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20182022
most citedXceptionTime: A Novel Deep Architecture based on Depthwise Separable Convolutions for Hand Gesture Classification

38 citations · 68 across the 9 of their papers we have counts for

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cs.LG2021

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…

cs.LG2021

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…

cs.LG202120 cited

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 (…

cs.LG20201 cited

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…

cs.LG201938 cited

XceptionTime: A Novel Deep Architecture based on Depthwise Separable Convolutions for Hand Gesture Classification

Elahe Rahimian, Soheil Zabihi, Seyed Farokh Atashzar +2

Capitalizing on the need for addressing the existing challenges associated with gesture recognition via sparse multichannel surface Electromyography (sEMG) signals, the paper propo…