Earticle

초록

영어

In this paper, we present a face and gesture based human computer interaction (HCI) system. We combine head pose and hand gesture to control the system. We can identify the positions of the eyes and mouth, and use the face center to estimate the pose of the head. Moreover, we introduce a technique for automatic gesture area segmentation and orientation normalization of the hand gesture. The user does not need to keep gestures in upright position and the system segments and normalizes the gestures automatically. The experimental results show that the proposed approach is accurate with gesture recognition rate of 93.6%. Also, the user can control multiple devices, including robots simultaneously through a wireless network.

목차

Abstract
 1. Introduction
 2. Related Works
 3. The Human Computer Interaction System
  3.1. Skin Color Segmentation
  3.2. Face Detection
  3.3. Hand Gesture Recognition
 4. Results
  4.1. Face Detection and Hand Gesture Recognition
  4.2. Hardware Control
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Yo-Jen Tu [ Department of Electrical Engineering and Advanced Institute of Manufacturing with High-tech Innovations National Chung Cheng University, Chiayi 621, Taiwan ]
• Chung-Chieh Kao [ Department of Electrical Engineering and Advanced Institute of Manufacturing with High-tech Innovations National Chung Cheng University, Chiayi 621, Taiwan ]
• Huei-Yung Lin [ Department of Electrical Engineering and Advanced Institute of Manufacturing with High-tech Innovations National Chung Cheng University, Chiayi 621, Taiwan ]
• Chin-Chen Chang [ Department of Computer Science and Information Engineering National United University, Miaoli 360, Taiwan ] corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605