Standing Long Jump Pose Evaluation Using Key Motion Frames
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Solution Overview
Problem
Current methods for evaluating pose in standing long jump rely heavily on manual observation and expert judgment, leading to inefficiency, subjectivity, and inconsistent results, while sensor-based or image processing solutions often require expensive hardware or complex setups, limiting widespread adoption.
Innovation Solution
A method using body pose estimation techniques to analyze standing long jump videos, extracting key motion frames, and comparing them to preset standard pose parameters to provide automated and objective evaluation results, without the need for wearable sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual observation and expert judgment are used for pose evaluation, then evaluation can be performed without complex hardware, but the evaluation is inefficient and highly subjective
Solution Approach 1:
The patent replaces manual mechanical observation with automated image processing and computer vision algorithms. The system uses pose estimation models to automatically detect and evaluate body positions from video frames, substituting human experts' visual assessment with algorithmic analysis, thereby improving efficiency while maintaining ease of implementation through standard computing hardware
Solution Approach 2:
The evaluation system performs self-assessment by automatically analyzing video data without requiring continuous human intervention. The pose estimation model independently processes video frames, extracts motion parameters, and generates evaluation results, enabling the system to serve itself in the evaluation process while reducing dependency on expert time
2Measurement precision
If sensor-based or image processing solutions are used to improve objectivity, then evaluation becomes more objective, but the hardware cost and system complexity increase
Solution Approach 1:
The patent creates a virtual copy of the physical evaluation process through computer vision. Instead of using physical sensors attached to the body, the system captures visual information via standard cameras and creates digital representations of body pose through image processing algorithms, achieving objective measurement without complex physical hardware
Solution Approach 2:
The system uses standard video recording equipment that can serve multiple purposes - both capturing the jump performance and providing data for pose evaluation. The same camera that records the athletic event also enables automated analysis, eliminating the need for specialized sensors and reducing hardware complexity while maintaining measurement objectivity
3Measurement precision
If comprehensive pose parameters are extracted from all video frames, then evaluation accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The patent extracts only the essential pose parameters needed for evaluation from video frames, rather than processing all possible data. The system identifies and extracts key body joint positions and motion parameters relevant to standing long jump technique, filtering out redundant information to maintain accuracy while reducing computational burden
Solution Approach 2:
The evaluation process is segmented into distinct stages corresponding to different phases of the jump (preparation, takeoff, flight, landing). The system processes video frames by dividing them into these temporal segments and applies pose estimation selectively to key frames representing each phase, reducing overall processing time while maintaining comprehensive evaluation coverage
Data Source
AI summary
Provided is a method for evaluating pose in standing long jump, an electronic device, and a storage medium, relating to the field of computer vision applicable to scenarios of physical education, fitness testing, and training for adolescents. The method includes: generating, for a video frame in a standing long jump video of a target object, a body spatial position, a joint angle, a relative position parameter of a body part and a body moving velocity of the target object in the video frame; extracting key motion frames from the standing long jump video; obtaining a key motion evaluation result of the target object in a key motion frame; and determining a standing long jump pose evaluation result according to the key motion evaluation result of the target object.