Understanding the influence of confounding factors in myoelectric control for discrete gesture recognition
Discrete myoelectric control-based gesture recognition has recently gained interest as a
possible input modality for many emerging ubiquitous computing applications. Unlike the …
possible input modality for many emerging ubiquitous computing applications. Unlike the …
[HTML][HTML] TraxVBF: A hybrid transformer-xLSTM framework for EMG signal processing and assistive technology development in rehabilitation
SA Zendehbad, AS Razavi, MA Sanjani… - Sensing and Bio …, 2025 - Elsevier
The fact that people with mobility impairments often have great difficulties in performing
essential Activities of Daily Living (ADL) shows the importance of developing effective …
essential Activities of Daily Living (ADL) shows the importance of developing effective …
Evidence that a deep learning regression-based controller mitigates the limb position effect for an individual with transradial amputation
Myoelectric upper limb prostheses provide wrist and hand movements to users yet remain
somewhat unreliable and challenging to operate in high and cross-body limb positions …
somewhat unreliable and challenging to operate in high and cross-body limb positions …
Position-Aware Control of Myoelectric Prostheses
HE Williams - 2024 - era.library.ualberta.ca
As reported in 2020, millions of individuals worldwide have some form of upper limb
amputation or congenital loss of limb that impedes execution of everyday actions like …
amputation or congenital loss of limb that impedes execution of everyday actions like …
Feasibility Study of Dendritic Gated Networks for Upper Limb Prosthetic Control
This study provides insight into the synergy between neuroprosthesis control and dendritic
gated networks (DGNs)—a newly introduced type of artificial neural network. These …
gated networks (DGNs)—a newly introduced type of artificial neural network. These …