Alison Gibson
Papers
2
Total Citations
17
H-Index
2
About
Alison Gibson is a leading researcher in neuro-prosthetics and brain-machine interfaces, with a focus on restoring tactile sensation to users of advanced prosthetic limbs. Her work addresses a critical bottleneck in the field: the lack of effective, non-invasive haptic feedback. In her highly cited 2015 paper, “Neural closed-loop control of a hand prosthesis using cross-modal haptic feedback” (9 citations), she pioneered a closed-loop system that translates tactile information into auditory cues, enabling more intuitive and natural control of hand prostheses. Building on this, her 2014 study, “Object discrimination using optimized multi-frequency auditory cross-modal haptic feedback” (8 citations), demonstrated how optimized sound frequencies can allow users to distinguish between different textures and objects—a breakthrough that bypasses expensive and invasive force-feedback methods. By replacing costly tactile sensors with auditory cross-modal feedback, Gibson’s research makes dexterous prosthetic control more accessible and practical. Her contributions are foundational to the next generation of non-invasive neural interfaces, offering a scalable path toward restoring the sense of touch for amputees and paralyzed individuals.
Research Focus
Key Achievements
Top Papers
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