FRQ Research Area: Natural Sciences and Technology
Host university: Université du Québec à Chicoutimi (UQAC)
Host Department: Department of Computer Science and Mathematics / LIARA laboratory
Canadian Partner: Professor Kévin Bouchard
Research Domain: Human Activity Recognition
Research Project Title: Semi-Supervised Learning to Improve Performance of Human Activity Recognition for Physical Rehabilitation
Research Project Purpose: In this work, we will investigate the potential of researching and developing a smart system for human activity recognition. The proposed system will help cognitively-impaired and injured people by providing direct support services. The input is a data collected by a variety of sensors and the output is adequate support service. The proposed approach will be based on recently introduced semi-supervised learning techniques. We will build also a new dataset to show efficiency of our system and provide experimental results.
Expected Results: Smart system for human activity recognition