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Proceedings Paper

Hybrid gesture recognition system for short-range use
Author(s): Akihiro Minagawa; Wei Fan; Yutaka Katsuyama; Hiroaki Takebe; Noriaki Ozawa; Yoshinobu Hotta; Jun Sun
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Paper Abstract

In recent years, various gesture recognition systems have been studied for use in television and video games[1]. In such systems, motion areas ranging from 1 to 3 meters deep have been evaluated[2]. However, with the burgeoning popularity of small mobile displays, gesture recognition systems capable of operating at much shorter ranges have become necessary. The problems related to such systems are exacerbated by the fact that the camera's field of view is unknown to the user during operation, which imposes several restrictions on his/her actions. To overcome the restrictions generated from such mobile camera devices, and to create a more flexible gesture recognition interface, we propose a hybrid hand gesture system, in which two types of gesture recognition modules are prepared and with which the most appropriate recognition module is selected by a dedicated switching module. The two recognition modules of this system are shape analysis using a boosting approach (detection-based approach)[3] and motion analysis using image frame differences (motion-based approach)(for example, see[4]). We evaluated this system using sample users and classified the resulting errors into three categories: errors that depend on the recognition module, errors caused by incorrect module identification, and errors resulting from user actions. In this paper, we show the results of our investigations and explain the problems related to short-range gesture recognition systems.

Paper Details

Date Published: 2 February 2012
PDF: 6 pages
Proc. SPIE 8295, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, 82950U (2 February 2012); doi: 10.1117/12.906953
Show Author Affiliations
Akihiro Minagawa, Fujitsu Labs. Ltd. (Japan)
Wei Fan, Fujitsu Research and Development Center Co., Ltd. (China)
Yutaka Katsuyama, Fujitsu Labs. Ltd. (Japan)
Hiroaki Takebe, Fujitsu Labs. Ltd. (Japan)
Noriaki Ozawa, Fujitsu Labs. Ltd. (Japan)
Yoshinobu Hotta, Fujitsu Labs. Ltd. (Japan)
Jun Sun, Fujitsu Research and Development Center Co., Ltd. (China)


Published in SPIE Proceedings Vol. 8295:
Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II
Karen O. Egiazarian; John Recker; Guijin Wang; Sos S. Agaian; Atanas P. Gotchev, Editor(s)

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