Intelligent Assistive Technology and Systems Lab - click to go to homepage
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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500 University Ave.

Toronto, Canada

P 416.946.8573

F 416.946.8570


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160 - 500 University Ave.

Toronto, ON, M5G 1V7



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Tuck-Voon How

Photo of TuckResearch Developer/Engineer

KITE - University Health Network



Research Interest

  • Human-Centred Design / Co-Design
  • Human-Computer Interaction
  • Embedded Systems
  • Pervasive Healthcare (Wearable Technology)
  • Physiological Data Mining (Dynamical Systems)
  • Commercialization & Knowledge Transfer


Dr. Tuck-Voon How is a research engineer working with IATSL and the Artificial Intelligence & Robotics for Rehabilitation Team at KITE – University Health Network. He is interested in developing novel assistive technology that has a real-world impact on improving healthcare experiences. He completed his Doctoral training through the Institute of Biomedical Engineering (BME) at the University of Toronto, with a prior M.A.Sc. in Biomedical Engineering (University of Toronto), and B.A.Sc. in Electrical Engineering (University of Alberta).

He has over 14 years of experience in the biomedical field and has worked on a broad range of healthcare projects including: wearable physiological monitoring of unwanted anger for individuals with traumatic brain injury (TBI), co-design for the front-end of rehabilitation technology idea generation, home-based risk assessment of heart failure decompensation, smartphone based gait-asymmetry rehabilitation for stroke, home-based fall detection, and an intelligent wheelchair system for older adults with dementia. Previously, he was a top 5 team finalist for the Ted Rogers Centre for Heart Research’s Entrepreneurship for Cardiovascular Health Opportunities (ECHO) venture competition; a CIHR Doctoral research award recipient and fellow in the CIHR Healthcare, Technology & Place research training program; and has won best paper at the Rehabilitation Engineering Society of North America (RESNA) conference.