Marker-Less Monitoring Protocol to Analyze Biomechanical Joint Metrics During Pedaling
Marker-less systems are becoming popular to detect a human skeleton in an image automatically.However, these systems have difficulties in tracking points when part of the body is hidden, or there is an artifact that does not belong to the subject (e.g., a bicycle).We present a low-cost tracking system combined with economic force-measurement sensor