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Elahe Rahimian

5 accepted papers

2023

HYDRA-HGR: A Hybrid Transformer-Based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information

Mansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani, Seyed Farokh Atashzar, Hamid Alinejad-Rokny, Arash Mohammadi
ICASSP 2023accepted

Development of advance surface Electromyogram (sEMG)-based Human-Machine Interface (HMI) systems is of paramount importance to pave the way towards emergence of futuristic Cyber-Physical-Human (CPH) worlds. In this context, the main focus of recent literature was on development of different Deep Neu…

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2023

Light-Weight CNN-Attention Based Architecture for Hand Gesture Recognition Via Electromyography

Soheil Zabihi, Elahe Rahimian, Amir Asif, Arash Mohammadi
ICASSP 2023accepted

Advancements in Biological Signal Processing (BSP) and Machine-Learning (ML) models have paved the path for development of novel immersive Human-Machine Interfaces (HMI). In this context, there has been a surge of significant interest in Hand Gesture Recognition (HGR) utilizing Surface-Electromyogra…

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2022

Hand Gesture Recognition Using Temporal Convolutions and Attention Mechanism

Elahe Rahimian, Soheil Zabihi, Amir Asif, Dario Farina, Seyed Farokh Atashzar, Arash Mohammadi
ICASSP 2022accepted

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 Interfaces for decoding the human intent and controlling artificial limbs. DNN models have shown promising results with respect…

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2021

Few-Shot Learning for Decoding Surface Electromyography for Hand Gesture Recognition

Elahe Rahimian, Soheil Zabihi, Amir Asif, Seyed Farokh Atashzar, Arash Mohammadi
ICASSP 2021accepted

This work is motivated by the recent advancements of Deep Neural Networks (DNNs) for myoelectric prosthesis control. In this regard, hand gesture recognition via surface Electromyogram (sEMG) signals has shown a high potential for improving the performance of myoelectric control prostheses. Although…

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2020

XceptionTime: Independent Time-Window Xceptiontime Architecture for Hand Gesture Classification

Elahe Rahimian, Soheil Zabihi, Seyed Farokh Atashzar, Amir Asif, Arash Mohammadi
ICASSP 2020accepted

Capitalizing on the goal of addressing identified shortcomings of recent solutions developed for recognition tasks via sparse multichannel surface Electromyography (sEMG) signals, the paper proposes a novel deep learning model, referred to as the XceptionTime architecture. The proposed innovative Xc…

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