A gesture recognition algorithm for vision-based unicursal gesture interfaces

Ryosuke Aoki, Bessie Chan, Masayuki Ihara, Toru Kobayashi, Minoru Kobayashi, Shingo Kagami

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

2 Citations (Scopus)

Abstract

Network communication services such as Skype or gaming applications using interactive TVs with cameras and IR-sensors have begun to appear. Vision-based recognition systems using hand gestures to control applications such as TV menus are gaining popularity in the market. It is crucial that the VGI is simple, easily used and allows users to comfortably command TVs. For simple and easy to use VGIs, we focus on vision-based unicursal gesture interfaces (VUGI) which recognizes both the shape of a unicursal figure drawn by a user and orientation indicated by the start position of the unicursal figure. In this paper, we propose Support Vector Machines (SVM) using Distance to Border (DtB) features to increase the number of recognized unicursal gestures. We evaluated the performance of the proposed algorithm in an experiment and the mean recognition rate of eight unicursal figures was 94.6% and the maximum recognition processing time was 9.56ms.

Original languageEnglish
Title of host publicationEuroiTV'12 - Proceedings of the 10th European Conference on Interactive TV and Video
Pages53-56
Number of pages4
DOIs
Publication statusPublished - 2012 Aug 13
Event10th European Conference on Interactive TV and Video, EuroiTV'12 - Berlin, Germany
Duration: 2012 Jul 42012 Jul 6

Publication series

NameEuroiTV'12 - Proceedings of the 10th European Conference on Interactive TV and Video

Other

Other10th European Conference on Interactive TV and Video, EuroiTV'12
CountryGermany
CityBerlin
Period12/7/412/7/6

Keywords

  • DTB
  • SVM
  • VUGI
  • gesture
  • menu selection

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

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