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Edge-Intelligent Video Systems for Elderly Support: Monitoring, Understanding, and Interactive Avatars
With global shifting toward an aging population, empowering seniors to age in place is both a social challenge and a technological opportunity. Video-based home monitoring has the great potential to provide both robust support and privacy for elderly by leveraging advanced and edge computing techniques. Working together with our industry partner Sharp Growth (Canada) Limited, this project aims to develop edge-based privacy-preserving, accurate, energy-efficient video-based AI monitoring and analysis solutions for elderly monitoring and support, by address key challenges such as limited activity understanding, lack of rich semantic feedback and summary, and limited interactive capabilities for users. The proposed work contributes to accessible health monitoring technologies, with great potential for applications such as at-home hospital.
Faculty Supervisor:
Jane Wang;Rabab Ward
Student:
Partner:
Sharp Growth (Canada) Limited
Discipline:
Engineering
Sector:
Professional, scientific and technical services
University:
The University of British Columbia
Program:
Accelerate
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.