A biologically inspired model of emotion eliciting from visual stimuli
Ren, Dongchun1; Wang, Peng2; Qiao, Hong1; Zheng, Suiwu1
发表期刊NEUROCOMPUTING
2013-12-09
卷号121页码:328-336
文章类型Article
摘要Several emotion eliciting models have been proposed in the literature, however most of them are still artificial models which ignore the biological basis. We propose an emotion (without awareness) eliciting model from visual stimuli, which is inspired by biology: we describe an emotion eliciting process that follows the circuits of emotion in the brain derived through the results of neuroscience and the three major modules in the process, visual perception, emotion-eliciting region and emotional valence elicited by the region, are all supported by biology research. In our work, visual perception works with visual stimuli from coarse to the finer level according to human visual system. The elicited emotion in coarse level is also capable of affecting the emotion valence in the finer level. Based on psychophysical research, the emotion-eliciting region is selected out through color preference. The emotion is elicited by the emotion-eliciting region rather than overall visual context, which has been first introduced to computational modeling of emotion eliciting from image stimuli. The emotional valence elicited by the region is calculated on coarseness and directionality by comparing with stored image representations. In the experiments, two types of visual stimuli are considered: (1) natural scenes stimuli and (2) natural scenes and mutilation scenes stimuli. We compare the performance of our model with International Affective Picture System (IAPS), a large set of emotionally evocative color photographs that includes pleasure and arousal ratings made by men and women. Experimental results show that our model can generate human-like emotion based on natural scenes stimuli and obtain the positive or negative emotion as people feel on natural scenes and mutilation scenes stimuli. (C) 2013 Elsevier B.V. All rights reserved.
关键词Emotion Eliciting Model Emotion-eliciting Region Emotional Valence Emotion Circuits Visual Information
WOS标题词Science & Technology ; Technology
关键词[WOS]ATTENTION ; RECOGNITION ; PERCEPTION ; ACTIVATION ; COGNITION ; AMYGDALA ; CORTEX ; INTELLIGENCE ; VALENCE ; BRAIN
收录类别SCI ; SSCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000325303800033
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被引频次:8[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/3041
专题多模态人工智能系统全国重点实验室_机器人理论与应用
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Inst Automat, Res Ctr Precis Sensing & Control, Beijing 100190, Peoples R China
第一作者单位中国科学院自动化研究所
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Ren, Dongchun,Wang, Peng,Qiao, Hong,et al. A biologically inspired model of emotion eliciting from visual stimuli[J]. NEUROCOMPUTING,2013,121:328-336.
APA Ren, Dongchun,Wang, Peng,Qiao, Hong,&Zheng, Suiwu.(2013).A biologically inspired model of emotion eliciting from visual stimuli.NEUROCOMPUTING,121,328-336.
MLA Ren, Dongchun,et al."A biologically inspired model of emotion eliciting from visual stimuli".NEUROCOMPUTING 121(2013):328-336.
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