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。
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.
出处
《机电工程》
CAS
2010年第8期91-96,共6页
Journal of Mechanical & Electrical Engineering
基金
国家自然科学基金重点资助项目(60533080)
国家高技术研究发展计划("863"计划)资助项目(2006AA01Z303)
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
tri-axes accelerometer
hidden Markov model（HMM）
gesture recognition
3-D interaction
virtual reality
作者简介
刘剑锋（1985-），男，浙江金华人，硕士研究生，主要从事虚拟现实、人机交互方面的研究．E-mail：liujianfeng@cad．zju．edu．cn
