Fuzzy Logic in Exploring Data Effects: A Way to Unveil Uncertainty in EEG Feedback

  • Authors:

  • Fang Zheng;Bin Hu;Li Liu;Tingshao Zhu;Yongchang Li;Yanbin Qi

  • Affiliations:

  • Ubiquitous Awareness and Intelligent Solution Laboratory, School of Information Science and Engineering, Lanzhou University, Lanzhou, China;Ubiquitous Awareness and Intelligent Solution Laboratory, School of Information Science and Engineering, Lanzhou University, Lanzhou, China and Department of Computing, Birmingham City University, ...;Ubiquitous Awareness and Intelligent Solution Laboratory, School of Information Science and Engineering, Lanzhou University, Lanzhou, China;Graduate University of Chinese Academy of Sciences, Beijing, China;Ubiquitous Awareness and Intelligent Solution Laboratory, School of Information Science and Engineering, Lanzhou University, Lanzhou, China;Ubiquitous Awareness and Intelligent Solution Laboratory, School of Information Science and Engineering, Lanzhou University, Lanzhou, China

  • Venue:
  • ICDHM '09 Proceedings of the 2nd International Conference on Digital Human Modeling: Held as Part of HCI International 2009
  • Year:
  • 2009

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Abstract

To unveil effects of data sets with uncertainty, we develop a method applying fuzzy logic to determine data weights in fuzzy inference. Preferable adjustments of initial weight assignment shall be obtained by comparison of assumptions' truth grade values with practical effectiveness evaluation. We apply this method in the process of implying patients' depressive mood for the user case study of developing antidepressant multimedia therapy and evaluate its veracity. According to users' feedback, iterative application of this method may leads to further understanding of EEG data's effects in user context.