• Prathamesh Rohokale
• Vishwajeet Patil
• Ameya Shinde
• Shivcharan Waghmare
• Abhijeet Kurhe,Prof. Sweta Wankhade

Imagine a world where your workout buddy is a virtual AI coach, analyzing your every move and providing real-time feedback to optimize your form and maximize your results. This vision is becoming increasingly possible thanks to the convergence of AI, computer vision, and sensor technology, paving the way for a revolution in exercise experiences. This paper comprehensively surveys the application of AI-powered body posture detection and motion tracking for enhanced exercise experiences. We examine existing research employing techniques like OpenPose, MediaPipe, computer vision, and large-scale pose estimation datasets (MSCOCO) alongside depth-sensing technologies like Kinect. Analyzing the strengths and limitations of each approach, we showcase the potential for real-time posture correction, exercise tracking, personalized recommendations, and tailoring exercise routines based on individual biomechanics. We identify key challenges and future directions, emphasizing the need for improved model accuracy, personalized feedback mechanisms, and integration with other exercise technologies. This survey underlines the transformative potential of AI in revolutionizing exercise experiences, promoting effectiveness, safety, and motivation for a healthier lifestyle.

"Body Posture Detection and Motion Tracking using AI for Exercise", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 12, page no.e186-e189, December-2023, Available :http://www.jetir.org/papers/JETIR2312425.pdf

"Body Posture Detection and Motion Tracking using AI for Exercise", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 12, page no. ppe186-e189, December-2023, Available at : http://www.jetir.org/papers/JETIR2312425.pdf