Hand gesture interface based on improved adaptive hand area detection and contour signature

Lei Gu, Xiaoyang Yuan, Takeshi Ikenaga

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

7 Citations (Scopus)

Abstract

HMD (head-mounted display) as a promising device is becoming more and more important in daily life. Many companies has been working on it for the next generation human-interface system. This paper presents a real-time hand gesture interface based on TSL (Hue, Saturation, Luminance) adaptive area detection and distance signature with single camera. First, apply self-adaptive skin color detection in TSL color space where skin color data can be clustered to segment hand area. Second, acquire the distance signatures from hand shape contours and obtain possible finger points which reduce the hand gesture recognition problem into finding peaks of one dimensional signature. Last, finger points are labeled by the information of signature. ROC (Receiver Operating Characteristic) Analysis shows the proposed hand area detection method always gives a result in feasible area (TPR>0.91, FPR<0.1) which is suitable for the following contour analysis, indicating that it's more stable and robust compared with other skin color based methods. The evaluation results show the potential of real-time on PC at around 10 fps.

Original languageEnglish
Title of host publicationISPACS 2012 - IEEE International Symposium on Intelligent Signal Processing and Communications Systems
Pages463-468
Number of pages6
DOIs
Publication statusPublished - 2012 Dec 1
Event20th IEEE International Symposium on Intelligent Signal Processing and Communications Systems, ISPACS 2012 - Tamsui, New Taipei City, Taiwan, Province of China
Duration: 2012 Nov 42012 Nov 7

Publication series

NameISPACS 2012 - IEEE International Symposium on Intelligent Signal Processing and Communications Systems

Conference

Conference20th IEEE International Symposium on Intelligent Signal Processing and Communications Systems, ISPACS 2012
CountryTaiwan, Province of China
CityTamsui, New Taipei City
Period12/11/412/11/7

Keywords

  • adpaptive skin area detection
  • distance based gesture detection
  • hand area detection

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing

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  • Cite this

    Gu, L., Yuan, X., & Ikenaga, T. (2012). Hand gesture interface based on improved adaptive hand area detection and contour signature. In ISPACS 2012 - IEEE International Symposium on Intelligent Signal Processing and Communications Systems (pp. 463-468). [6473534] (ISPACS 2012 - IEEE International Symposium on Intelligent Signal Processing and Communications Systems). https://doi.org/10.1109/ISPACS.2012.6473534