AI Enabled Monocular Gait Analysis
Clinical gait assessment system operating on standard single-camera video to evaluate neurological gait conditions (Cerebral Palsy, Stroke, Myopathic, Normal). Integrates YOLOv8 + ByteTrack tracking, 147-D pelvic-scaled kinematic pose features, and 28-D RAFT dense optical flow into dilated Temporal Convolutional Networks (TCN) reaching 70.7% balanced accuracy with SPARC smoothness profiling under strict video-grouped cross-validation.
Co-authored with Debeshi Sen (23BDS1055), guided by Dr. Pavithra L K, VIT Chennai
70.7%
Balanced Accuracy
- PyTorch
- YOLOv8
- MediaPipe
- RAFT Optical Flow
- TCN
