Real-time hand shape recognition for human interface

Shuhei Horimoto, Daisaku Arita, Rin Ichiro Taniguchi

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

3 Citations (Scopus)

Abstract

Recently, a natural and user-friendly human interface has been actively researched. Although conventional user interfaces are based on keyboards and mice, human body actions can be used for a human-machine interface. From this point of view, we have researched into vision-based real-time human motion analysis. The important point is that we have employed vision-based methods, because they do not impose any physical restrictions on users. We present a robust hand shape recognition system based on an eigenspace method, in which we employ a simple additional learning feature, and we show its performance through some experiments.

Original languageEnglish
Title of host publicationProceedings - 12th International Conference on Image Analysis and Processing, ICIAP 2003
Pages20-25
Number of pages6
DOIs
Publication statusPublished - 2003
Event12th International Conference on Image Analysis and Processing, ICIAP 2003 - Mantova, Italy
Duration: Sep 17 2003Sep 19 2003

Publication series

NameProceedings - 12th International Conference on Image Analysis and Processing, ICIAP 2003

Other

Other12th International Conference on Image Analysis and Processing, ICIAP 2003
CountryItaly
CityMantova
Period9/17/039/19/03

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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