PhD Candidate, IBBME, University of Toronto
M.A.Sc. (Biomedical Engineering, University of Toronto)
B.A.Sc. (Electrical Engineering, University of Alberta)
- 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.
- 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: http://dx.doi.org/10.3109/17483107.2015.1129457
- 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.
- 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).
- 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.
- 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.
- 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.
- 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.2010.09.02.138.00