AI Based Fitness Game - Fittronix | IJLTEMAS
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AI Based Fitness Game - Fittronix

Authors

Bharath A

Dayananda Sagar Academy of Technology & Management, Bengaluru, India (IN)

Prof. A Manusha Reddy

Dayananda Sagar Academy of Technology & Management, Bengaluru, India (IN)

Gowrishankar N

Dayananda Sagar Academy of Technology & Management, Bengaluru, India (IN)

Hursh

Dayananda Sagar Academy of Technology & Management, Bengaluru, India (IN)

Bharat V P

Dayananda Sagar Academy of Technology & Management, Bengaluru, India (IN)

Article Information

DOI: 10.51583/IJLTEMAS.2025.140500030

Subject Category: Artificial Intelligence in Healthcare and Fitness Technology

Volume/Issue: 14/5 | Page No: 241-245

Publication Timeline

Submitted: 2025-06-06

Published: 2025-06-06

Abstract

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.

Keywords

Personalized healthcare, fitness tracking, wearable sensors, machine learning, data analytics, remote health monitoring, IoT, AI-driven recommendations

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References

1. Kraemer, W.J., Ratamess, N.A., and French, D.N. (2017). Resistance training for health and performance. Current Sports Medicine Reports. [Google Scholar] [Crossref]

2. McGill, S.M. (2020). Low back disorders: Evidence-based prevention and rehabilitation. Human Kinetics. [Google Scholar] [Crossref]

3. 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. [Google Scholar] [Crossref]

4. K. Kim, S. Park, and J. Lee, “AI-Based Mobile App for Real-Time Posture Correction during Squats Using Deep Learning”. [Google Scholar] [Crossref]

5. FitnessForce, Top 10 Ways AI Is Transforming Day-to-Day Gym Operations (Backed by Real-World Use Cases), *FitnessForce Blog*, 2024 [Google Scholar] [Crossref]

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