Emotional state recognition based on functional near-infrared spectroscopy

被引：0

作者：

Jiang J. ^{[1
]}

Jiao X. ^{[1
]}

Pan J. ^{[1
]}

Zhang Z. ^{[1
]}

Cao Y. ^{[1
]}

Xiao Y. ^{[1
]}

机构：

[1] National Key Laboratory of Human Factor Engineering, China Astronaut Research and Training Centre, Beijing

来源：

Guangxue Xuebao/Acta Optica Sinica | 2016年 / 36卷 / 03期

关键词：

Emotional state recognition; Functional near-infrared spectroscopy; Medical optics; Pattern recognition; Support vector machine;

D O I：

10.3788/AOS201636.0317002

中图分类号：

学科分类号：

摘要：

In order to investigate the human emotional state recognition, the functional near-infrared spectroscopy (fNIRs) technique is applied to measure hemodynamic signals of 15 participants who are requested to see six types of pictures, and the participants have to complete 7-point rating scale of valence and arousal after every picture stimulus. The support vector machine (SVM) and support vector machine based recursive feature elimination (SVMRFE) algorithm are applied to design classifiers. Under different emotional image stimulus, the hemodynamic signals of some participants show significant neural response. With the target classification based on valence, arousal and emotion category, the accuracy is 81%, 78.78% and 68%, respectively. The 5th and 6th channels for fNIRs measurement are significantly sensitive to arousal and valence state, and the two channels are located at orbitonfrontal cortex and dorsolateral prefrontal cortex regions. Besides, it is found that the entropy of fNIRs can reflect the variation in emotional state effectively. The results suggest that fNIRs can be used for recognition of human emotional state. © 2016, Chinese Laser Press. All right reserved.

引用

页数：11

共 31 条

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