Alycia Gailey

West Virginia High Technology Consortium Foundation, Torc Robotics (United States)

Papers

Total Citations

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About

Alycia Gailey’s research sits at the intersection of neural engineering and assistive robotics, with a focus on restoring dexterous hand function for individuals with paralysis or amputation. Her most cited work, “Regression-based reconstruction of human grip force trajectories with noninvasive scalp electroencephalography” (2019, 15 citations), pioneered a method to decode continuous grip force from EEG signals, enabling more intuitive brain-machine interfaces for prosthetic control. In a complementary pilot study (2017, 11 citations), she evaluated the SoftHand Pro—a soft, synergy-based prosthetic hand—demonstrating that able-bodied users could achieve natural grasp performance through its compliant, underactuated design. This work highlighted how soft robotics can reduce the cognitive burden of prosthetic use while improving versatility. Gailey’s contributions bridge the gap between noninvasive neural decoding and practical, user-friendly hardware, offering a pathway toward more reliable and accepted assistive devices. Her findings have implications for both rehabilitative robotics and brain-controlled prosthetics, advancing the goal of seamless human-machine interaction.