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Applications of hand gestures recognition in industrial robots: a review
Author(s): Qujiang Lei; Hongda Zhang; Zanwu Xia; Yang Yang; Yue He; Shoubin Liu
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Paper Abstract

Hand gesture recognition (HGR) is a natural way of Human Machine Interaction and has been applied on different areas. In this paper, we discuss 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 review several related works in the area of HGR based on different approaches including sensor based approach and vision approach. After comparing the two 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.

Paper Details

Date Published: 15 March 2019
PDF: 11 pages
Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 110411Q (15 March 2019); doi: 10.1117/12.2522962
Show Author Affiliations
Qujiang Lei, Guangzhou Institute of Advanced Technology (China)
Hongda Zhang, Guangzhou Institute of Advanced Technology (China)
Harbin Institute of Technology (China)
Zanwu Xia, Guangzhou Institute of Advanced Technology (China)
Yang Yang, Guangzhou Institute of Advanced Technology (China)
Yue He, Guangzhou Institute of Advanced Technology (China)
Shoubin Liu, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 11041:
Eleventh International Conference on Machine Vision (ICMV 2018)
Antanas Verikas; Dmitry P. Nikolaev; Petia Radeva; Jianhong Zhou, Editor(s)

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