Dr. Taati's research focuses on the application of computer vision and machine learning techniques in solving real-world rehabilitation and assistive technology challenges and in health and safety monitoring. Examples include real-time upper-limb motion assessment during post-stroke rehabilitation therapy and the analysis of gait and joint movements to monitor the rehabilitation process in the home. A major focus of Dr. Taati's is to move away from the laboratory and contrived situations towards the development of computer vision algorithms and systems that work reliably in natural settings, such as in the home.
Scientist, KITE (TRI)
Assistant Professor (status only), Department of Computer Science, University of Toronto
Faculty Affiliate, Institute of Biomedical Engineering, University of Toronto
Faculty Affiliate, Vector Institute, University of Toronto
Faculty Member, Rehabilitation Sciences Institute, University of Toronto