A method for evaluating the degree of human's preference based on EEG analysis

Tsukasa Nakamura, Shin Ichi Ito, Yasue Mitsukura, Hiroto Setokawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

We always employ a subjective evaluation for recognizing user's preference. However, it depends on the day or the person. It is difficult to evaluate the human's preference objectively, but it is needed for developing in the factory. By the way, sense of touch is important factor for human to decide what they like. In this paper, we propose a method for extracting an information on the sense of touch based on electroencephalogram (EEG) analysis. We analyze the EEG signals while we touch objects. We often use the frequency analysis for data analysis of the EEG. The frequency analysis is used in much work of EEG. There seems to be frequency bands reflected in the preference significantly. Therefore, we apply particle swarm optimization (PSO) for selection of the significant component. For separating, support vector machine (SVM) is used. Experimental result shows that the error rates of the proposed method indicate lower value. Therefore, proposed method has the capability of separating human's preference.

Original languageEnglish
Title of host publicationIIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Pages732-735
Number of pages4
DOIs
Publication statusPublished - 2009 Dec 1
Externally publishedYes
EventIIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing - Kyoto, Japan
Duration: 2009 Sep 122009 Sep 14

Publication series

NameIIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing

Other

OtherIIH-MSP 2009 - 2009 5th International Conference on Intelligent Information Hiding and Multimedia Signal Processing
CountryJapan
CityKyoto
Period09/9/1209/9/14

ASJC Scopus subject areas

  • Computer Science(all)

Fingerprint Dive into the research topics of 'A method for evaluating the degree of human's preference based on EEG analysis'. Together they form a unique fingerprint.

Cite this