Cited by 74Muscle activation and electromyography studiesHand Gesture Recognition SystemsEmotion and Mood Recognition

A survey on hand gesture recognition based on surface electromyography: Fundamentals, methods, applications, challenges and future trends

Ni, Sike, Al-qaness, Mohammed A.A., Hawbani, Ammar, Al-Alimi, Dalal, Abd Elaziz, Mohamed, Ewees, Ahmed A.·2024·Applied Soft Computing

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Crossref · 10.1016/j.asoc.2024.112235

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  • Muscle activation features are mainly acquired through sEMG, but this signal is easily affected by electrode displacement and sweat interference during actual wearing, leading to signal distortion or loss, which severely impacts the accuracy of muscle intention extraction.

    “For example, muscle activation features are mainly acquired through sEMG, but this signal is easily affected by electrode displacement and sweat interference during actual wearing, leading to signal distortion or loss, which severely impacts the accuracy of muscle intention extraction 174 .”

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References 211 · Cited by 74

Authors
Ni, S., Al-qaness, M. A. A., Hawbani, A., Al-Alimi, D., Abd Elaziz, M., & Ewees, A. A.
Affiliations
  • Zhejiang Normal University (CN)
  • Shenyang Aerospace University (CN)
  • Gulf College (SA)
  • Damietta University (EG)
Venue
Applied Soft Computing
Publisher
Elsevier BV
Published
2024-11
Volume
166
Pages
112235
ISSN
1568-4946 (ISSN-L)
OpenAlex
W4402450020
Cited by
74
References
211
Citations by year
2026: 32 · 2025: 40 · 2024: 2
FWCI
8.13
Type
journal article
Language
en
Open access
closed
Locations
Applied Soft Computing (publishedVersion)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
  • Physical Sciences › Computer Science › Human-Computer Interaction › Hand Gesture Recognition Systems
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
Keywords
hand gesture recognition, surface electromyography, feature extraction, sEMG classification, deep learning, human-computer interaction, sign language recognition, rehabilitation, prosthetic control, exoskeleton, consequences of migration

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