38 citations · 67 across the 7 of their papers we have counts for
7 papers
TraHGR: Transformer for Hand Gesture Recognition via ElectroMyography
Soheil Zabihi, Elahe Rahimian, Amir Asif +1
Deep learning-based Hand Gesture Recognition (HGR) via surface Electromyogram (sEMG) signals has recently shown significant potential for development of advanced myoelectric-contro…
ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG Signals
Mansooreh Montazerin, Soheil Zabihi, Elahe Rahimian +2
Recently, there has been a surge of significant interest on application of Deep Learning (DL) models to autonomously perform hand gesture recognition using surface Electromyogram (…
Hand Gesture Recognition Using Temporal Convolutions and Attention Mechanism
Elahe Rahimian, Soheil Zabihi, Amir Asif +3
Advances in biosignal signal processing and machine learning, in particular Deep Neural Networks (DNNs), have paved the way for the development of innovative Human-Machine Interfac…
Q-Net: A Quantitative Susceptibility Mapping-based Deep Neural Network for Differential Diagnosis of Brain Iron Deposition in Hemochromatosis
Soheil Zabihi, Elahe Rahimian, Soumya Sharma +6
Brain iron deposition, in particular deep gray matter nuclei, increases with advancing age. Hereditary Hemochromatosis (HH) is the most common inherited disorder of systemic iron e…
TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition
Elahe Rahimian, Soheil Zabihi, Amir Asif +3
There has been a surge of recent interest in Machine Learning (ML), particularly Deep Neural Network (DNN)-based models, to decode muscle activities from surface Electromyography (…
FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography
Elahe Rahimian, Soheil Zabihi, Amir Asif +3
This work is motivated by the recent advances in Deep Neural Networks (DNNs) and their widespread applications in human-machine interfaces. DNNs have been recently used for detecti…