Hybrid gesture recognition system for short-range use

Akihiro Minagawa; Wei Fan; Yutaka Katsuyama; Hiroaki Takebe; Noriaki Ozawa; Yoshinobu Hotta; Jun Sun

doi:10.1117/12.906953

2 February 2012 Hybrid gesture recognition system for short-range use

Akihiro Minagawa, Wei Fan, Yutaka Katsuyama, Hiroaki Takebe, Noriaki Ozawa, Yoshinobu Hotta, Jun Sun

Proceedings Volume 8295, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II; 82950U (2012) https://doi.org/10.1117/12.906953
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

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.

Citation Download Citation

Akihiro Minagawa, Wei Fan, Yutaka Katsuyama, Hiroaki Takebe, Noriaki Ozawa, Yoshinobu Hotta, and Jun Sun "Hybrid gesture recognition system for short-range use", Proc. SPIE 8295, Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II, 82950U (2 February 2012); https://doi.org/10.1117/12.906953

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KEYWORDS

Gesture recognition

Cameras

Error analysis

Motion detection

Switching

Imaging systems

Detection and tracking algorithms

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