基于唇形的人机交互系统研究及其应用
张毅;刘娇;罗元; 1:重庆邮电大学自动化学院 2:重庆邮电大学光电工程学院 摘要(Abstract)：

针对在噪声环境中基于语音的人机交互系统鲁棒性差的问题,本文提出一种新颖的基于唇形的人机交互方法。该方法通过定义不同的唇形来进行人机交互。首先使用adaboost算法实时检测到唇部,然后通过离散余弦变换(Discrete Cosine Transform DCT)提取唇部特征,最后使用支持向量机(Support Vector Machine SVM)进行唇形的识别。

关键词(KeyWords)： 唇形;;人机交互;;DCT;;SVM

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基金项目(Foundation): 国家自然科学基金项目(NO.51075420),国家自然科学基金项目(NO.60905066);;科技部国际合作项目(NO.2010AA2055)

作者(Author): 张毅;刘娇;罗元;

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参考文献(References)： [1]Jin Sun Ju,Yun hee Shin,Eun Yi Kim,et al.Intelligent Wheelchair(IW)Interface Using Face and Mouth Recognition[C].IUI’09Proceedings of the 14th international conference on intelligent user interfaces.2009:301-314.[2]Malek Baklouti,Michael Bruin,Vincent Guittrny,Eric Monacelli.A Human-Machine Interface for assistive exoskeleton basedon face analysis[C].Proceedings of 2nd Biennial IEEE RAS&EMBS International Conference on Biomedical Robotics andBiomechatronics,2008:913-918.[3]P.Viola,M.Jones.Robust Real-Time Face Detection[J].International Journal of Computer Vision.2004,57(2):137-154.[4]P.Jia,H.Hu,T.Lu,K.Yuan.Head Gesture Recognition for Hands-free Control of an Intelligent Wheelchair[J].Journal of IndustrialRobot.2007,34(I):60-68.[5]Yi Zhang,Jiao Zhang,et al.A Novel Intelligent Wheelchair Control System Based On Hand Gesture Recognition[C].Proceedings ofthe 2011 IEEE/ICME International Conference on Complex Medical Engineering,2011:334-339.[6]何俊.服务机器人语音唇读人机交互技术研究[D].南昌:南昌大学机电工程学院,2009:30.[7]Hafiz Imtiaz,Shaikh Anowarul Fattah.A Face Recognition Scheme Based on Spectral Domain Feature Extraction[C].6thInternational Conference on Electrical and Computer Engineering,2010:514-517.[8]Pavan Kumar Kankar,Satish C.Sharma,Suraj Prakash Harsha.Vibration-based fault diagnosis of a rotor bearing system using artificialneural network and support vector machine[J].International Journal of Modelling,Identification and Control.2012,15(3):185-198.[9]林升梁,刘志.一种多分类支持向量机在胎盘图像分级中的应用[J].计算机应用系统,2007(8):95-98.


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