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About

Michael Mace is a leading researcher in assistive and rehabilitative technologies, with a primary focus on developing novel human-machine interfaces for individuals with motor impairments. His work spans brain-machine interfaces (BMI), tongue-based control systems, and sensor-based rehabilitation tools. Mace’s major contributions include the real-time implementation of a non-invasive tongue-movement ear pressure (TMEP) interface for assistive control, demonstrated through simulated tasks (16 citations). He also pioneered the SITAR system (15 citations), a sensor-based platform for independent task-oriented upper limb assessment and rehabilitation, marking a shift toward patient-driven therapy. In the BMI domain, he developed a robust strategy for decoding movements from deep brain local field potentials (14 citations), advancing bi-directional neural control for prosthetics. His research on robot-based tactile sensation assessment further underscores his commitment to restoring hand function. With cumulative citations exceeding 48 across his most-cited works, Mace’s contributions are pivotal in translating neural and physiological signals into practical, accessible solutions for neurorehabilitation and assistive technology.