Emotion Recognition Using EEG Signal Based on Support Vector Machine and Highly Reliable Validation Set

Chang Yuan He, Wai Chi Fang*

*Corresponding author for this work

研究成果: Conference contribution同行評審

摘要

This work aims at building robust model for human mental state classification using EEG signals. We elaborated a highly reliable data validation set for emotion detection and chose support vector machine (SVM) as the classifier. The results of classification were evaluated by the characteristics observed on the output probability curve. The average accuracy and the maximum accuracy among the subjects of the proposed model achieved 78.28% and 97.50% respectively for the binary-class task.

原文English
主出版物標題2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728132792
DOIs
出版狀態Published - 五月 2019
事件6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019 - Yilan, Taiwan
持續時間: 20 五月 201922 五月 2019

出版系列

名字2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019

Conference

Conference6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019
國家Taiwan
城市Yilan
期間20/05/1922/05/19

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