Machine learning algorithms utilization for impairment screening using balance detection

In this project the human body movement and its balance will be studied, and artificial intelligence-based algorithms will be developed in order to detect the body movement and the posture in real-time. Specific camera technology will be utilized in order to gather required data of the human movement and the environment. The data will then be filtered and analyzed. The cleaned data will then be used in a artificial-intelligence-based system to detect the status of the movement. Finally, the result of the movement detection will be integrated with other indicators in order to detect the imbalances or visible impairments.

Faculty Supervisor:

Jiannan Wang


Vishal Batvia


CannSight Technologies Inc


Computer science


Medical devices




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