Pooja Viswanathan, BMath, MSc Candidate, Department of Computer Science, University of British Columbia, Vancouver, BC.
Jennifer Boger, MASc, Research Manager, Intelligent Assistive Technology and Systems Lab, Department of Occupational Science and Occupational Therapy, University of Toronto; Toronto Rehabilitation Institute, Toronto, ON.
Jesse Hoey, PhD, Lecturer, School of Computing, University of Dundee, Dundee, Scotland; Toronto Rehabilitation Institute, Toronto, ON.
Pantelis Elinas, MSc, PhD Candidate, Department of Computer Science, University of British Columbia, Vancouver, BC.
Alex Mihailidis, PhD, PEng, Assistant Professor and Head of Intelligent Assistive Technology and Systems Lab, Department of Occupational Science and Occupational Therapy, University of Toronto; Toronto Rehabilitation Institute, Toronto, ON.
Mobility and independence are essential components of a high quality of life. Although they lack the strength to operate manual wheelchairs, most physically disabled older adults with cognitive impairment are also not permitted to use powered wheelchairs due to concerns about their safety. The resulting restriction of mobility often leads to frustration and depression. To address this need, the authors are developing an intelligent powered wheelchair to enable safe navigation and encourage interaction between the driver and his/her environment. The assistive technology described in this article is intended to increase independent mobility, thereby improving the quality of life of older adults with cognitive impairments.
Key words: mobility, artificial intelligence, assistive technology, wheelchairs, cognitive impairment.
