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Journal of Electrical and Computer Engineering
Volume 2018 (2018), Article ID 6296013, 9 pages
https://doi.org/10.1155/2018/6296013
Research Article

Effective Inertial Hand Gesture Recognition Using Particle Filtering Based Trajectory Matching

1Chengdu Institute of Computer Applications, Chinese Academy of Science, University of Chinese Academy of Sciences, Chengdu 610041, China
2Guangzhou Electronic Science Inc. of Chinese Academy of Science, Guangzhou, China
3School of Aeronautics and Astronautics and School of Automation, University of Electronic Science and Technology of China (UESTC), Chengdu, China

Correspondence should be addressed to Bin Chen; moc.uhos@603nibnehc and Jin Wu; moc.liamtoh@ctseu_uw_nij

Received 2 May 2017; Revised 24 July 2017; Accepted 23 August 2017; Published 11 February 2018

Academic Editor: Tiancheng Li

Copyright © 2018 Zuocai Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Zuocai Wang, Bin Chen, and Jin Wu, “Effective Inertial Hand Gesture Recognition Using Particle Filtering Based Trajectory Matching,” Journal of Electrical and Computer Engineering, vol. 2018, Article ID 6296013, 9 pages, 2018. doi:10.1155/2018/6296013