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Dynamic Japanese Sign Language Recognition Throw Hand Pose Estimation Using Effective Feature Extraction and Classification Approach.

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Title: Dynamic Japanese Sign Language Recognition Throw Hand Pose Estimation Using Effective Feature Extraction and Classification Approach.
Authors: Kakizaki M; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu 965-8580, Japan., Miah ASM; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu 965-8580, Japan., Hirooka K; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu 965-8580, Japan., Shin J; School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu 965-8580, Japan.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2024 Jan 26; Vol. 24 (3). Date of Electronic Publication: 2024 Jan 26.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1424-8220
DOI:10.3390/s24030826