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一种基于加速计的手势识别算法及其在虚拟环境中的应用
引用本文:刘剑锋,张大兴.一种基于加速计的手势识别算法及其在虚拟环境中的应用[J].机电工程,2010,27(8):91-96.
作者姓名:刘剑锋  张大兴
作者单位:1. 浙江大学CAD&CG国家重点实验室,浙江,杭州,310058
2. 杭州电子科技大学计算机学院,浙江,杭州,310018
基金项目:国家自然科学基金重点资助项目,国家高技术研究发展计划("863"计划)资助项目 
摘    要:针对虚拟环境下的三维交互问题,提出了基于加速计的手势识别算法。识别之前先对加速计输出做量化处理,再用离散型隐马尔科夫模型(HMM)进行建模、训练与识别。基于此识别算法,将手势作为一种交互方式应用在三维交互系统中,建立了手势-语义映射表,以训练标准手势,最后对输入手势进行了识别,根据识别结果完成了交互语义。将算法应用于虚拟奥运博物馆实例中,实验结果表明,该算法可有效快速识别出用户输入手势,且平均识别率达到90%以上,用户凭借此方法能准确无误地完成交互。

关 键 词:三轴加速计  隐马尔科夫模型  手势识别  三维交互  虚拟现实

An accelerometer-based gesture recognition algorithm and its application in virtual environment
LIU Jian-feng,ZHANG Da-xing.An accelerometer-based gesture recognition algorithm and its application in virtual environment[J].Mechanical & Electrical Engineering Magazine,2010,27(8):91-96.
Authors:LIU Jian-feng  ZHANG Da-xing
Affiliation:1.State Key Lab of CAD & CG,Zhejiang University,Hangzhou 310058,China;2.College of Computer Science,Hangzhou Dianzi University,Hangzhou 310058,China)
Abstract:Aiming at the 3D interaction in virtual environment,an accelerometer-based gesture recognition algorithm was proposed.As a pre-process procedure,raw data output by accelerometer was quantized,and then the discrete hidden Markov model(HMM) was used to train and recognize them.Based upon this recognition algorithm,gestures was treated as a method of human-computer interaction and used in 3D interaction subsystem in VR system.The gesture-semantic map was established,the standard gestures was trained,finally the recognition was done.Experimental results show that the system can recognize input gestures quickly with a reliable recogniton rate.The users are able to perform most of the typical interaction tasks in virtual environment by this accelerometer-based device.
Keywords:tri-axes accelerometer  hidden Markov model(HMM)  gesture recognition  3-D interaction  virtual reality
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