SmartFit: AI-Powered Training Recommendations with Biometric Integration
This research introduces SmartFit, a state-of-the-art technology that seamlessly integrates biometric data and AI-powered training recommendations. SmartFit monitors the user's pulse rate, oxygen saturation, and muscle activity in real time. Subsequently, it implements machine learning algorithms to develop customized training regimens. This ongoing adjustment to the user's evolving fitness levels and objectives guarantees that the workout regimens are both highly effective and customized to their unique requirements. The proposed system is designed to optimize exercise efficacy, promote extended engagement in fitness activities, and improve user satisfaction. The novel method significantly enhanced the fitness ratings and overall satisfaction of participants in comparison to more conventional forms of exercise, as evidenced by a three-month pilot study. The results demonstrate the potential for SmartFit's data-driven, individualized training recommendations to transform the fitness industry.
Authors
- Veer Sudheer Goud
- G. Manikandan
- Seeniappan Kaliappan (ORCID: https://orcid.org/0000-0002-5021-8759)
- A Suganya
- Burri Naresh
- Firoj Parwej
Institutions
- Lovely Professional University (IN)
- Karpagam Academy of Higher Education (IN)
- Saveetha University (IN)
Publication Details
- Published
- 2024-10-04
- DOI
- https://doi.org/10.1109/gcat62922.2024.10923848
- Citations
- 6
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.72