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This program addresses the shortfall in advanced technology application in swim training by introducing an innovative method that combines swimmer videos with AI for optimizing swimming starts. Utilizing common devices like smartphones for recording, alongside OpenCV for video processing and MediaPipe for accurate landmark detection, it navigates challenges in video input and output efficiently. The effectiveness of this approach was validatedthrough two experiments focusing on the technology's accuracy and its impact on training quality. Results highlightedthe technology's positive contribution to swim training, emphasizing its potential to revolutionize training techniques.This non-invasive, accessible solution emphasizes critical race aspects and offers scope for continuous innovation and improvement, demonstrating significant promise for enhancing athletic training across all levels.
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Cao et al. (Sat,) studied this question.
www.synapsesocial.com/papers/68e73cb2b6db6435876b5c5c — DOI: https://doi.org/10.5121/csit.2024.1405116
Daniel C. Cao
Yu Sun
California State Polytechnic University
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