Скачать или смотреть Real-Time AI Meets Wellness: Yoga Pose Classification System

🧘‍♂️ Real-Time AI Meets Wellness: Yoga Pose Classification System
🚀 Excited to share my latest AI project: a Real-Time Yoga Pose Classification System!
I’ve developed an intelligent computer vision system that automatically detects, tracks, and classifies yoga poses in live or recorded video using deep learning. This system bridges AI and human movement understanding, bringing precision and mindfulness together.
💡 Key Features:
✅ Real-time multi-person pose visualization with 17-point COCO skeleton tracking
✅ Automatic pose classification for six yoga postures: Tree Pose, Warrior I & II, Standing Side Bend, Easy Pose, and Idle
✅ Temporal smoothing for stable and consistent pose predictions
✅ Dynamic on-screen labeling — centered for single-person scenes, indexed for multi-person views
✅ Live performance metrics including FPS and frame count
✅ Professional video output with branding overlay
🔧 Technical Highlights:
• Built with YOLOv11 pose estimation for fast, accurate keypoint detection
• Optimized for 4K real-time video processing
• Fully implemented with Python, PyTorch, OpenCV, NumPy, and Ultralytics YOLO
• Fine-tuned visualization pipeline with correct coordinate rescaling to ensure keypoints align perfectly with the human body
🧠 The Vision Behind It
This project isn’t just about pose detection — it’s about bringing AI closer to human well-being.
By merging deep learning with human movement understanding, we can:
🔹Provide real-time yoga guidance for remote learners
🔹Help users improve posture accuracy and prevent injuries
🔹Enable fitness and wellness platforms to offer smarter, data-driven experiences
In essence, it demonstrates how AI can empower mindfulness, not replace it — augmenting human self-awareness through intelligent feedback systems.
This project showcases how AI can empower personalized fitness experiences, improve posture awareness, and bridge the gap between technology and holistic well-being.