Experimental paradigm for EEG based off-line lie detection. Experiment consists of a 2-participant system with primary user(player) and observer, where the primary user (as per program instructions) tries to either truthfully or falsely report observed stimuli to the observer. Data collection is performed for EEG on both participants, as well as facial expression video of the primary user. With utilization of machine learning algorithms which include neural networks, our research reports above-chance binary classification of deceptive/truthful intents.
Contact: Yiyu Chen (firstname.lastname@example.org)