AI Based Fitness Game - Fittronix
Article Sidebar
Main Article Content
Abstract: The integration of intelligent technology into fitness equipment is transforming how individuals train, track progress, and prevent injuries. This paper examines FitTronix, a smart weight training system that delivers real-time feedback, personalized tracking, and advanced biomechanical monitoring. The study evaluates its impact on performance and injury reduction using data from user surveys, expert interviews, and system logs. Results show notable improvements in form accuracy, training consistency, and muscle engagement, with a marked decrease in injuries, particularly among beginners.
FitTronix’s AI-driven analytics also support personalized fitness programming. The paper concludes by emphasizing its potential to boost training safety and efficiency, calling for further long-term studies and broader adoption of smart gym technologies.
Downloads
References
Kraemer, W.J., Ratamess, N.A., and French, D.N. (2017). Resistance training for health and performance. Current Sports Medicine Reports.
McGill, S.M. (2020). Low back disorders: Evidence-based prevention and rehabilitation. Human Kinetics.
Grgic, J., Schoenfeld, B.J., Davies, T.B., and Lazinica, B. (2021). Effects of resistance training performed to repetition failure on muscular strength: A systematic review and meta-analysis. Journal of Sports Science & Medicine.
K. Kim, S. Park, and J. Lee, “AI-Based Mobile App for Real-Time Posture Correction during Squats Using Deep Learning”.
FitnessForce, Top 10 Ways AI Is Transforming Day-to-Day Gym Operations (Backed by Real-World Use Cases), *FitnessForce Blog*, 2024

This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in our journal are licensed under CC-BY 4.0, which permits authors to retain copyright of their work. This license allows for unrestricted use, sharing, and reproduction of the articles, provided that proper credit is given to the original authors and the source.