F. Quevillon
Papers
2
Total Citations
60
H-Index
2
About
F. Quevillon’s research lies at the vital intersection of assistive technology, human–machine interaction, and wireless sensor networks, with a singular focus on restoring independence to individuals with upper-body disabilities. Their major contribution is the development of a multimodal, adaptive body-machine interface (BoMI) that leverages a wearable wireless body sensor network (WBSN) to translate residual functional capacities into precise control signals for assistive devices like robotic arms. This work is distinguished by its modular, user-centric design: the system can be rapidly reconfigured to match each user’s unique abilities, a critical step beyond one-size-fits-all solutions. The flagship 2018 paper on this system has garnered 47 citations, reflecting its influence in the rehabilitation engineering community, while a foundational 2017 version (13 citations) established the core data fusion and wireless architecture. Quevillon’s approach—combining real-time adaptability with robust, low-latency wireless control—has been recognized as a practical pathway for deploying advanced assistive technologies in daily life, making their work essential reading for anyone designing next-generation interfaces for users with severe motor impairments.
Research Focus
Key Achievements
Top Papers
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