【摘要】 为识别大脑信息获取与信息加工的状态,研究基于眼动的脑功能状态识别方法。使用眼动装置获取人类在阅读统计图时信息获取和信息加工的眼动数据,分析信息获取和信息加工过程的眼动模式差异;提取具有显著差异性的眼动特征,使用支持向量机(SVM)对人类信息获取和信息加工过程对应的脑状态进行识别。实验结果表明,不同的眼动模式反映了大脑不同的工作状态,通过眼动信息识别大脑的认知状态是可行有效的。更多还原

【Abstract】 To recognize human brain states of the information access and the information processing,the recognition method of the brain function state based on the eye movement was investigated.Firstly,eye movement data for the information access and the information processing while human reading the statistical graphs were acquired by using the eye tracker and the difference of eye movement patterns between the information access and the information processing was analyzed.Then,the eye movement features with the significant difference were extracted,and the brain state of the information access and the information processing was recognized by using the support vector machine(SVM).The results suggest that the eye movement patterns of the information access and the information processing are different,and the brain state can be recognized effectively with the eye movement information.更多还原