Emotional Evaluation Based on SVM

DOI

10.2991/amcce-17.2017.111How to use a DOI?

Keywords

Data Mining, SVM, Bioinformatics, EEG, Machine Learning.

Abstract

With the continuous development of the modern intelligent household, people found that brain wave can be used for controlling household appliances. EEG signal, as a typical brain wave signal carrying the brain state information, has walked into the researcher's view. Brain wave carries detailed information about the state of the brain. As a result, using computer to collect and analyze EEG signal plays a great role in smart home. This paper uses positive and negative emotional EEG signal as the research object, begins with introducing the research status of brain waves, and then uses the Chinese Affective Picture System (CAPS [12]) of Chinese Academy of Sciences, designs the watch pictures to experiment, utilizes machine learning algorithm of support vector machine (SVM) for data analysis, and obtains an accuracy of 58.3% eventually. This paper provides a feasible scheme for the study of EEG in the field of emotion analysis.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yu Nie
AU  - Yang Wu
AU  - ZhongYao Yang
AU  - Guangzhi Sun
AU  - Yongjian Yang
AU  - Xuanyi Hong
PY  - 2017/03
DA  - 2017/03
TI  - Emotional Evaluation Based on SVM
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
PB  - Atlantis Press
SP  - 641
EP  - 644
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-17.2017.111
DO  - 10.2991/amcce-17.2017.111
ID  - Nie2017/03
ER  -