Improving Care for Older Adults: Using Computer Vision and Generative AI for Data Augmentation - Tech Talk and Meet & Greet
#artificial-intelligence
#aging
#biomedical-engineering
#computer-science
#computer-vision
#AI
#computing
#healthcare
IEEE Technical Talk (In-person)
The EMB/RA/CS Societies Joint Chapter of IEEE Kingston Section, Queen's Department of Electrical and Computer Engineering and Ingenuity Labs Research Institute are proud to present the DSS talk
SPEAKER:
Dr. Babak Taati
Barbara G. Stymiest Chair in Rehabilitation Technology Research
Toronto Rehab Institute
TIME & VENUE:
Talk:
2:00-3:00 pm, Thursday May 15, 2025
School of Kinesiology and Health Studies (KINE-100)
Room 100, 28 Division St., Kingston
Queen's University
Meet & Greet: Refreshments will be provided
3:00-3:45 pm Thursday May 15, 2025 (short walking distance after the talk)
Ingenuity Labs Research Institute
Room 395, 69 Union St., Kingston
Queen's University
ABSTRACT:
As the global population grows older, technology is becoming increasingly important in supporting the health and well-being of older adults, especially those with physical or cognitive challenges. This talk focuses on computer vision systems that help improve care, such as detecting pain and assessing mobility. One major challenge in developing these systems is the lack of enough clinical image/video data, which can be expensive and difficult to collect and label. To address this issue, we present a generative AI method for creating synthetic pathological data, which helps expand real datasets and improve the accuracy and reliability of these models.
BIOGRAPHY:
Dr. Babak Taati is a Senior Scientist at KITE, the research arm of the Toronto Rehabilitation Institute - University Health Network (UHN), where he also serves as the lead the Kite Aging Team. He holds the Barbara G. Stymiest Chair in Rehabilitation Technology Research at TRI-UHN and holds an Associate Professor appointment (status-only) at the University of Toronto in the Department of Computer Science, the Institute of Biomedical Engineering, and the Rehabilitation Sciences Institute. Additionally, he is a Faculty Affiliate at the Vector Institute for Artificial Intelligence. Dr. Taati completed his BSc, MASc, and PhD at Sharif University of Technology, Simon Fraser University, and Queen's University, respectively. His research focuses on applying computer vision and machine learning to develop intelligent health monitoring and rehabilitation technologies.
CO-HOSTS:
Dr. Michael Greenspan greenspan.michael@queensu.ca
Dr. Nasim Montazeri nasim.montazeri@queensu.ca
Dr. Keyvan Hashtrudi-Zaad khz@queensu.ca
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