传感技术学报2012，Vol.25Issue(8)：1073-1078,6.DOI:10.3969/j.issn.1004-1699.2012.08.011
一种基于加速度特征提取的手势识别方法
A Gesture Recognition Method Based on Acceleration Feature Extraction
摘要
Abstract
With the development of mobile devices, gesture recognition based on MEMS accelerometer draws researchers much attention. Due to the restriction of recognition accuracy and efficiency, present methods are still challenging to be applied as a UI. So a simple but effective gesture recognition approach was proposed here. Firstly the ten gestures were classified into four categories according to their linguistic and operation similarity in gesture definition phase. In the recognition phase,the captured gesture was pre-classified by a three-stage classifier with the kinematic features extracted from gesture acceleration. Then the gesture was recognized according to its acceleration changing patterns. Meanwhile,with strict feature threshold restrictions to gestures,the unconscious movements were eliminated significantly. Experiment among 15 volunteers achieved an average accuracy of 95.2% and a recognition time within 0.01 s,which validates the feasibility of the proposed method in terms of accuracy and efficiency.关键词
手势识别/特征提取/MEMS加速度传感器/人机交互Key words
gesture recognition/feature extraction/MEMS accelerometer/human computer interaction分类
信息技术与安全科学引用本文复制引用
陈意,杨平,陈旭光..一种基于加速度特征提取的手势识别方法[J].传感技术学报,2012,25(8):1073-1078,6.基金项目
电子科技大学中央高校基本科研基金项目(A03008023401006) （A03008023401006）
