Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition

doi:10.1007/s12559-017-9533-x

	Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition
	Li, Jinpeng1,2 ; Zhang, Zhaoxiang1,2,3 ; He, Huiguang1,2,3
刊名	COGNITIVE COMPUTATION
	2018-04-01
卷号	10 期号:2 页码:368-380
关键词	Affective Brain-computer Interface Emotion Recognition Brain Wave Deep Learning Eeg
DOI	10.1007/s12559-017-9533-x
文献子类	Article
英文摘要	Traditional machine learning methods suffer from severe overfitting in EEG-based emotion reading. In this paper, we use hierarchical convolutional neural network (HCNN) to classify the positive, neutral, and negative emotion states. We organize differential entropy features from different channels as two-dimensional maps to train the HCNNs. This approach maintains information in the spatial topology of electrodes. We use stacked autoencoder (SAE), SVM, and KNN as competing methods. HCNN yields the highest accuracy, and SAE is slightly inferior. Both of them show absolute advantage over traditional shallow models including SVM and KNN. We confirm that the high-frequency wave bands Beta and Gamma are the most suitable bands for emotion reading. We visualize the hidden layers of HCNNs to investigate the feature transformation flow along the hierarchical structure. Benefiting from the strong representational learning capacity in the two-dimensional space, HCNN is efficient in emotion recognition especially on Beta and Gamma waves.
WOS关键词	BRAIN-COMPUTER INTERFACES ; VIGILANCE ESTIMATION ; CLASSIFICATION ; RESPONSES
WOS研究方向	Computer Science ; Neurosciences & Neurology
语种	英语
WOS记录号	WOS:000430190600016
资助机构	National Natural Science Foundation of China(91520202 ; CAS Scientific Equipment Development Project(YJKYYQ20170050) ; Youth Innovation Promotion Association CAS ; 81671651)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/21582]
专题	自动化研究所_类脑智能研究中心
作者单位	1.Chinese Acad Sci, Inst Automat, Res Ctr Brain Inspired Intelligence, Beijing, Peoples R China 2.UCAS, Beijing, Peoples R China 3.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Li, Jinpeng,Zhang, Zhaoxiang,He, Huiguang. Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition[J]. COGNITIVE COMPUTATION,2018,10(2):368-380.
APA	Li, Jinpeng,Zhang, Zhaoxiang,&He, Huiguang.(2018).Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition.COGNITIVE COMPUTATION,10(2),368-380.
MLA	Li, Jinpeng,et al."Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition".COGNITIVE COMPUTATION 10.2(2018):368-380.