Guy Hotson
Papers
4
Total Citations
331
H-Index
4
About
Guy Hotson is a leading researcher in neural engineering and brain-machine interfaces (BMIs), with a focus on restoring motor function through advanced prosthetic control. His work centers on integrating intracranial electroencephalography (iEEG), eye tracking, and computer vision to create intuitive, multimodal systems for controlling robotic limbs. Hotson’s most notable contribution is the development of the Hybrid Augmented Reality Multimodal Operation Neural Integration Environment (HARMONIE), a semi-autonomous framework that combines neural signals with non-invasive inputs for enhanced prosthetic dexterity. His 2014 paper on this system, with 190 citations, demonstrated real-time control of the modular prosthetic limb (MPL) using human iEEG, a landmark achievement in the field. Earlier, his 2013 study (90 citations) showed simultaneous neural control of reaching and grasping with the MPL, using signals from two human subjects. Hotson also advanced decoding algorithms, applying recursive Bayesian estimation with dynamic movement primitives to achieve high-precision trajectory control (26 citations). His work bridges invasive and non-invasive approaches, aiming to accelerate clinical adoption. Hotson’s research has been pivotal in pushing BMIs toward practical, user-friendly assistive technologies, earning recognition for its innovation and potential to transform lives.
Research Focus
Key Achievements
Top Papers
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- 4HARMONIE: A multimodal control framework for human assistive robotics25 citations · 2013