Smartfit: Artificial Intelligence-Powered Exercise Recognition
The growing need for smart fitness apps requires precise exercise recognition and real-time feedback. Conventional workout tracking techniques are imprecise and non-interactive, resulting in incorrect exercise form and injuries. To overcome this, SmartFit presents an AI-based exercise recognition system based on Mediapipe and OpenCV for real-time pose estimation and movement analysis. The system detects significant body landmarks, computes joint angles, and recognizes exercises using machine learning algorithms. An intuitive interface offers immediate feedback, maintaining correct form and engaging the user. The suggested system allows for personalized training, reduces risk of injury, and optimizes exercise efficiency. Experimental results yield accuracy in movement recognition that is high, with implications for fitness and rehabilitation applications.
Authors
- Divya Rani
- T. S.
- Naveen Raj K
Institutions
- Velammal Medical College Hospital and Research Institute (IN)
Publication Details
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1109/iccies63851.2025.11033069
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00