Hybrid gesture recognition system for short-range use

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

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

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.

Original languageEnglish
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Image Processing
Subtitle of host publicationAlgorithms and Systems X; and Parallel Processing for Imaging Applications II
DOIs
Publication statusPublished - 2012
Externally publishedYes
EventImage Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II - Burlingame, CA, United States
Duration: 2012 Jan 232012 Jan 25

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8295
ISSN (Print)0277-786X

Conference

ConferenceImage Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II
CountryUnited States
CityBurlingame, CA
Period12/1/2312/1/25

Keywords

  • detection based gesture recognition
  • Gesture recognition
  • hybrid approach
  • motion based gesture detection
  • short-range gesture recognition

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Minagawa, A., Fan, W., Katsuyama, Y., Takebe, H., Ozawa, N., Hotta, Y., & Sun, J. (2012). Hybrid gesture recognition system for short-range use. In Proceedings of SPIE-IS and T Electronic Imaging - Image Processing: Algorithms and Systems X; and Parallel Processing for Imaging Applications II [82950U] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8295). https://doi.org/10.1117/12.906953