电子器件2017，Vol.40Issue(5)：1309-1313,5.DOI:10.3969/j.issn.1005-9490.2017.05.049
基于Kinect的人体动作识别算法研究
Study on Motion Recognition Algorithm Based on Kinect
摘要
Abstract
Under the complex background,with the problem of low accuracy and real-time of the motion recognition algorithm,an improved algorithm was proposed based on Kinect skeleton data. Getting skeleton data through the Kinect,feature vector of human joints was extracted and then motions were recognized by using the method of template matching. The feasibility of the algorithm was verified by building the robot gesture control system. Under the same experimental conditions,the average recognition rate of the algorithm is 95.2% and the average recognition time is 32. 5 ms. Compared with other motion recognition algorithm, higher recognition rate and better real-time property of the algorithm were proved.关键词
模式识别/Kinect/骨骼数据/特征提取/模板匹配Key words
pattern recognition/Kinect/skeleton data/feature extraction/template matching分类
信息技术与安全科学引用本文复制引用
党宏社,侯金良,强华,张梦腾..基于Kinect的人体动作识别算法研究[J].电子器件,2017,40(5):1309-1313,5.基金项目
陕西省社会发展科技攻关项目( 2015SF275) （ 2015SF275）
