Enhancing BCI-Based Emotion Recognition Using an Improved Particle Swarm Optimization for Feature Selection

Enhancing BCI-Based Emotion Recognition Using an Improved Particle Swarm Optimization for Feature Selection

Electroencephalogram (EEG) signals have been widely used in emotion recognition. However, the current EEG-based emotion recognition has low accuracy of emotion classification, and its real-time application is limited. In order to address these issues, in this paper, we proposed an improved feature s...

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Những tác giả chính:	Zina Li, Lina Qiu, Ruixin Li, Zhipeng He, Jun Xiao, Yan Liang, Fei Wang, Jiahui Pan
Định dạng:	Bài viết
Ngôn ngữ:	English
Được phát hành:	MDPI AG 2020-05-01
Loạt:	Sensors
Những chủ đề:	electroencephalography (EEG) brain-computer interface (BCI) emotion recognition feature selection particle swarm optimization (PSO)
Truy cập trực tuyến:	https://www.mdpi.com/1424-8220/20/11/3028

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