A basic method for classifying humans based on an EEG analysis

Shin ichi Ito; Yasue Mitsukura; Minoru Fukumi

doi:10.1109/ICARCV.2008.4795798

A basic method for classifying humans based on an EEG analysis

Shin ichi Ito, Yasue Mitsukura, Minoru Fukumi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

This paper introduces a method for classifying humans by analyzing prefrontal cortex electroencephalogram (EEG) activity to extract and confirm distinct response features on listening to music that the user feels matches his/her mood, does not match his/her mood, or otherwise. The proposed method constitutes analyzing EEG signals obtained from monitoring human response features and classifying the human subjects according to the different frequency bands of the power spectrum of the EEG signal. The performance of the proposed method is evaluated using real EEG data. We confirm that we can classify humans into at least three groups.

Original language	English
Title of host publication	2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
Pages	1783-1786
Number of pages	4
DOIs	https://doi.org/10.1109/ICARCV.2008.4795798
Publication status	Published - 2008 Dec 1
Externally published	Yes
Event	2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 - Hanoi, Viet Nam Duration: 2008 Dec 17 → 2008 Dec 20

Publication series

Name	2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008

Other

Other	2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008
Country/Territory	Viet Nam
City	Hanoi
Period	08/12/17 → 08/12/20

Keywords

Electroencephalogram
Human feature
Matching mood
Music

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ICARCV.2008.4795798

Cite this

Ito, S. I., Mitsukura, Y., & Fukumi, M. (2008). A basic method for classifying humans based on an EEG analysis. In 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 (pp. 1783-1786). [4795798] (2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008). https://doi.org/10.1109/ICARCV.2008.4795798

A basic method for classifying humans based on an EEG analysis. / Ito, Shin ichi; Mitsukura, Yasue; Fukumi, Minoru.
2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008. 2008. p. 1783-1786 4795798 (2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ito, SI, Mitsukura, Y & Fukumi, M 2008, A basic method for classifying humans based on an EEG analysis. in 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008., 4795798, 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008, pp. 1783-1786, 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008, Hanoi, Viet Nam, 08/12/17. https://doi.org/10.1109/ICARCV.2008.4795798

@inproceedings{1ba712bda2a84b5bb19967dd8c2d51b6,

title = "A basic method for classifying humans based on an EEG analysis",

abstract = "This paper introduces a method for classifying humans by analyzing prefrontal cortex electroencephalogram (EEG) activity to extract and confirm distinct response features on listening to music that the user feels matches his/her mood, does not match his/her mood, or otherwise. The proposed method constitutes analyzing EEG signals obtained from monitoring human response features and classifying the human subjects according to the different frequency bands of the power spectrum of the EEG signal. The performance of the proposed method is evaluated using real EEG data. We confirm that we can classify humans into at least three groups.",

keywords = "Electroencephalogram, Human feature, Matching mood, Music",

author = "Ito, {Shin ichi} and Yasue Mitsukura and Minoru Fukumi",

year = "2008",

month = dec,

day = "1",

doi = "10.1109/ICARCV.2008.4795798",

language = "English",

isbn = "9781424422876",

series = "2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008",

pages = "1783--1786",

booktitle = "2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008",

note = "2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008 ; Conference date: 17-12-2008 Through 20-12-2008",

}

TY - GEN

T1 - A basic method for classifying humans based on an EEG analysis

AU - Ito, Shin ichi

AU - Mitsukura, Yasue

AU - Fukumi, Minoru

PY - 2008/12/1

Y1 - 2008/12/1

N2 - This paper introduces a method for classifying humans by analyzing prefrontal cortex electroencephalogram (EEG) activity to extract and confirm distinct response features on listening to music that the user feels matches his/her mood, does not match his/her mood, or otherwise. The proposed method constitutes analyzing EEG signals obtained from monitoring human response features and classifying the human subjects according to the different frequency bands of the power spectrum of the EEG signal. The performance of the proposed method is evaluated using real EEG data. We confirm that we can classify humans into at least three groups.

AB - This paper introduces a method for classifying humans by analyzing prefrontal cortex electroencephalogram (EEG) activity to extract and confirm distinct response features on listening to music that the user feels matches his/her mood, does not match his/her mood, or otherwise. The proposed method constitutes analyzing EEG signals obtained from monitoring human response features and classifying the human subjects according to the different frequency bands of the power spectrum of the EEG signal. The performance of the proposed method is evaluated using real EEG data. We confirm that we can classify humans into at least three groups.

KW - Electroencephalogram

KW - Human feature

KW - Matching mood

KW - Music

UR - http://www.scopus.com/inward/record.url?scp=64549157946&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=64549157946&partnerID=8YFLogxK

U2 - 10.1109/ICARCV.2008.4795798

DO - 10.1109/ICARCV.2008.4795798

M3 - Conference contribution

AN - SCOPUS:64549157946

SN - 9781424422876

T3 - 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008

SP - 1783

EP - 1786

BT - 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008

T2 - 2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008

Y2 - 17 December 2008 through 20 December 2008

ER -

A basic method for classifying humans based on an EEG analysis

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this