3 papers
cs.HC2025
Visual Feedback of Pattern Separability Improves Myoelectric Decoding Performance of Upper Limb Prostheses
Ruichen Yang, György M. Lévay, Christopher L. Hunt +5
State-of-the-art upper limb myoelectric prostheses often use pattern recognition (PR) control systems that translate electromyography (EMG) signals into desired movements. As prost…
cs.RO2024
Online Adaptation for Myographic Control of Natural Dexterous Hand and Finger Movements
Joseph L. Betthauser, Rebecca Greene, Ananya Dhawan +7
One of the most elusive goals in myographic prosthesis control is the ability to reliably decode continuous positions simultaneously across multiple degrees-of-freedom. Goal: To de…
cs.RO2024
Invariant neuromorphic representations of tactile stimuli improve robustness of a real-time texture classification system
Mark M. Iskarous, Zan Chaudhry, Fangjie Li +7
Humans have an exquisite sense of touch which robotic and prosthetic systems aim to recreate. We developed algorithms to create neuron-like (neuromorphic) spiking representations o…