Hand Detection and Location Based on Improved SSD for Space Human-Robot Interaction

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

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

2 Citations (Scopus)

Abstract

In the astronaut-space robot interaction based on hand gestures, the detection and location of hands are the premise and basis of vision-based hand gesture recognition and hand tracking. In this paper, the SSD (Single Shot Multibox Detector) which is a kind of deep learning model is utilized to detect and locate astronaut’s hands for space human-robot interaction (SHRI) based on hand gestures. First of all, in order to meet the needs of hand detection and location, an improved SSD model is designed to detect hands when they are shown as small targets in images. Then, a platform for SHRI is built and a set of hand gestures for SHRI are designed. Finally, the proposed SSD model is validated experimentally on a homemade hand gesture database for proving the superiority of this improved SSD model to small target hands detection.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 11th International Conference, ICIRA 2018, Proceedings
EditorsShifeng Chen, Zhiyong Chen, Alexandre Mendes, Yamin Yan
PublisherSpringer-Verlag
Pages164-175
Number of pages12
ISBN (Print)9783319975856
DOIs
Publication statusPublished - 1 Jan 2018
Event11th International Conference on Intelligent Robotics and Applications, ICIRA 2018 - Newcastle, Australia
Duration: 9 Aug 201811 Aug 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10984 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Intelligent Robotics and Applications, ICIRA 2018
Country/TerritoryAustralia
CityNewcastle
Period9/08/1811/08/18

Keywords

  • Deep learning
  • Hands detection
  • Human-robot interaction
  • SSD

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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