My research applies computer vision (and machine learning) techniques in the development and evaluation of intelligent health monitoring and rehabilitation technologies. Feel free to contact me if you are interested and want to learn more or wish to be involved in any way.

Some of the projects that I currently work on, or have been involved with in the past, include:

• automated pain detection for older adults with dementia (read more here and here),
• automated monitoring of gait to predict fall risk in older adults with dementia (see more here and here),
• non-contact monitoring of sleep (read more here),
• Objective assessment of orofacial function in individuals with neurological movement disorders (e.g. read here)
• assessing cognitive status and dementia onset by observing hand washing behavior,
• automated measurement of Levodopa-induced dyskinesia in people with advanced Parkinson's disease,
• inducing sensory conflicts in an augmented/virtual reality environment for neurorehabilitation,
• posture monitoring during rehabilitation exercises,
• the automated analysis of functional balance,
• vision-based fall detection and emergency response,
• the monitoring of mobility within the home as a predictor of cognitive decline.
• video analysis for usability assessment (part of an RERC on universal design),
• data mining in bone marrow transplant medical records,
• the automatic detection of abnormal gait on stairs, and
• vision-based collision avoidance and navigation system for powered wheelchairs

Media: Read about our work in the ...

• Use of Technology in Compassionate Elder Care (AMS Podcast: Good Tech, Compassionate Healthcare) (2022)
• UofT Med Magazine (2021)
• Behind the Breakthrough (podcast interview) (2021)
• Protection Cometh Before a Fall (2021)
• Engineering Dimensions (2020)
• Globe and Mail (2019)
• CBC (2019)
• Global News (2019)
• NZZ Folio (in German) (2017)

Prospective Students:

• International Students: Unfortunately, I don't have the budget to recruit international students. If you send me an email, I usually try to find the time to respond and say the same thing.
• Canadian Citizens and Permanent Residents: I'm always interested in talking with strong applicants. If you meet the admission criteria in CS or IBBME, send me an email and include your CV, unofficial transcripts, and github link. Put 'prospective student - apple orange pear' in the subject line so I know you've looked at my webpage!
• I am not looking for interns or visiting students, with or without funding, and will not answer emails about this.

Funding:

My research is supported by internal funding from KITE | Toronto Rehab and external funding and competitive research grants, e.g. from the following agencies and foundations:

• Data Sciences Institute
• AMS Healthcare
• Michael J. Fox Foundation and the Weston Brain Institute
• Parkinson Canada
• Alzheimer's Association and the Brain Canada Foundation
• FedDev Ontario
• Natural Sciences and Engineering Research Council of Canada (NSERC)
• Canadian Institutes of Health Research (CIHR)
• AGE-WELL NCE
• Canadian Partnership for for Stroke Recovery
• Promobilia Foundation
• Canadian Consortium on Neurodegeneration in Aging (CCNA)
• Ontario Centres of Excellence (OCE)