Detecting method of music to match the user's mood in prefrontal cortex EEG activity using the GA

Shin Ichi Ito, Yasue Mitsukura, Minoru Fukumi, Jianting Cao

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

2 Citations (Scopus)

Abstract

In this paper, we propose a method for detecting the mood much music for prefrontal cortex electroencephalogram (EEG) activity. The analyzed EEG frequencies contain significant and immaterial information components. We focused on the combinations of the significant frequency. These frequency combinations are thought to express personal features of EEG activity. In the proposed method, we calculate the spectrum of these frequency combinations rates that does not include the noise frequency components and evaluates whether the music matches the user's mood through a simple threshold processing. Then, a genetic algorithm (GA) is used to specify the frequency of personal features on the EEG. The threshold vale used the threshold processing is the average value of the spectrum rates specified EEG frequency combinations. Finally, the performance of the proposed method is evaluated using real EEG data.

Original languageEnglish
Title of host publicationICCAS 2007 - International Conference on Control, Automation and Systems
Pages2142-2145
Number of pages4
DOIs
Publication statusPublished - 2007 Dec 1
Externally publishedYes
EventInternational Conference on Control, Automation and Systems, ICCAS 2007 - Seoul, Korea, Republic of
Duration: 2007 Oct 172007 Oct 20

Publication series

NameICCAS 2007 - International Conference on Control, Automation and Systems

Other

OtherInternational Conference on Control, Automation and Systems, ICCAS 2007
CountryKorea, Republic of
CitySeoul
Period07/10/1707/10/20

    Fingerprint

Keywords

  • Electroencephalogram
  • Fast fourier transform
  • Genetic algorithm
  • User's mood

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Ito, S. I., Mitsukura, Y., Fukumi, M., & Cao, J. (2007). Detecting method of music to match the user's mood in prefrontal cortex EEG activity using the GA. In ICCAS 2007 - International Conference on Control, Automation and Systems (pp. 2142-2145). [4406685] (ICCAS 2007 - International Conference on Control, Automation and Systems). https://doi.org/10.1109/ICCAS.2007.4406685