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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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Photo of ChristinaChristina Jean

Masters Candidate

(University of Toronto)



Christina received her Bachelors of Applied Science in Biomedical Engineering at the University of Waterloo in 2020. She started her Master of Applied Science (MASc) in Biomedical Engineering at the University of Toronto in September 2021 under the supervision of Dr. Alex Mihailidis.

Christina’s thesis involves developing multimodal interfaces consisting of a social robot and a camera to assist older adults with dementia to perform their activities of daily living (ADL). She is investigating the use of machine learning and computer vision to predict and monitor the state of the activity, and provide necessary verbal and/or visual prompts to complete the task safely and independently. Her research will examine the performance and effectiveness of multimodal interfaces in ADL assistance, aiming to develop a feasible and reliable prompting system that could potentially encourage independence of older adults with dementia.

Her main research interests include:

  • Computer Vision
  • Machine Learning
  • Assistive technologies
  • User Interface Design