AI-Powered Exercise Correction and Monitoring System using Pose Estimation

The study presents an AI-Powered Exercise Correction and Monitoring System designed to enhance the quality and safety of physical training through real-time posture analysis. Utilizing camera-based body alignment assessment, the system offers immediate feedback on exercise performance, with a particular focus on movements such as dumbbell curls. It is especially beneficial for fitness enthusiasts, beginners, and individuals undergoing rehabilitation, as it helps reduce the risk of injury and improve workout efficiency. By comparing a user's posture and movement to ideal exercise patterns, the system identifies errors and provides timely correction suggestions. Additionally, it enables users to track their progress over time, fostering consistency and motivation. The system is user-friendly, cost-effective, and does not require specialized equipment, making it an accessible alternative to personal training. Overall, this approach promotes safe, effective, and sustainable fitness habits.

Authors

Publication Details

Published
2025-05-14
DOI
https://doi.org/10.1109/icpcsn65854.2025.11035165
Primary Topic
Human Pose and Action Recognition
Type
article
Field-Weighted Citation Impact
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article

AI-Powered Exercise Correction and Monitoring System using Pose Estimation

S. Rashmi, M.R. Sanjana, V. Vaidya, U S Navaneetha
Human Pose and Action Recognition
article

AI-Powered Exercise Correction and Monitoring System using Pose Estimation

S. Rashmi, M.R. Sanjana, V. Vaidya, U S Navaneetha
article en

Abstract

The study presents an AI-Powered Exercise Correction and Monitoring System designed to enhance the quality and safety of physical training through real-time posture analysis. Utilizing camera-based body alignment assessment, the system offers immediate feedback on exercise performance, with a particular focus on movements such as dumbbell curls. It is especially beneficial for fitness enthusiasts, beginners, and individuals undergoing rehabilitation, as it helps reduce the risk of injury and improve workout efficiency. By comparing a user's posture and movement to ideal exercise patterns, the system identifies errors and provides timely correction suggestions. Additionally, it enables users to track their progress over time, fostering consistency and motivation. The system is user-friendly, cost-effective, and does not require specialized equipment, making it an accessible alternative to personal training. Overall, this approach promotes safe, effective, and sustainable fitness habits.

Gender equality
Openalex Percentile: Top 88%
Human Pose and Action Recognition
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AI-Powered Exercise Correction and Monitoring System using Pose Estimation — S. Rashmi, M.R. Sanjana, et al. · (2025) | TGRS Research Map | TGRS