UCLIC Research Seminar Series
Computer vision systems can play an important role in providing care to individuals living with physical or cognitive disability. This talk will provide an overview of several vision-based systems under development for such purpose at KITE, the research arm of the Toronto Rehabilitation Institute - University Health Network, and will highlight potential areas of collaboration. Examples include ambient monitoring of pain in older adults with severe dementia, ambient monitoring of fall risk in older adults residing in long-term care facilities, assessment of breathing disorders during sleep, and objective assessment of parkinsonism and dyskinesia.
Babak Taati, PhD PEng, is a Scientist at KITE | Toronto Rehab - University Health Network. He also holds an Assistant Professor appointment at the University of Toronto, in the Institute of Biomaterials and Biomedical Engineering (IBBME) and in the Department of Computer Science (status only). His research applies computer vision technologies to solve real-world health care challenges in rehabilitation and the management of chronic conditions. A main focus of his work is to move away from the laboratory and contrived situations towards the development of computer vision systems that work reliably in natural settings, such as in the home or in long-term care.