Volume 8, No. 5, September 2019

General Information

  • ISSN: 2278-0149 (Online)
  • Abbreviated Title:  Int. J. Mech. Eng. Robot. Res.  
  • Editor-in-Chief: ​Prof Richard (Chunhui) Yang, Western Sydney University, Australia
  • Associate Editor: Prof. B.V. Appa Rao, Andhra University; Prof. Ian R. McAndrew, Capitol Technology University, USA
  • Managing Editor: Murali Krishna. B
  • DOI: 10.18178/ijmerr
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International Journal of Mechanical Engineering and Robotics Research
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An Investigation of Applications of Hand Gestures Recognition in Industrial Robots

Qujiang Lei1, Hongda Zhang1,2, Yang Yang1, Yue He1, Yang Bai1, and Shoubin Liu2
1. Guangzhou Institute of Advanced Technology, Chinese Academy of Sciences
2. Harbin Institute of Technology (HIT), Shenzhen

Abstract—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. 

Index Terms—Hand gesture recognition, human Robot Interaction, industrial robot, pattern recognition algorithm, gesture set for industry.

Cite: Qujiang Lei, Hongda Zhang, Yang Yang, Yue He, Yang Bai, and Shoubin Liu, "An Investigation of Applications of Hand Gestures Recognition in Industrial Robots" International Journal of Mechanical Engineering and Robotics Research, Vol. 8, No. 5, pp. 729-741, September 2019. DOI: 10.18178/ijmerr.8.5.729-741