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桌面式眼动跟踪系统研究 被引量:1

Eye Tracking Technology Research Based on Desktop
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摘要 眼动跟踪技术作为一种新的人机交互方式,已受到越来越多人的关注,现有的眼动跟踪系统大都是头戴式的,它的硬件设备复杂,对人干扰较大,而且价格昂贵。文章实现了一个简单的基于桌面的眼动跟踪系统,本系统硬件构成简单,而且不与人直接接触,使用虹膜中心坐标来估计用户的注视点。实验表明,当误差距离不超过40个像素时,系统估计的人眼注视点准确率超过80%。 Human-Computer Interaction (HCI) has witnessed a tremendous growth in the past decade, as a new means of HCI, eye tracking technology has been more and more popular, some company have already released eye tracking system, but most of them are expensive, invasive and not user-friendly. This paper implements a simple eye tracking system based on the desktop, its hardware structure is simple, and no direct contact with people, uses the iris center coordinates to estimate the user's gaze. The experiments show that when the distance error is less than 40 pixels, the method used to calculate the human eye gaze has an accuracy of more than 80%.
出处 《电子技术(上海)》 2014年第9期1-5,共5页 Electronic Technology
关键词 眼动跟踪 人脸检测 人眼检测 虹膜中心定位 注视点标定 eye tracking face detection eye detection iris center detection fixation point calibration
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参考文献9

  • 1Jacob R J K, Karn K S. Eye tracking in human- computer interaction and usability research: Ready to deliver the promises[J]. The Mind's eye: Cognitive The Mind's Eye: Cognitive and Applied Aspects of Eye Movement Research 2003: 573-603.
  • 2Merchant S, Schnell T. Eye movement research inaviation and commercially available eye trackers today[R].Eye Movement Summary-Assessing Human Visual Performance, Course at Department ofhldustrial Engineering, University of Iowa, USA, 2001.
  • 3Morimoto C H, Mimica M R M. Eye gaze tracking techniques tbr interactive applications[J].Computer Vision and Image Understanding,2005,98( 1 ):4-24.
  • 4Wang J, Sung E, Venkateswarlu R. Eye gaze estimation from a single image of one eye[C]//Proceedings of Ninth IEEE International Conference on.IEEE, 2003:136-143.
  • 5王航宇.基于YCbCr高斯肤色模型的人脸检测技术研究[J].现代电子技术,2008,31(22):102-105. 被引量:18
  • 6Sobottka K, Pitas I. Face localization and facial feature extraction based on shape and color information[C]//Proceedings of International Conference on Image Processing, 1996,3:483-486.
  • 7Feng G C, Yuen P C. Multi-cues eye detection on gray intensity image[J]. Pattern Recognition, 2001, 34(5): 1033-1046.
  • 8Morimoto C H, Koons D, Amit A, et al. Keeping an eye for HCI[C]//Proceedings of XII Brazilian Symposium on Computer Graphics and Image Processing, 1999: 171-176.
  • 9陈勇飞,刘新明.基于肤色和类Harr特征的人脸图像的人眼检测[J].计算机工程与应用,2008,44(33):174-176. 被引量:10

二级参考文献12

  • 1何斌.Visual C^++数字图像处理[M].北京:人民邮电出版社,2007.
  • 2Elettheriadis A. Automatic Face Location Detection and Tracking for Model - assisted Coding of Video Teleconferencing Sequences at Low bit - Rates [J]. Signal Processing: Image Communication, 2005,7(3) : 231 - 248.
  • 3Xiaobo Li, Nichols Roeder. Face Contour Extraction from Front - View Images[J]. Pattern Recognition, 2006,28 (8) : 1 167-1 179.
  • 4Zhao Shuyan,Grigat R R.Robust eye detection under active infrared illumination[C]//The 18th International Conference on Pattern Recognition (ICPR' 06 ), 2006.
  • 5Zhou Z H,Geng X.Projection functions for eye detection[J].Pattem Recognition, 2004,37 (5) : 1049-1056.
  • 6Ma Y,Ding X,Wang Z,et al.Robust precise eye location under probabilistic framework[C]//IEEE International Conference on Automatic Face and Gesture Recognition,2004:339-344.
  • 7Hsu Rein-Lien,Jain A K.Face detection in color images[J].IEEE Trans.Pattern Analysis and Machine Intelligence,2002.
  • 8Viloa,Jones M.Rapid object detection using a boosted cascade of simple features[C]//Proc 2001 IEEE Computer Soc Computer Vision and Pattern Recognition,HI,Dec 2001,1.
  • 9董梁,王忠民.图像边缘检测算法研究[J].现代电子技术,2007,30(15):179-180. 被引量:8
  • 10汤彦萌,吴乐南.复杂背景下彩色人脸的快速预处理算法[J].现代电子技术,2007,30(24):115-118. 被引量:1

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