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Hand gesture recognition using sEMG signals with a multi-stream time-varying feature enhancement approach.

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Title: Hand gesture recognition using sEMG signals with a multi-stream time-varying feature enhancement approach.
Authors: Shin J; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima, 965-0006, Japan. jpshin@u-aizu.ac.jp., Miah ASM; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima, 965-0006, Japan., Konnai S; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima, 965-0006, Japan., Takahashi I; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima, 965-0006, Japan., Hirooka K; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima, 965-0006, Japan.
Source: Scientific reports [Sci Rep] 2024 Sep 27; Vol. 14 (1), pp. 22061. Date of Electronic Publication: 2024 Sep 27.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Shin+J%22">Shin J</searchLink>; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima, 965-0006, Japan. jpshin@u-aizu.ac.jp.<br /><searchLink fieldCode="AU" term="%22Miah+ASM%22">Miah ASM</searchLink>; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima, 965-0006, Japan.<br /><searchLink fieldCode="AU" term="%22Konnai+S%22">Konnai S</searchLink>; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima, 965-0006, Japan.<br /><searchLink fieldCode="AU" term="%22Takahashi+I%22">Takahashi I</searchLink>; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima, 965-0006, Japan.<br /><searchLink fieldCode="AU" term="%22Hirooka+K%22">Hirooka K</searchLink>; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima, 965-0006, Japan.
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  Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2024 Sep 27; Vol. 14 (1), pp. 22061. <i>Date of Electronic Publication: </i>2024 Sep 27.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE
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        Value: 10.1038/s41598-024-72996-7
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      – TitleFull: Hand gesture recognition using sEMG signals with a multi-stream time-varying feature enhancement approach.
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              Text: 2024 Sep 27
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