Maxime Lussier

Papers

Total Citations

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About

Maxime Lussier is a researcher specializing in smart home technologies, assistive robotics, and fall prevention systems for older adults. His work sits at the intersection of computer vision, ambient sensing, and human-robot interaction, with a particular focus on enabling aging populations to live independently and safely in their own homes. Lussier's most notable contributions center on developing intelligent systems that detect and prevent falls — one of the leading threats to the health, independence, and quality of life of older adults. His 2021 paper, "Fall Prevention and Detection in Smart Homes Using Monocular Cameras and an Interactive Social Robot," has garnered 12 citations and represents a significant step forward in combining monocular camera vision with social robotics to address both the physical and psychological dimensions of fall risk, including the often-overlooked fear of falling. His subsequent 2022 work expanded this framework by integrating ambient sensors alongside computer vision, offering a more holistic approach to fall risk management across diverse aging populations. Through his research, Lussier contributes meaningfully to the growing field of age-in-place technology, addressing not only technical challenges but also the profound human impact of supporting older adults' dignity, autonomy, and well-being.