期刊文献+

基于肤色和亮度变换的人机交互系统

Human-computer Interaction System Based on Skin Color and Intensity Transformation
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摘要 手机导航键采用的人机交互方法存在操控不方便、实现较复杂以及成本高等缺点,为此,提出一种结合肤色模型、亮度变换和几何特征的人机交互系统。通过手机前置摄像头采集用户拇指轻微运动的序列图像,在YCbCr颜色空间对图像进行色度判决;基于目标和背景的亮度特征对图像进行亮度变换,并引入值心概念计算前景的几何中心,判断值心在二维指令特征平面中的具体位置。实验结果表明,该人机交互方式能快速方便地识别大拇指发出的4条主指令和12条辅助指令。 The navigation interactive methods for mobile phones have some drawbacks which contain inconvenient operation, difficult imple- mentation and high cost. Aiming at these problems, this paper proposes a novel human-computer interaction system combining with shin color model, intensity transformation and geometrical characteristic. It collects serial images of thumb moving by the front camera of mobile phone, and iudges the hue of the image in YCbCr color field. It adjusts the intensity of the image based on object and background gray characteristic, and calculates the geometric centre by the centre of gray value. It finds the relative position of thumb moving in the instruct plane. Experimental results demonstrate that the interaction can recognize four main instructs and twelve auxiliary instructs friendlv and ouicklv.
出处 《计算机工程》 CAS CSCD 北大核心 2011年第12期147-149,共3页 Computer Engineering
基金 工信部电子发展基金资助项目(工信部财(2009)480文件)
关键词 人机交互 肤色分割 几何特征 亮度变换 human-computer interaction skin color segmentation geometrical characteristic intensity transformation
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参考文献9

  • 1Crowley J L, Berard F, Coutaz J. Finger Tracking as an Input Device for Augmented Reality[C] //Proc. of International Workshop on Automatic Face and Gesture Recognition. Zurich, Switzerland:[s. n.] , 1995.
  • 2Quek F K H, Mysliwiec T, Zhao Meide. Finger Mouse: A Free-hand Pointing Computer Interface[C] //Proc. of International Workshop on Automatic Face and Gesture Recognition. Zurich, Switzerland:[s. n.] , 1995.
  • 3Zhen You, Zhang Ying, Wu Ying. Visual Panel: Virtual Mouse, Keyboard and 3D Controller with an Ordinary Piece of Paper[C] // Proc. of Workshop on Perceptive User Interfaces. Orlando, USA: ACM Press, 2001.
  • 4Christian V H, Frances B M. Bare-hand Human Computer Interaction[C] //Proc. of Workshop on Perceptive User Interfaces. Orlando, USA: ACM Press, 2001.
  • 5Oka K, Sato Y, Koike H. Realtime Tracking of Multiple Fingertips and Gesture Recognition for Augmented Desk Interface System[C] //Proc. of the 5th IEEE International Conference on Automatic Face and Gesture Recognition. Washington D. C., USA: IEEE Computer Society Press, 2002.
  • 6杨端端,金连文,尹俊勋.手指书写汉字识别系统中的指尖检测方法[J].华南理工大学学报(自然科学版),2007,35(1):58-63. 被引量:14
  • 7任海兵,祝远新,徐光,林学,张哓平.基于视觉手势识别的研究—综述[J].电子学报,2000,28(2):118-121. 被引量:120
  • 8肖志勇,秦华标.基于视线跟踪和手势识别的人机交互[J].计算机工程,2009,35(15):198-200. 被引量:21
  • 9郑明恩,管业鹏.基于肤色与肤色矩实时视频人脸检测与跟踪[J].计算机工程与设计,2008,29(4):879-881. 被引量:12

二级参考文献55

  • 1赵丽红,孙晓琳,王宇飞,徐心和.基于肤色的人脸检测[J].工程图学学报,2005,26(3):84-88. 被引量:9
  • 2邓亚峰,苏光大,傅博.一种基于AdaBoost的快速动态人脸检测算法[J].计算机工程,2006,32(11):222-224. 被引量:18
  • 3杨端端,金连文,尹俊勋.手指书写汉字识别系统中的指尖检测方法[J].华南理工大学学报(自然科学版),2007,35(1):58-63. 被引量:14
  • 4Viola P,Jones M.Rapid Object Detection Using a Boosted Cascade of Simple Features[C]//Proc.of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.Hawaii,USA:[s.n.],2001:511-518.
  • 5Hong Tianyi,Qin Huabiao.Drivers' Drowsiness Detection in Embedded System[C]//Proc.of the IEEE International Control on Vehicular Electronics and Safety.Guangzhou,China:[s.n.],2007:1-5.
  • 6[1]T.Ahmad,C.J.Taylor,A.Lanitis,T.F.Cootes.Tracking and recognising hand gestures, using statistical shape models.Image and Vision Computing,1997,15:345~352
  • 7[2]Y.Azoz,L.Devi,and R.Sharma.Vision-Based Human Arm Tracking for Gesture Analysis Using Multimodal Constraint Fusion.Proc.1997 Advanced Display Federated Laboratory Symp.,Adelphi,Md.,1997
  • 8[3]David Alan Becker,Sensi.A Real-Time Recognition,Feedback and Training System for T'ai Chi Gestures.(David Alan Becker, Master thesis),MIT Media Lab,May,1997
  • 9[4]A.Bobick,J.Davis.Real-time recognition of activity using temporal templates.Proc.of Third IEEE Workshop on applications of computer vision,Florida,1996,39~42
  • 10[5]G.Bradski,Boon-Lock Yeo,Minerva M.Yeung.Gesture for video content navigation.SPIE 3656 (Proc.of the IS&T/SPIE Conf.on Storage and Retrieval for Image and Video Database VII),San Jose,California,1999,230~242

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