The EEG analysis method for obtaining the feeling

Yohei Tomita, Shin Ichi Ito, Yasue Mitsukura

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

3 Citations (Scopus)

Abstract

The electroencephalogram (EEG), the brain activity of neurons in the brain, is used to record brain activity for many puiposes. It also changes depends on mental conditions because mental conditions are generated in the brain. In this study, we try to estimate the mental conditions by observing the EEG patterns. The EEG data caused by mental changes is obtained as giving the subjects animal assisted therapy. The method for estimation is AdaBoosting as the neural network. We set the input vector as EEG changes and output vector is set as mental changes. Subjects are 25 people: 19 males and 6 females (age: 21-24 years old). Previous study reveals the correlation between the EEG and the activeness, and between the EEG and the tiredness. Therefore, in this paper, we try to estimate these mental parameters by the EEG at the first step.

Original languageEnglish
Title of host publication2008 International Conference on Control, Automation and Systems, ICCAS 2008
Pages2555-2558
Number of pages4
DOIs
Publication statusPublished - 2008 Dec 1
Externally publishedYes
Event2008 International Conference on Control, Automation and Systems, ICCAS 2008 - Seoul, Korea, Republic of
Duration: 2008 Oct 142008 Oct 17

Publication series

Name2008 International Conference on Control, Automation and Systems, ICCAS 2008

Other

Other2008 International Conference on Control, Automation and Systems, ICCAS 2008
CountryKorea, Republic of
CitySeoul
Period08/10/1408/10/17

Keywords

  • AdaBoost
  • Animal assisted therapy
  • Electroencephalogram
  • Neural network

ASJC Scopus subject areas

  • Control and Systems Engineering

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    Tomita, Y., Ito, S. I., & Mitsukura, Y. (2008). The EEG analysis method for obtaining the feeling. In 2008 International Conference on Control, Automation and Systems, ICCAS 2008 (pp. 2555-2558). [4694286] (2008 International Conference on Control, Automation and Systems, ICCAS 2008). https://doi.org/10.1109/ICCAS.2008.4694286