Applications of hand gestures recognition in industrial robots: a review

Qujiang Lei; Hongda Zhang; Zanwu Xia; Yang Yang; Yue He; Shoubin Liu

doi:10.1117/12.2522962

15 March 2019 Applications of hand gestures recognition in industrial robots: a review

Qujiang Lei, Hongda Zhang, Zanwu Xia, Yang Yang, Yue He, Shoubin Liu

Proceedings Volume 11041, Eleventh International Conference on Machine Vision (ICMV 2018); 110411Q (2019) https://doi.org/10.1117/12.2522962
Event: Eleventh International Conference on Machine Vision (ICMV 2018), 2018, Munich, Germany

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.

Citation Download Citation

Qujiang Lei, Hongda Zhang, Zanwu Xia, Yang Yang, Yue He, and Shoubin Liu "Applications of hand gestures recognition in industrial robots: a review", Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 110411Q (15 March 2019); https://doi.org/10.1117/12.2522962

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