Paper Info
Title
Emotion Recognition Scheme via EEG Signal Analysis.
Abstract
The recognition of brain states under different person and different task features has gradually become a research hotspot. While the challenges facing brain state recognition are low accuracy and time issues. In this paper, a emotion recognition scheme is proposed by analyzing the original EEG data. Firstly, we analyze the basic characteristics of the brain wave signal, and then use the attention based RNN algorithm to eliminate the various interference signals. Experiments show that compared with some mature brain wave recognition methods, the scheme improved the recognition accuracy and owns high efficiency.
Year
DOI
Venue
2019
10.1007/978-3-030-22263-5_62
INNOVATIVE MOBILE AND INTERNET SERVICES IN UBIQUITOUS COMPUTING, IMIS-2019
Field
DocType
Volume
State recognition,Computer science,Emotion recognition,Computer network,Speech recognition,Interference (wave propagation),Eeg data,Hotspot (Wi-Fi),Brain waves,Eeg signal analysis
Conference
994
ISSN
Citations 
PageRank 
2194-5357
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Tianhan Gao11817.71
Song Zhou2305.17