首页|基于脑电信息的图感认知响应规律及其量化分析方法

基于脑电信息的图感认知响应规律及其量化分析方法

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"图"是人类感知世界的重要媒介,图感认知是大脑认知思维中平面图元与三维形体间形成有效转换的关键通道,但人脑在接受图形输入、完成认知处理并实现知识输出的过程是认知心理学和脑科学交叉学科.目前缺乏充分的研究方法和理论基础,因此针对图感认知过程不清晰及认知分析方法缺乏等问题,根据认知事件的脑电位相关性理论,以二维投影图和三维模型为图感认知对象,设计脑电认知测试实验并分析P300电位变化情况.结果表明:图感认知相关部位主要为大脑的前半部分左额叶位置;P300 电位值可以用于反映大脑的图感认知程度,大脑对图像内容的接受能力越强,P300 电位峰值越低.对比不同样本P300 电位变化,可对图感认知过程进行分析,形成对图感认知能力的量化分析方法,提高图感认知内容对大脑的输入效率,对揭示图感输入和认知机理具有启示意义,并为图像交互深度应用反馈优化提供有效依据.
The regularity of cognitive response to image perception based on EEG information and its quantitative analysis method
"Images"serve as an important medium for human perception of the world,and image perception is a key channel for the effective conversion between planar elements and three-dimensional forms in cognitive thinking.However,the process of human brain accepting image input,completing cognitive processing,and realizing knowledge output is an interdisciplinary discipline between cognitive psychology and brain science,which lacks sufficient research methods and theoretical basis at present.Therefore,in view of the unclear cognitive process of image perception and the lack of cognitive analysis methods,the EEG cognitive test experiment were designed.These experiments analyzed the changes in P300 potential based on the theory of brain potential correlation of cognitive events,and two-dimensional projection map and three-dimensional model as the cognitive objects of image perception.The results demonstrated that the relevant parts of image perception were mainly in the left frontal lobe of the brain.The P300 potential value could be employed to reflect the cognitive degree of the brain's image perception.The stronger the brain's ability to accept the image content,the lower the P300 potential peak value.By comparing the P300 potential changes of different samples,the cognitive process of image perception could be analyzed to form a quantitative analysis method for the cognitive ability of image perception,improve the input efficiency of the cognitive content of image perception to the brain,and shed light on the input and cognitive mechanism of image perception,providing an effective basis for the application of feedback optimization in the depth of image interaction.

image perceptionbrain wavesP300 potentialbrain electrical activity mappingEEG experiment

伊鹏、田兴辉、刘广斗、魏庆冰、王帅、刘衍聪

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中国石油大学(华东)机电工程学院,山东 青岛 266580

图感认知 脑电波 P300电位 脑地形图 脑电实验

山东省本科教学改革重点项目(2023)山东省研究生教育教学改革研究项目(2021)中国石油大学(华东)研究生精品示范课程建设项目(2022)中国高教学会高等教育科研规划项目(2023)

Z2023250SDYJS21067UPCYJP-2022-0223XXK0408

2024

图学学报
中国图学学会

图学学报

CSTPCD北大核心
影响因子:0.73
ISSN:2095-302X
年,卷(期):2024.45(3)
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