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About

Matthieu Duvinage’s research sits at the intersection of brain-computer interfaces (BCIs), bipedal robotics, and human gait rehabilitation, where he has pioneered biologically inspired control systems for lower limb prostheses. His most cited work, “Control of a lower limb active prosthesis with eye movement sequences” (28 citations), introduced an original scheme that directly drives prosthetic actuators using the user’s intention—a significant departure from conventional autonomous or residual-limb-driven systems. Expanding on this, his “Five-state P300-based foot lifter orthosis” (26 citations) provided a proof-of-concept for a non-invasive BCI that translates neural signals into precise orthotic commands, offering new hope for individuals with spinal cord injury or stroke. Duvinage’s contributions extend beyond engineering: his study “Corticomuscular coherence revealed during treadmill walking” (21 citations) provided compelling evidence that human locomotion, long considered a spinal reflex, actually involves supraspinal cortical control, reshaping fundamental understanding of motor neuroscience. He also developed a PCPG (Phase-Controlled Pattern Generator) algorithm to model human gait, enabling high-level BCI commands to drive neuroprostheses. With cumulative citations across these works and a focus on translating neural intention into mechanical action, Duvinage stands as a key figure in the quest for truly intuitive, brain-driven lower limb assistive devices.