• Dr.T.Geetha
• R. Sowmiya

Yoga is a 5000-year-old practice developed in ancient India by the Indus-Sarasvati civilization. The word yoga means deep association and union of mind with the body. Yoga can be practiced in yoga centres, through personal tutors, and can also be learned on one’s own with the help of the Internet, books, recorded clips, etc. In fast-paced lifestyles, many people prefer self-learning because the abovementioned resources might not be available all the time. But in self-learning, one may not find an incorrect pose. Existing techniques for Yoga pose recognition build classifiers based on sophisticated handcrafted features computed from the raw inputs captured in a controlled environment. These techniques often fail in complex realworld situations and thus, pose limitations on the practical applicability of existing Yoga pose recognition systems. In this project, an AI-based techniques are developed to detect incorrect yoga posture and gives feedback or suggestions to correct yoga poses in real-time video using Two-Stream Networks. The main idea is to build and train YogaNet model that can correctly classify a user's yoga pose by training it on a dataset of yoga images using Convolutional Neural Networks (CNNs) and OpenPose. By using OpenPose, the system generates a 3D joint map of the person’s body, which is then used as input for linear regression to detect the individual yoga pose. The proposed system is suitable for real-time applications, and is expected to be used in fitness centres, yoga studios, and even for personal use. Additionally, the system can also be used to track the progress of yoga practitioners, allowing them to analyse their performance and improve their practice. Furthermore, the proposed system is expected to benefit the yoga industry by providing a low-cost, efficient, and accurate means to detect poses and alert them.

Yoga Tutor: AI based Real-Time Yoga Pose Recognition and Correction System for Enhanced Yoga Practice

"Yoga Tutor: AI based Real-Time Yoga Pose Recognition and Correction System for Enhanced Yoga Practice ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 6, page no.i294-i301, June-2025, Available :http://www.jetir.org/papers/JETIR2506839.pdf

"Yoga Tutor: AI based Real-Time Yoga Pose Recognition and Correction System for Enhanced Yoga Practice ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 6, page no. ppi294-i301, June-2025, Available at : http://www.jetir.org/papers/JETIR2506839.pdf