Method for Measuring 3D Cognitive Load by Analyzing Dimension Reduced EEG Features
In this paper, a method for measuring 3D cognitive load is proposed. For that, 8 channel EEG data when watching 2D and 3D displays are 2dimensionally reduced using principal component analysis then the reduced features are visualized and compared. Consequently, we confirmed that the difference between two feature distributions of watching 2D and 3D at early stage was significant then the difference was reduced through watching time flow. The result can be analyzed that the cognitive load caused by 3D binocular visual combination at early stage and the adaptation of 3D watching time.