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

Lei Gu, Xiaoyang Yuan, Takeshi Ikenaga

研究成果: Conference contribution

7 引用 (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.

元の言語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
出版物ステータスPublished - 2012
イベント20th IEEE International Symposium on Intelligent Signal Processing and Communications Systems, ISPACS 2012 - Tamsui, New Taipei City
継続期間: 2012 11 42012 11 7

Other

Other20th IEEE International Symposium on Intelligent Signal Processing and Communications Systems, ISPACS 2012
Tamsui, New Taipei City
期間12/11/412/11/7

Fingerprint

Color
Skin
Gesture recognition
Luminance
Cameras
Display devices
Industry

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing

これを引用

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

Hand gesture interface based on improved adaptive hand area detection and contour signature. / Gu, Lei; Yuan, Xiaoyang; Ikenaga, Takeshi.

ISPACS 2012 - IEEE International Symposium on Intelligent Signal Processing and Communications Systems. 2012. p. 463-468 6473534.

研究成果: Conference contribution

Gu, L, Yuan, X & Ikenaga, T 2012, Hand gesture interface based on improved adaptive hand area detection and contour signature. : ISPACS 2012 - IEEE International Symposium on Intelligent Signal Processing and Communications Systems., 6473534, pp. 463-468, 20th IEEE International Symposium on Intelligent Signal Processing and Communications Systems, ISPACS 2012, Tamsui, New Taipei City, 12/11/4. https://doi.org/10.1109/ISPACS.2012.6473534
Gu L, Yuan X, Ikenaga T. Hand gesture interface based on improved adaptive hand area detection and contour signature. : ISPACS 2012 - IEEE International Symposium on Intelligent Signal Processing and Communications Systems. 2012. p. 463-468. 6473534 https://doi.org/10.1109/ISPACS.2012.6473534
Gu, Lei ; Yuan, Xiaoyang ; Ikenaga, Takeshi. / Hand gesture interface based on improved adaptive hand area detection and contour signature. ISPACS 2012 - IEEE International Symposium on Intelligent Signal Processing and Communications Systems. 2012. pp. 463-468
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