Virtual Gym Tracker: AI Pose Estimation
Milind Eknath Rane, Ameya Date, Vaishnavi Deshmukh, Prutha Deshpande, Aryan Dharmadhikari · 2024
This research paper presents a novel Virtual Gym Tracker AI Pose Estimation system designed to enhance virtual fitness experiences. Leveraging advanced deep learning techniques and real- time image analysis, the system accurately tracks and reconstructs user movements in real time. It offers precise pose estimation, enabling form correction, performance analysis, and interactive coaching. Extensive experiments confirm its accuracy and adaptability across diverse exercise scenarios, making it a valuable tool for virtual gym environments