Abstract: In this paper, we investigate human decision confidence during image interpretation in an object detection task using electroencephalography (EEG) signals. We develop an EEG dataset acquired from 14 subjects. Five popular EEG features, differential entropy (DE), power spectral density (PSD), differential asymmetry (DASM), rational asymmetry (RASM) and asymmetry (ASM), and two classifiers, a support vector machine (SVM) and a deep neural network with shortcut connections (DNNS), are adopted to measure decision confidence in the object detection ...
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Topics: 
Artificial intelligence
Machine learning
Speech recognition