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20172025
most citedXceptionTime: A Novel Deep Architecture based on Depthwise Separable Convolutions for Hand Gesture Classification

38 citations · 122 across the 25 of their papers we have counts for

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6 papers · 1 filter

eess.SP2025★ 1 cited

A Systematic Review of EEG-based Machine Intelligence Algorithms for Depression Diagnosis, and Monitoring

Amir Nassibi, Christos Papavassiliou, Ildar Rakhmatulin +2

Depression disorder is a serious health condition that has affected the lives of millions of people around the world. Diagnosis of depression is a challenging practice that relies…

eess.SP2024

An LSTM Feature Imitation Network for Hand Movement Recognition from sEMG Signals

Chuheng Wu, S. Farokh Atashzar, Mohammad M. Ghassemi +1

Surface Electromyography (sEMG) is a non-invasive signal that is used in the recognition of hand movement patterns, the diagnosis of diseases, and the robust control of prostheses.…

eess.SP2023

A Deep Learning Sequential Decoder for Transient High-Density Electromyography in Hand Gesture Recognition Using Subject-Embedded Transfer Learning

Golara Ahmadi Azar, Qin Hu, Melika Emami +3

Hand gesture recognition (HGR) has gained significant attention due to the increasing use of AI-powered human-computer interfaces that can interpret the deep spatiotemporal dynamic…

eess.SP2022★ 2 cited

Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike Trains

Mansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani +3

Designing efficient and labor-saving prosthetic hands requires powerful hand gesture recognition algorithms that can achieve high accuracy with limited complexity and latency. In t…

eess.SP2022

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

Mansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani +3

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-Ph…

eess.SP2017

WAKE: Wavelet Decomposition Coupled with Adaptive Kalman Filtering for Pathological Tremor Extraction

Soroosh Shahtalebi, Seyed Farokh Atashzar, Rajni V. Patel +1

Pathological Hand Tremor (PHT) is among common symptoms of several neurological movement disorders, which can significantly degrade quality of life of affected individuals. Beside…