Facial expression recognition based on Electroencephalogram and facial landmark localization

• Published in: Technology and health care Vol. 27; no. 4; pp. 373 - 387
• Main Authors: Li, Dahua, Wang, Zhe, Gao, Qiang, Song, Yu, Yu, Xiao, Wang, Chuhan
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.01.2019; Sage Publications Ltd
• Subjects: Accuracy; Affective computing; Algorithms; Discrete Wavelet Transform; EEG; Electroencephalography; Electroencephalography - methods; Energy; Face recognition; Facial Expression; Facial Recognition; Humans; Image reconstruction; Localization; Mental disorders; Mental Disorders - diagnosis; Pattern recognition; Rehabilitation; Sensitivity and Specificity; Signal processing; Signal Processing, Computer-Assisted; Support Vector Machine; Support vector machines; Wavelet Analysis; Wavelet transforms; discrete wavelet transform (DWT); facial landmark localization; Electroencephalogram (EEG); fusion feature vector; support vector machine (SVM)

BACKGROUND: Facial expression recognition plays an essential role in affective computing, mental illness diagnosis and rehabilitation. Therefore, facial expression recognition has attracted more and more attention over the years. OBJECTIVE: The goal of this paper was to improve the accuracy of the E...