Ubiquitous human perception for real-time gender estimation

Anara Sandygulova, David Swords, Sameh Abdalla, Mauro Dragone, Gregory M P O'Hare

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

5 Citations (Scopus)

Abstract

In environments where robotic systems are deployed people often have different requirements for the robotic services and human-robot interaction methods. This paper presents a robotic system that exploits the advantages of ubiquitous perception in order to gather knowledge from multiple sensors and various modalities. This ubiquitous human perception will facilitate user profiling in order to support personalised services and individual human-robot interaction. This system combines ubiquitous smart sensing, methods of multi-modal human perception and existing human recognition algorithms from the field of biometrics to collectively work towards a real-time, robust and scalable solution for gender estimation.

Original languageEnglish
Title of host publication2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2013
PublisherIEEE Computer Society
Pages114-119
Number of pages6
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2013 - Jeju, Korea, Republic of
Duration: Oct 30 2013Nov 2 2013

Other

Other2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2013
CountryKorea, Republic of
CityJeju
Period10/30/1311/2/13

Keywords

  • Human-Robot Interaction
  • Robotics
  • Smart Environments
  • Ubiquitous Perception

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction

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