中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An Investigation of Applications of Hand Gestures Recognition in Industrial Robots

文献类型:期刊论文

作者Hongda Zhang; Yang Yang; Yue He; Yang Bai; Shoubin Liu; Qujiang Lei
刊名International Journal Of Mechanical Engineering and Robotics Research
出版日期2018
文献子类期刊论文
英文摘要Hand gesture recognition (HGR) is a natural way of Human Machine Interaction and has been applied on different areas. In this paper, we discussed works done in the area of applications of HGR in industrial robots where focus is on the processing steps and techniques in gesture-based Human Robot Interaction (HRI), which can provide useful information for other researchers. We reviewed several related works in the area of HGR based on different methods including sensor based approaches and vision based approaches. After comparing the two types of approaches, we found that 3D vision-based HGR method is a challenging but promising researching area. Then concerning works of implementation of HGR in industrial scenario are discussed in detail. Pattern recognition algorithms that effectively used in HGR like k-means, DTW etc. are briefly introduced as well. Finally, after reviewing some works done in the area of designing gesture set, we proposed several principles in designing industrial hand gesture commands.
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/14799]  
专题深圳先进技术研究院_南沙所
推荐引用方式
GB/T 7714
Hongda Zhang,Yang Yang,Yue He,et al. An Investigation of Applications of Hand Gestures Recognition in Industrial Robots[J]. International Journal Of Mechanical Engineering and Robotics Research,2018.
APA Hongda Zhang,Yang Yang,Yue He,Yang Bai,Shoubin Liu,&Qujiang Lei.(2018).An Investigation of Applications of Hand Gestures Recognition in Industrial Robots.International Journal Of Mechanical Engineering and Robotics Research.
MLA Hongda Zhang,et al."An Investigation of Applications of Hand Gestures Recognition in Industrial Robots".International Journal Of Mechanical Engineering and Robotics Research (2018).

入库方式: OAI收割

来源:深圳先进技术研究院

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