干旱区生态环境知识资源中心(Arid): Decoding the neural signatures of valence and arousal from portable EEG headset

Arid

DOI	10.3389/fnhum.2022.1051463
	Decoding the neural signatures of valence and arousal from portable EEG headset
	Garg, Nikhil; Garg, Rohit; Anand, Apoorv; Baths, Veeky
通讯作者	Garg, R
来源期刊	FRONTIERS IN HUMAN NEUROSCIENCE
ISSN	1662-5161
出版年	2022
卷号	16
英文摘要	Emotion classification using electroencephalography (EEG) data and machine learning techniques have been on the rise in the recent past. However, past studies use data from medical-grade EEG setups with long set-up times and environment constraints. This paper focuses on classifying emotions on the valence-arousal plane using various feature extraction, feature selection, and machine learning techniques. We evaluate different feature extraction and selection techniques and propose the optimal set of features and electrodes for emotion recognition. The images from the OASIS image dataset were used to elicit valence and arousal emotions, and the EEG data was recorded using the Emotiv Epoc X mobile EEG headset. The analysis is carried out on publicly available datasets: DEAP and DREAMER for benchmarking. We propose a novel feature ranking technique and incremental learning approach to analyze performance dependence on the number of participants. Leave-one-subject-out cross-validation was carried out to identify subject bias in emotion elicitation patterns. The importance of different electrode locations was calculated, which could be used for designing a headset for emotion recognition. The collected dataset and pipeline are also published. Our study achieved a root mean square score (RMSE) of 0.905 on DREAMER, 1.902 on DEAP, and 2.728 on our dataset for valence label and a score of 0.749 on DREAMER, 1.769 on DEAP, and 2.3 on our proposed dataset for arousal label.
英文关键词	signal processing electroencephalography (EEG) machine learning valence arousal emotion feature extraction artifact rejection
类型	Article
语种	英语
开放获取类型	Green Published, Green Submitted, gold
收录类别	SCI-E
WOS记录号	WOS:000899080000001
WOS关键词	EMOTION RECOGNITION ; BAND OSCILLATIONS ; CIRCUMPLEX MODEL ; ATTENTION ; DOMINANCE ; SIGNALS ; CLASSIFICATION ; EXPRESSION ; FREQUENCY ; ASYMMETRY
WOS类目	Neurosciences ; Psychology
WOS研究方向	Neurosciences & Neurology ; Psychology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/392772
推荐引用方式 GB/T 7714	Garg, Nikhil,Garg, Rohit,Anand, Apoorv,et al. Decoding the neural signatures of valence and arousal from portable EEG headset[J],2022,16.
APA	Garg, Nikhil,Garg, Rohit,Anand, Apoorv,&Baths, Veeky.(2022).Decoding the neural signatures of valence and arousal from portable EEG headset.FRONTIERS IN HUMAN NEUROSCIENCE,16.
MLA	Garg, Nikhil,et al."Decoding the neural signatures of valence and arousal from portable EEG headset".FRONTIERS IN HUMAN NEUROSCIENCE 16(2022).