioned posture defect diagnosis function can provide digital coaching correction guidance by detecting incorrect postures; the aforementioned automated correction annotation function can provide digital coaching correction guidance by directly overlaying standard movements on a 3D skeleton diagram; the aforementioned training plan suggestion function integrates all relevant training information based on the system's analysis of the athlete's shortcomings and provides planning and training suggestions based on the athlete's condition.

5. The motion posture measurement and training system according to claim 1, wherein the aforementioned motion data acquisition device includes at least a fitness tracker, a thermal imaging detector, and a foot pressure detector.

6. The motion posture measurement and training system according to claim 1, wherein the aforementioned terminal device may be a screen, computer, mobile phone or tablet computer.

Images