Static hand gesture recognition with parallel CNNs for space human-robot interaction

Qing Gao, Jinguo Liu, Zhaojie Ju, Yangmin Li, Tian Zhang, Lu Zhang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

18 Citations (Scopus)

Abstract

As a new type of human-robot interaction (HRI), hand gesture has many advantages such as natural operation, rich expression and not subject to environ-mental constraints. So it is very suitable for space human-robot interaction tasks in special and harsh environment. Considering that static hand gesture is one of the main gesture expressions in human-computer interaction, so a parallel convolution neural networks (CNNs) is designed to improve the accuracy of static hand gesture recognition in the conditions of complex background and changing illumination. In addition, the method is applied to the operation of space human-robot system with hand gesture control. Various space HRI hand gestures from different subjects are evaluated and tested, and experimental results demonstrate that the proposed method outperforms the single-channel CNN methods and other popular methods with a higher accuracy.
Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 10th International Conference, ICIRA 2017, Proceedings
PublisherSpringer Verlag
Pages462-473
Number of pages12
ISBN (Print)9783319652887
DOIs
Publication statusPublished - 1 Jan 2017
Externally publishedYes
Event10th International Conference on Intelligent Robotics and Applications, ICIRA 2017 - Wuhan, China
Duration: 16 Aug 201718 Aug 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10462 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Intelligent Robotics and Applications, ICIRA 2017
CountryChina
CityWuhan
Period16/08/1718/08/17

Keywords

  • CNN
  • Hand gesture recognition
  • HRI
  • Space robot

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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