  Eye movement patterns reflect human latent internal cognitive activities. We
aim to discover eye movement patterns during face recognition under different
cognitions of information concealing. These cognitions include the degrees of
face familiarity and deception or not, namely telling the truth when observing
familiar and unfamiliar faces, and deceiving in front of familiar faces. We
apply Hidden Markov models with Gaussian emission to generalize regions and
trajectories of eye fixation points under the above three conditions. Our
results show that both eye movement patterns and eye gaze regions become
significantly different during deception compared with truth-telling. We show
the feasibility of detecting deception and further cognitive activity
classification using eye movement patterns.
