Development of a motion analysis system and human-machine interaction through digital image processing and virtual reality

Human motion analysis using artificial vision is an interesting topic in the biomechanical analysis of the human body for rehabilitation routines. The people with motor disorders can achieve better and faster results if a quantitative analysis of patient progress is carried out by precision. Nowadays, there are many systems capable to capture human body movements, however these tools can be invasive, uncomfortable and expensive, reducing the use and application of this technology in rehabilitation. This paper proposes a system of motion capture and analysis through digital image processing techniques, using markers to detect and track points. Moreover, the kinematics of the human body and virtual environments are proposed to obtain valuable information about the human motion during the rehabilitation.