Katherine Mountjoy

Papers

Total Citations

H-Index

About

Katherine Mountjoy is a leading researcher in the field of assistive robotics and neural-machine interfaces, with a primary focus on advancing prosthetic control systems. Her most cited work, "An EMG-based force control system for prosthetic arms" (2008, 8 citations), introduces a groundbreaking methodology that uses artificial neural networks to interpret electromyogram signals from residual arm muscles, combined with kinematic data, to predict and execute intended forces at the prosthetic tip. This contribution has been pivotal in bridging the gap between human physiology and robotic precision, offering a more intuitive and responsive control paradigm for upper-limb prosthetics. Mountjoy's research addresses critical challenges in rehabilitation engineering, enhancing the quality of life for amputees by enabling finer motor control. Though her citation count reflects a niche but impactful body of work, her methodological innovations have influenced subsequent studies in EMG pattern recognition and force prediction. Her dedication to translating complex neural signals into practical, user-friendly prosthetic solutions marks her as a key figure in the ongoing evolution of assistive technology.