A feeling estimation system using a simple electroencephalograph

Keisuke Ishino, Masafumi Hagiwara

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

58 Citations (Scopus)

Abstract

This paper proposes a system for feeling estimation. It uses a simple electroencephalograph as an interface. If quantitative feeling presumption with information from a living body is made possible, it can be considered that a computer can appropriately deal with human's natural sensibility. Input data of proposed system is electroencephalogram (EEG) data of several feelings acquired using a simple electroencephalograph. Output of the system is one of some words associated with certain feelings states. One feature of proposed system is performing classification using the neural network. The neural networks have generalization ability and can deal with data including noise. Another feature is a low burden for the user by using a simple electroencephalograph. The proposed system is applicable to the quantitative evaluation replaced with a questionnaire. It is also applicable to handling the non-verbal information that is missing at communication.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Pages4204-4209
Number of pages6
Volume5
Publication statusPublished - 2003
EventSystem Security and Assurance - Washington, DC, United States
Duration: 2003 Oct 52003 Oct 8

Other

OtherSystem Security and Assurance
CountryUnited States
CityWashington, DC
Period03/10/503/10/8

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Keywords

  • EEG
  • Electroencephalograph
  • Estimation
  • Feeling
  • Neural network
  • Wavelet transform

ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Systems Engineering

Cite this

Ishino, K., & Hagiwara, M. (2003). A feeling estimation system using a simple electroencephalograph. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (Vol. 5, pp. 4204-4209)