상세 보기
RGB-D camera-based hand shape recognition for human-robot interaction
- Choi, Junyeong;
- Seo, Byung-Kuk;
- Lee, Daeseon;
- Park, Hanhoon;
- Park, Jong-Il
Citations
SCOPUS
6초록
Hand is the most popularly used tool for human-robot interaction. Therefore, this paper proposes a Kinect-based hand shape recognition method for human-robot interaction. Kinect can capture color and depth images simultaneously and its SDK provides functions to track the human skeleton. Therefore, the proposed method can detect hands robustly by using the skeleton and depth information. In results, it can recognize various hand shapes based on contour analysis with a high recognition rate (95% on average) and works in real-time (over 30 frames/sec).
키워드
Hand shape recognition; human-robot interaction; interface; Kinect; Camera-based; Color and depth images; Contour analysis; Depth information; Hand shape; Hand shape recognition; Human skeleton; Kinect; Interfaces (materials); Man machine systems; Musculoskeletal system; Robotics; Human robot interaction
- 제목
- RGB-D camera-based hand shape recognition for human-robot interaction
- 저자
- Choi, Junyeong; Seo, Byung-Kuk; Lee, Daeseon; Park, Hanhoon; Park, Jong-Il
- 발행일
- 2013-10
- 유형
- Conference Paper
- 저널명
- 2013 44th International Symposium on Robotics, ISR 2013
- 페이지
- 1 ~ 2