Proceedings of the 2015 International Conference on Management, Education, Information and Control

Similarity Feature Extraction of EEG

Authors
Zhendong Mu
Corresponding Author
Zhendong Mu
Available Online June 2015.
DOI
https://doi.org/10.2991/meici-15.2015.221How to use a DOI?
Keywords
Feature extraction; Similarity; Electroencephalograph (EEG) signal
Abstract
With the development of information technology nowadays, the analysis of mass data with time features has become possible. EEG feature extraction method is a key element of EEG research, this paper defines a method similarity of feature extraction. Five subjects are used to verify identification studies, which shows that the similarity method can extract to EEG features the subject. The analysis result of 400 collected EEG signals of the same mode shows that the similarity among features of the 400 samples is up to 80%.
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Proceedings
2015 International Conference on Management, Education, Information and Control
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-85-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/meici-15.2015.221How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhendong Mu
PY  - 2015/06
DA  - 2015/06
TI  - Similarity Feature Extraction of EEG
BT  - 2015 International Conference on Management, Education, Information and Control
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-15.2015.221
DO  - https://doi.org/10.2991/meici-15.2015.221
ID  - Mu2015/06
ER  -