Computer vision-based hand gesture recognition for human-robot interaction: a review

Jing Qi, Li Ma, Zhenchao Cui, Yushu Yu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

As robots have become more pervasive in our daily life, natural human-robot interaction (HRI) has had a positive impact on the development of robotics. Thus, there has been growing interest in the development of vision-based hand gesture recognition for HRI to bridge human-robot barriers. The aim is for interaction with robots to be as natural as that between individuals. Accordingly, incorporating hand gestures in HRI is a significant research area. Hand gestures can provide natural, intuitive, and creative methods for communicating with robots. This paper provides an analysis of hand gesture recognition using both monocular cameras and RGB-D cameras for this purpose. Specifically, the main process of visual gesture recognition includes data acquisition, hand gesture detection and segmentation, feature extraction and gesture classification, which are discussed in this paper. Experimental evaluations are also reviewed. Furthermore, algorithms of hand gesture recognition for human-robot interaction are examined in this study. In addition, the advances required for improvement in the present hand gesture recognition systems, which can be applied for effective and efficient human-robot interaction, are discussed.

Original languageEnglish
Pages (from-to)1581-1606
Number of pages26
JournalComplex and Intelligent Systems
Volume10
Issue number1
DOIs
Publication statusPublished - Feb 2024

Keywords

  • Hand gesture recognition
  • Human-robot interaction
  • RGB-D camera
  • Robot

Fingerprint

Dive into the research topics of 'Computer vision-based hand gesture recognition for human-robot interaction: a review'. Together they form a unique fingerprint.

Cite this