Virtual Throwing Action Recognition Based on Time Series Data Mining in an Augmented Reality System

摘要：

Introducing the similarity discovery algorithm based on time series into virtual throwing action recognition is a new attempt. Four key sub-patterns from the whole throwing action process were defined, and the corresponding sub-patterns discovery algorithms were designed. The similarity matching between the target time series and the template was done to implement the recognition of virtual throwing. The experiment results show that the proposed algorithm with less calculation, high recognition rate, strong anti-jamming ability, could meet the augmented reality system well in real-time.

作者: Dongjin Huang Chao Wang Youdong Ding Wen Tang

作者单位: School of Computer Engineering and Science, Shanghai University, Shanghai, 200072, China School of Film and TV Arts Technology, Shanghai University, Shanghai, 200072, China University of Teesside, School of Computing, UK

会议类型: 国际会议

会议名称: 第十届中国虚拟现实年会

会议地点: 上海

会议语种:英文

页码: 955-959

在线出版日期: 2010-10-20（万方平台首次上网日期，不代表论文的发表时间）