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A robust vision-based hand gesture recognition system for appliance control in smart homes

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

Abstract

Adopting a hand gesture based appliance control system would be a virtuous idea for smart homes. However, complexity of the home background makes it challenging to work such systems in real home environments. In this paper, we present developing a robust system which can practically be used in complex backgrounds. The users are required to wear neither wristbands nor long-sleeved garments. In order to achieve this, we use TRS moment invariants combined with Viola-Jones object detection framework. We demonstrate the performance of the system in different complex backgrounds by controlling a pedestal fan.

Original languageEnglish (US)
Title of host publication2012 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012
Pages760-763
Number of pages4
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 2nd IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012 - Hong Kong, China
Duration: Aug 12 2012Aug 15 2012

Publication series

Name2012 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012

Conference

Conference2012 2nd IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012
Country/TerritoryChina
CityHong Kong
Period8/12/128/15/12

Keywords

  • TRS moment invariants
  • Viola-Jones object detection framework
  • smart home

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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