ウ　ジンソク   WOO JINSEOK   禹　珍碩    所属   工学部 機械工学科    職種   准教授
言語種別	英語
発行・発表の年月	2026/07
形態種別	学術論文
査読	査読あり
標題	Design and Implementation of a Nonverbal Information Analysis System
執筆形態	共著
掲載誌名	Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII)
掲載区分	国外
出版社・発行元	Fuji Technology Press Ltd.
巻・号・頁	30(4),pp.1025-1032
総ページ数	8
担当区分	筆頭著者,責任著者
著者・共著者	Jinseok Woo, Chifuyu Matsumoto, Yuka Sone
概要	In recent years, achieving sustainable development goals has required of personalized support systems that can adapt to diverse users through natural human–system interactions. Understanding the nonverbal information of users is essential for facilitating these interactions. In this study, we focus on human gestures as a fundamental nonverbal modality that conveys user emotions and intentions. Therefore, we propose a gesture analysis system based on the relative positions of human joints and arm orientations. Using an RGB-D camera, we acquire human skeletal information and develop a gesture recognition system. Within this system, two analytical approaches are investigated: dynamic time warping-based classification method and a neural network-based classification methods. Through experimental evaluation of a small-scale dataset, we analyze the behavioral characteristics and recognition tendencies of each approach under controlled conditions. In addition, we present several cases demonstrating the effectiveness of the proposed system and discuss its applicability.
DOI	doi: 10.20965/jaciii.2026.p1025
外部リンクURL	https://www.fujipress.jp/jaciii/jc/jacii003000041025/