Fuzzy logic in exploring data effects: A way to unveil uncertainty in eeg feedback

Fang Zheng*, Bin Hu, Li Liu, Tingshao Zhu, Yongchang Li, Yanbin Qi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationDigital Human Modeling - Second International Conference, ICDHM 2009 - Held as Part of HCI International 2009, Proceedings
Pages754-763
Number of pages10
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2nd International Conference on Digital Human Modeling, ICDHM 2009. Held as Part of HCI International 2009 - San Diego, CA, United States
Duration: 19 Jul 200924 Jul 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5620 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Digital Human Modeling, ICDHM 2009. Held as Part of HCI International 2009
Country/TerritoryUnited States
CitySan Diego, CA
Period19/07/0924/07/09

Keywords

  • EEG data
  • Fuzzy logic

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