Biologically inspired vision for human-robot interaction

Mario Saleiro*, Miguel Farrajota, Kasim Terzić, Sai Krishna, João M.F. Rodrigues, J. M.Hans du Buf

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Human-robot interaction is an interdisciplinary research area that is becoming more and more relevant as robots start to enter our homes, workplaces, schools, etc. In order to navigate safely among us, robots must be able to understand human behavior, to communicate, and to interpret instructions from humans, either by recognizing their speech or by understanding their body movements and gestures. We present a biologically inspired vision system for human-robot interaction which integrates several components: visual saliency, stereo vision, face and hand detection and gesture recognition. Visual saliency is computed using color, motion and disparity. Both the stereo vision and gesture recognition components are based on keypoints coded by means of cortical V1 simple, complex and end-stopped cells. Hand and face detection is achieved by using a linear SVM classifier. The system was tested on a child-sized robot.

Original languageEnglish
Title of host publicationUniversal Access in Human-Computer Interaction. Access to Interaction
Subtitle of host publication9th International Conference, UAHCI 2015, Held as Part of HCI International 2015, Los Angeles, CA, USA, August 2-7, 2015, Proceedings, Part II
EditorsMargherita Antona, Constantine Stephanidis
Place of PublicationCham
PublisherSpringer
Pages505-517
Number of pages13
ISBN (Electronic)9783319206813
ISBN (Print)9783319206806
DOIs
Publication statusPublished - 2015
Event9th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015 - Los Angeles, United States
Duration: 2 Aug 20157 Aug 2015
Conference number: 9
http://2015.hci.international/uahci

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9176
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015
Abbreviated titleUAHCI
Country/TerritoryUnited States
CityLos Angeles
Period2/08/157/08/15
Internet address

Keywords

  • Biological framework
  • Hand gestures
  • Human-robot interaction

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