Computer vision technology for a human mobility assessment system

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Computer vision technologies have become widely employed in the biomedical domain. Such technology is preferred for efficiency and precision in many applications, especially for body detection and movement tracking. The objective of this project is to adapt the advanced capabilities offered by Microsoft Kinect to human motion analysis. This work is important for patients with concussions arising from athletic injuries as well as head injuries incurred by the elderly. We will upgrade the existing Motion Analysis System (MAS) developed by PhD Associates to introduce new algorithmic functionality based on automation of the Tinetti test. This functionality will allow PhD Associates to approach practitioners with an easy, precise and low cost tool to estimate patient's fall risks from gait and balance (mobility) measurements. This work is important for the advancement in medical kinematics which will impact Canadian research in the field of rehabilitation and neurologic diagnosis. This project is a partnership between York University and PhD Associates, the expected duration of the project is 6 months.