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Applied Computational Intelligence and Soft Computing
Volume 2014, Article ID 415187, 10 pages
http://dx.doi.org/10.1155/2014/415187
Research Article

Pleasant/Unpleasant Filtering for Affective Image Retrieval Based on Cross-Correlation of EEG Features

The University of Tokushima 2-1 Minami-Josanjima, Tokushima 770-8506, Japan

Received 25 September 2013; Accepted 23 January 2014; Published 5 March 2014

Academic Editor: Jun He

Copyright © 2014 Keranmu Xielifuguli 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.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Jefferson Tales Oliva, and João Luís Garcia Rosa, “Predictive Models for Differentiation Between Normal and Abnormal EEG Through Cross-Correlation and Machine Learning Techniques,” Towards Integrative Machine Learning and Knowledge Extraction, vol. 10344, pp. 134–145, 2017. View at Publisher · View at Google Scholar
  • Andrea Clerico, Abhishek Tiwari, Rishabh Gupta, Srinivasan Jayaraman, and Tiago H. Falk, “Electroencephalography Amplitude Modulation Analysis for Automated Affective Tagging of Music Video Clips,” Frontiers in Computational Neuroscience, vol. 11, 2018. View at Publisher · View at Google Scholar