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Computational Intelligence and Neuroscience
Volume 2017, Article ID 5468208, 12 pages
Research Article

Object Extraction in Cluttered Environments via a P300-Based IFCE

1School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China
2Department of Computer & Electrical Engineering and Computer Science, California State University, Bakersfield, CA 93311, USA
3State Key Laboratory of Robotics, Shenyang Institute of Automation, Shenyang, Liaoning 110016, China
4Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, Guangdong, China
5Department of Math and Computer Science, West Virginia State University, 5000 Fairlawn Ave, Institute, WV 25112, USA
6Intelligent Fusion Technology, Inc., Germantown, MD 20876, USA

Correspondence should be addressed to Wei Li; ude.busc@ilw

Received 14 December 2016; Revised 3 April 2017; Accepted 24 May 2017; Published 27 June 2017

Academic Editor: Hasan Ayaz

Copyright © 2017 Xiaoqian Mao 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

Xiaoqian Mao, Wei Li, Huidong He, et al., “Object Extraction in Cluttered Environments via a P300-Based IFCE,” Computational Intelligence and Neuroscience, vol. 2017, Article ID 5468208, 12 pages, 2017.