A gesture recognition algorithm for vision-based unicursal gesture interfaces

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

研究成果: 書籍の章/レポート/Proceedings会議への寄与査読

2 被引用数 (Scopus)

抄録

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.

本文言語英語
ホスト出版物のタイトルEuroiTV'12 - Proceedings of the 10th European Conference on Interactive TV and Video
ページ53-56
ページ数4
DOI
出版ステータス出版済み - 2012
イベント10th European Conference on Interactive TV and Video, EuroiTV'12 - Berlin, ドイツ
継続期間: 2012 7月 42012 7月 6

出版物シリーズ

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

会議

会議10th European Conference on Interactive TV and Video, EuroiTV'12
国/地域ドイツ
CityBerlin
Period12/7/412/7/6

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