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

This source preferred by Wen Tang

Authors: Huang, D., Ding, Y., Tang, W. and Wang, C.

Start date: 23 November 2010

Publisher: IEEE

This data was imported from Scopus:

Authors: Huang, D., Wang, C., Ding, Y. and Tang, W.

Journal: ICALIP 2010 - 2010 International Conference on Audio, Language and Image Processing, Proceedings

Pages: 955-959

ISBN: 9781424458653

DOI: 10.1109/ICALIP.2010.5685163

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. ©2010 IEEE.

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