Area of Research

General focus is on intelligent systems (software, hardware, materials & analytical methods) for pediatric rehabilitation within a biopsychosocial framework.

Specific areas of active research include:

• Motor control and learning
  - fractal dynamics of quasi-periodic motor activities
  - dynamics of motor learning
  - biomechanical quantification of handwriting as a diagnostic tool
  
• Upper extremity prosthetics
  - novel actuation mechanisms and multifunction control strategies
  - mechanomyography (muscle vibrations) as a control signal
  
• Access and communication
  - investigation of unconventional access pathways
  - physiological signal fusion and pattern discovery for individuals who are semi- or completely locked-in
  
• Intelligent systems
  - play facilitation through mobile robotics
  - wearable augmented environments for topographical orientation
  - automatic detection of adverse swallowing events through the fusion of biomechanical and physiological signals
  - noncontact and predictive communication aids
  
• Biomedical Engineering
  

Links

Prism Lab

tom.chau@utoronto.ca