基于宽视野脑功能成像技术的视觉空间面部表情识别的脑机制研究

项目名称： 基于宽视野脑功能成像技术的视觉空间面部表情识别的脑机制研究

项目编号： No.61305142

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 自动化技术、计算机技术

项目作者： 闫天翼

作者单位： 北京理工大学

项目金额： 25万元

中文摘要： 面部表情识别是人类特有的高级脑功能，其大脑机制至今尚未阐明。从空间视知觉的角度研究面部表情识别的大脑加工模式，可以很好地控制面部表情的强度和降低无关变量的影响，为研究大脑机制提供新视角。本项目将利用功能核磁共振技术（fMRI）和宽视野视觉图像显示设备，对被试呈现空间视觉(中心和周边)的面部表情图片(中性、高兴和恐惧)，利用一元线性模型（GLM）比较不同表情在视觉皮层的激活区域及其信号变化，探讨视觉皮质对中心和周边的面部表情认知的神经机制差异。进一步利用多体素解析方法识别中心-周边面部刺激空间种类，分析视觉皮质对中心和周边面部表情认知的差别，确认中心和周边视觉皮层对面部表情识别的认知偏好，最终确定视觉皮质空间表情认知的神经模型。本研究将解决面部表情认知的科学难题，为面部表情识别机制解明、脑部图像再现、计算机视觉和仿真机器人研究提供理论依据。

中文关键词： 脑功能成像；脑电图；面孔加工；面部表情识别；

英文摘要： Facial Expression Recognition is a newly developing research direction in the Field of artificial intelligence. The one of the study aim is to recognize Human Facial Expression automatically and analyze the emotion in artificial intelligence products, such as robots. Automatic Facial Expression Recognition is an important part of Computer Vision Research with vital value of research and application for further enhancing the friendly and intelligent human-computer interaction. Study on neural mechanism for facial expression, a very important point is based visual perception research. Early visual areas of primates are retinotopically organized, so that the visual field is mapped in each area along two orthogonal axes: polar angle and eccentricity. The center/periphery organization, that is, eccentricity mapping, is one of the most striking and robust organizational principles in the primate visual cortex. The center/periphery organization extends into higher-order visual areas, whereas the polar angle representation in these areas is cruder, and orderly representations of the visual field meridians are absent. Despite the evident importance of eccentricity maps, their possible relationship to object recognition has received little attention, and the possible effect of this organization on the way different object

英文关键词： fMRI；EEG；Face Recognition；Facial Expression Recognition；