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

Lei Gu*, Xiaoyang Yuan, Takeshi Ikenaga

*この研究の対応する著者

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルISPACS 2012 - IEEE International Symposium on Intelligent Signal Processing and Communications Systems
ページ463-468
ページ数6
DOI
出版ステータスPublished - 2012 12月 1
イベント20th IEEE International Symposium on Intelligent Signal Processing and Communications Systems, ISPACS 2012 - Tamsui, New Taipei City, Taiwan, Province of China
継続期間: 2012 11月 42012 11月 7

出版物シリーズ

名前ISPACS 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
国/地域Taiwan, Province of China
CityTamsui, New Taipei City
Period12/11/412/11/7

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • 信号処理

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