|
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 | 2024/11 |
| 形態種別 | 国際会議論文 |
| 査読 | 査読あり |
| 標題 | Development of a Gesture Analysis System for Human System Interaction |
| 執筆形態 | 共著 |
| 掲載誌名 | Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2024) |
| 掲載区分 | 国外 |
| 出版社・発行元 | IEEE |
| 巻・号・頁 | pp.1-5 |
| 総ページ数 | 5 |
| 担当区分 | 最終著者,責任著者 |
| 著者・共著者 | Chifuyu Matsumoto, Yuka Sone, Jinseok Woo, Yasuhiro Ohyama |
| 概要 | Recently, Japan has been facing various social issues, and to solve these problems, it is necessary to create a society where diverse people can live comfortably. To build such a society, appropriate support tailored to individuals is required, and this necessitates the analysis of various types of information to understand what people need at any given moment. In particular, analyzing non-verbal elements such as posture, facial expressions, and gestures is crucial, as these naturally indicate a person's condition. Therefore, this study focuses on human gestures, one of the non-verbal elements, and proposes a gesture recognition method using Dynamic Time Warping (DTW) and K-Means. We demonstrated that symbolic gesture recognition is possible by recording arm trajectories from skeletal measurements with an RGB-D camera. |
| 外部リンクURL | http://soft-cr.org/scis/2024/ |