22 citations · 28 across the 4 of their papers we have counts for
4 papers
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…
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…
Augmented Reality Prosthesis Training Setup for Motor Skill Enhancement
Avinash Sharma, Wally Niu, Christopher L. Hunt +3
Adjusting to amputation can often time be difficult for the body. Post-surgery, amputees have to wait for up to several months before receiving a properly fitted prosthesis. In rec…
Stable Electromyographic Sequence Prediction During Movement Transitions using Temporal Convolutional Networks
Joseph L. Betthauser, John T. Krall, Rahul R. Kaliki +2
Transient muscle movements influence the temporal structure of myoelectric signal patterns, often leading to unstable prediction behavior from movement-pattern classification metho…