164 College St
Toronto, ON M5S 3E2
Computer vision systems to monitor neurological disorders
Babak Taati, PhD, PEng
Scientist, Toronto Rehabilitation Institute, University Health Network
Computer vision systems can play a role in providing care to individuals living with physical or cognitive disability.
This talk will first provide an overview of several vision-based systems under development for such purpose.
We will then present results from two projects, one targeting individuals with dementia and another being developed for people with Parkinson’s disease (PD).
The first project examines the feasibility of computer vision technology in automatic assessment of PD. Automated assessments would allow patients to assess their symptoms more frequently and would provide neurologists with useful information for drug dosage adjustment. They could also be used to accelerate phase II drug trials.
The second project involves assessing the cognitive status of older adults by way of monitoring common activities of daily living. Early identification of dementia can potentially lead to improved quality of life both for older adults with dementia and their family and caregivers who can better plan informal/formal care in advance.
Babak Taati is a scientist in the Toronto Rehabilitation Institute at the University Health Network. His research applies computer vision technologies to solve real-world health care challenges in rehabilitation and the management of chronic conditions.
A major 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.