Fall recognition using a three stream spatio temporal GCN model with adaptive feature aggregation.

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Bibliographic Details
Title: Fall recognition using a three stream spatio temporal GCN model with adaptive feature aggregation.
Authors: Shin J; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan. jpshin@u-aizu.ac.jp., Miah ASM; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan., Egawa R; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan., Hirooka K; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan., Hasan MAM; Department of Computer Science and Engineering, Rajshahi University of Engineering & Technology, Rajshahi, 6204, Bangladesh., Tomioka Y; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Japan., Hwang YS; Electronics engineering, Kwangwoon University, Seoul, South Korea. thestone@kw.ac.kr.
Source: Scientific reports [Sci Rep] 2025 Mar 27; Vol. 15 (1), pp. 10635. Date of Electronic Publication: 2025 Mar 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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ISSN:2045-2322
DOI:10.1038/s41598-025-95508-7