Solenne Page

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About

Solenne Page is a leading researcher in assistive robotics and human-robot interaction, with a primary focus on developing intelligent mobility aids for elderly and disabled populations. Her key research areas include smart walker design, gait analysis, and fall prevention systems. Page’s most notable contribution is her pioneering work on unbalance detection for smart walkers, which addresses a critical gap in assistive technology: conventional walkers provide passive support, but smart walkers must actively adapt to users’ unstable gait patterns. In her highly cited 2016 paper, she demonstrated that relying solely on position data is insufficient for detecting imbalance, proposing novel discriminatory factors that enable proactive responses. This work, with 9 citations, has laid the foundation for more responsive fall-prevention systems. Page’s research integrates sensor fusion, biomechanics, and control algorithms to create devices that synchronize with natural movement while detecting and countering instability. Her achievements have significant implications for aging populations, potentially reducing fall-related injuries and improving quality of life. By advancing smart walker technology from passive support to intelligent, adaptive assistance, Page has established herself as a key innovator in rehabilitation robotics and human-centered assistive devices.