立体深度运动感知的脑电信号研究

Study on EEG of Stereoscopic Deep Motion Perception

立体显示舒适度在很大程度上取决于立体深度运动变化。该文基于脑电EEG技术对两类深度运动的特征进行识别。首先通过主观实验确定脑电实验所用的两类视频素材,计算脑电信号在时域和时频域的点列r^2值,并通过共同空间模式提取不同脑区和整个脑区的时频域差异最大的EEG信号的空域特征,采用支持向量机进行信号分类。仿真分析结果证明:刺激时大脑顶区脑电信号的α、β频带相对能量上升;对于两类深度运动,差异最显著的波段集中在顶区的α频带;Dorsal路径上具有相对较高的分类率。这表明,观看立体深度运动场景时,采用EEG去识别舒适度具有可行性。

Stereoscopic motion in depth is a critical factor affecting visual perception.This paper utilized electroencephalogram(EEG)technique to investigate the effects of motion in depth.Two types of velocities(comfort and discomfort)are selected for the EEG experiment based on subjective results.The squared biserial correlation coefficient r^2 is computed.The classification accuracies of different brain areas are obtained by SVM after CSP.The results prove that the EEG sub-bandαandβin partial area are more active in stimuli period,and the most discriminative waveband is concentrated onαband is the parietal area for two types of motion-in-depth.The higher accuracy on Dorsal pathways shows that it is feasible to identify two labels caused by motion in depth automatically using EEG.