Analysis of Competition and Training Videos of Speed Climbing Athletes Using Feature and Human Body Keypoint...

Area of Science:

• Sports Science
• Biomechanics
• Human Movement Analysis

Background:

• Climbing has evolved into distinct disciplines, increasing demands on athletes and coaches.
• Current speed climbing analysis relies on video and trainer experience, lacking objective measurement.
• The Olympic inclusion of speed climbing necessitates advanced performance analysis tools.

Purpose of the Study:

• To present a novel method for analyzing speed climbing motion sequences and techniques.
• To support trainers and athletes with objective data for performance evaluation.
• To enhance the continuous improvement of speed climbing through technological integration.

Main Methods:

• Combining prerecorded video footage with feature and human body keypoint detection algorithms.
• Implementing image processing steps to convert movement data into significant analytical parameters.
• Utilizing standardized boundary conditions for consistent analysis.

Main Results:

• The developed method enables detailed analysis of speed climbing techniques and motion sequences.
• It facilitates the detection of errors and provides comparable results by studying professional athletes.
• The system supports the evaluation of training and competition performance.

Conclusions:

• The presented method offers a powerful tool for analyzing speed climbing.
• A user-friendly interface supports trainers and athletes in evaluating motion sequences.
• This technology is crucial for the advancement of speed climbing performance and training.