基于DBN和RF的跨被试情绪识别研究

王发旺, 陈睿, 伏云发

Cross⁃subject emotion recognition based on DBN and RF

Fawang Wang, Rui Chen, Yunfa Fu

表6 使用SVM分类器在不同频段识别不同特征的平均准确率(单位：%)对比

Table 6 Average classification accuracy (unit：%) of SVM for different features in different frequency bands

		Dela	Theta	Alpha	Beta	Gamma
本文	PSD	63.75	51.25	54.375	54.375	56.875
	DE	47.84	48.52	57.62	64.89	66.2
	DASM	42.24	40.65	45.72	46.35	47.41
	RASM	40.73	41.98	45.54	45.86	47.86
	DCAU	38.56	41.44	43.56	45.51	45.65
Singh et al^[12] (12通道)	PSD	57.55	62.73	65.87	75.8	75.68
	DE	54.7	62.13	68.18	77.6	77.86
	DASM	46.94	46.85	59.45	69.04	70.61
	RASM	45.88	45.97	58.97	68.8	70.58
	DCAU	37.56	41.14	43.56	45.41	45.65