Simple jQuery Dropdowns
Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/45448
Title: Self-paced emotional imagery-based brain computer interface system
Authors: Yunyong Punsawad
Yodchanan Wongsawat
Silpakorn University
Mahidol University
Keywords: Chemical Engineering;Engineering
Issue Date: 1-Jan-2018
Citation: IFMBE Proceedings. Vol.63, (2018), 567-571
Abstract: © Springer Nature Singapore Pte Ltd. 2018. This paper proposed a self-paced emotional imagery based noninvasive Brain-computer interface (BCI) system. Electroencephalography (EEG) was used to observe brain phenomenon and regions during imagery positive and negative emotions. Absolute power at peak frequency of EEG bands from quantitative EEG analysis was used to create a parameter two classes of emotion by using Linear discriminant analysis (LDA) classifier. The study of brain response via EEG supports previously proposed EEG-based emotion recognition. The results showed the proposed algorithms achieved averaged accuracy rate of 53.3–83.3%. The proposed system can be used for real-time BCI. The aim is an assistive devices and emotion monitoring based on BCI that can practically use in clinical applications.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85030847489&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/45448
ISSN: 16800737
Appears in Collections:Scopus 2018

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.