1. 毕业设计（论文）的内容和要求
手语是聋哑人进行日常交流不可或缺的重要工具。
手语识别研究的主要目的，就是利用计算机将聋哑人给出的手语信息，准确转换为文本、语言等信息并输出，从而为两者间交流提供便利。
手语识别研究作为人机交互的一大热门领域，吸引了大量国内外研究人员从事相关工作，已取得了丰硕成果。
2. 参考文献
[1]周宇，陈熙霖，王春立.结合HMM和SPSM的手语识别方法[[J].计算机工程与应用，2008(21):37-40.[2]吴江琴，高文，陈熙霖.基于数据手套输入的汉语手指字母的识别[[J].模式识别与人工智能，1999(01):74-78.[3] Billinghurst M. Put that wherevoice and gesture at the graphics interface[J]. Acm SiggraphComputer Graphics, 1998, 32(32):60-63.[4] Takahashi T, Kishino F. Hand gesture coding based on experiments using a hand gesture interface device[J]. Acm Sigchi Bulletin, 1991, 23(2):67-74.[5] Brashear H, Starner T, Lukowicz P, et al. Using Multiple Sensors for Mobile Sign LanguageRecognition[C]. IEEE International Symposium on Wearable Computers, 2003. Proceedings. IEEEXplore, 2003:45-52.[6]吴江琴，高文.基于数据手套输入的汉语手指字母的识别[[J].模式识别与人工智能，1999(1):74-78.[7]张晨曦，姚鸿勋，姜峰.基于多分辨率的多层分类器的手语识别方法[[J].计算机科学，2005, 32(4):94-96.[8]李云，陈香，张旭，等.基于加速计与表面肌电传感器信息融合的手语识别方法[[J].航天医学与医学工程，2010, 23(6):419-424.[9] Zafrulla Z, Brashear H, Starner T, et al. American sign language recognition with the kinect[C].International Conference on Multimodal Interfaces, ICMI 2011, Alicante, Spain, November. DBLP,2011:279-286.[10] Geng L, Ma X, Wang H, et al. Chinese sign language recognition with 3D hand motiontrajectories and depth images[C]. Intelligent Control and Automation (WCICA), 2014 11th WorldCongress on. IEEE, 2014:1457-1461[11] Kishore P V V, Prasad M V D, Prasad C R, et al. 4-Camera model for sign language recognition using elliptical fourier descriptors and ANN[C]. International Conference on Signal Processing and Communication Engineering Systems. IEEE, 2015:34-38.[12] Yang M H, Ahuja N, Tabb M. Extraction of 2D Motion Trajectories and Its Application toHand Gesture Recognition[J]. IEEE Transactions on Pattern AnalysisMachine Intelligence, 2002,24(8):1061-1074.[13] Sawant S N, Kumbhar M S. Real time Sign Language Recognition using PCA[C]. International Conference on Advanced Communication Control and Computing Technologies. IEEE, 2014:1412-1415.[14] Rashid O, Al-Hamadi A, Michaelis B. Utilizing invariant descriptors for finger spellingAmerican sign language usingSVM[C]. International Conference onAdvancesinVisualComputing. Springer-Verlag, 2010:253-263.[15] Freund Y. Experiments with a new boosting algorithm[J]. Proceedings of ICML, 1996, 13:148-156.
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