AI-integrated weight lifting posture correction and fitness feedback: preventing injuries through intelligent workout supervision

Jinseok Park; Sanghyuk Suh; SeungHyeon Kim; Yangwoo Kim; Yeong Seo Park; Byeong Uk Park; Inkwon Yoon; Yebin Jeong; JongHyeok Han; Hee-Jae Jeon

doi:10.1117/12.2692360

13 March 2024 AI-integrated weight lifting posture correction and fitness feedback: preventing injuries through intelligent workout supervision

Jinseok Park, Sanghyuk Suh, SeungHyeon Kim, Yangwoo Kim, Yeong Seo Park, Byeong Uk Park, Inkwon Yoon, Yebin Jeong, JongHyeok Han, Hee-Jae Jeon

Author Affiliations +

Proceedings Volume PC12838, Biophotonics in Exercise Science, Sports Medicine, Health Monitoring Technologies, and Wearables V; PC128380A (2024) https://doi.org/10.1117/12.2692360
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

We developed an innovative platform that integrates camera sensors into workout equipment, utilizing deep learning and artificial intelligence techniques to provide real-time feedback on users' workout postures. The platform analyzes recorded video data using OpenPose algorithms to identify the workout being performed and compare it with the correct form. Discrepancies are instantly reported to the user for immediate correction and improvement. The platform also measures supplemental workout information and relays it back to the user via a mobile platform. Our goal is to reduce workout-related injuries and provide effective guidance through AI-powered feedback.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jinseok Park, Sanghyuk Suh, SeungHyeon Kim, Yangwoo Kim, Yeong Seo Park, Byeong Uk Park, Inkwon Yoon, Yebin Jeong, JongHyeok Han, and Hee-Jae Jeon "AI-integrated weight lifting posture correction and fitness feedback: preventing injuries through intelligent workout supervision", Proc. SPIE PC12838, Biophotonics in Exercise Science, Sports Medicine, Health Monitoring Technologies, and Wearables V, PC128380A (13 March 2024); https://doi.org/10.1117/12.2692360

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KEYWORDS

Injuries

Algorithm development

Artificial intelligence

Deep learning

Detection and tracking algorithms

Education and training

Evolutionary algorithms

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