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IATSL develops assistive technology that is adaptive, flexible, and intelligent, enabling users to participate fully in their daily lives. Learn more about our research

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Tuck-Voon How

Photo of Tuck-voon HowPhD Candidate, IBBME, University of Toronto


M.A.Sc. (Biomedical Engineering, University of Toronto)
B.A.Sc. (Electrical Engineering, University of Alberta)

(416) 946-8573


  • Human-computer interaction
  • Affective Computing
  • Signal Processing
  • Wearable Sensors
  • Contextual Rehabilitation Technologies
  • Machine Learning


Tuck-Voon completed his Master of Applied Science in Biomedical Engineering at the University of Toronto in 2010.  His Masters research involved developing a vision-based system that helps individuals with cognitive impairments navigate when using powered wheelchairs.

As a PhD student, Tuck-Voon will continue to pursue his research interest of exploring the intersection between healthcare and technology. His doctoral thesis will look at using new human-computer interfaces to extend cognitive rehabilitation beyond the hospital setting and into home or mobile environments.


  1. How, T.V., Hwang, A.S., Green, R.E.A., Mihailidis, A. (2016) Envisioning future cognitive telerehabilitation: A co-design process with clinicians. Disability and Rehabilitation: Assistive Technology. DOI:
  2. How, T.V., (2014) Co-design of cognitive telerehabilitation technologies. 16th International Conference on Human-computer Interaction with Mobile Devices & Services, Sept 23-26, Toronto, Canada. Doctoral Consortium Paper.
  3. How, T.V., Wang, R.H., and Mihailidis, A. (2013) Evaluation of an intelligent wheelchair system for older adults with cognitive impairments. Journal of Neuroengineering and Rehabilitation, 10(90).
  4. How, T.V., Chee, J., Wan, E., and Mihailidis, A. (2013) MyWalk: A mobile app for gait asymmetry rehabilitation in the community. 7th International Conference on Pervasive Computing Technologies for Healthcare, May 5-8, Venice, Italy.
  5. Chee, J., How, T.V., and Wan, E. (2013) Developing an android-based smartphone app to reduce gait asymmetry in stroke patients: the MyWalk app. Current Concepts in Balance, Fitness and Mobility: Perspectives on Intensity in Rehabilitation-University Health Network, January 25, Toronto, Canada.
  6. How, T.V., Wang, R.H. and Mihailidis, A. (2011). Clinical Evaluation of the Intelligent Wheelchair System. Festival of Intl Conf on Caregiving, Disability, Aging and Technology (FICCDAT), Toronto, Canada, June 5-8. Winner of Rehabilitation Engineering and Assistive Technology Society of North America (RESNA) Student Scientific Paper Competition.
  7. How, T. and Mihailidis, A. (May 2010). Anti-collision and navigation system for powered wheelchairs. Gerontechnology 2010, 9(2), 289; Vancouver, BC. doi:10.4017/gt.2010.