计算机工程2011，Vol.37Issue(24)：141-143,3.DOI:10.3969/j.issn.1000-3428.2011.24.047
基于三轴加速度传感器的手势识别
Gesture Recognition Based on Three-axial Accelerometer
摘要
Abstract
Aiming at similarity and instability of gesture activity signal in gesture interaction, a gesture recognition scheme based on three-axial accelerometer is presented. It utilizes a MMA7260 accelerometer to capture the acceleration signal of dominant wrist. An activity detection algorithm is used to auto determine the data stream which containing interesting motion according to the features of gesture activity signal. After denoising and resampling the acceleration data streams, gesture features are extracted, and Discrete Hidden Markov Model(DHMM) is built for gesture recognition. Experimental results demonstrate the effectiveness of the scheme.关键词
加速度传感器/手势识别/人机交互/信号处理/离散隐马尔可夫模型Key words
accelerometer/ gesture recognition/ human-computer interaction/ signal processing/ Discrete Hidden Markov Model(DHMM)分类
信息技术与安全科学引用本文复制引用
刘蓉,刘明..基于三轴加速度传感器的手势识别[J].计算机工程,2011,37(24):141-143,3.基金项目
华中师范大学中央高校基本科研业务费基金资助项目(CCNU 10A02008) （CCNU 10A02008）
教育部人文社会科学研究计划基金资助项目(10YJA870026) （10YJA870026）
