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. |
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| 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 |
| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-024-72996-7 |
