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One of the main factors that limit the accuracy of facial analysis systems is hand occlusion. As the face becomes occluded, facial features are either lost, corrupted or erroneously detected. Hand-over-face occlusions are considered not only very common but also very challenging to handle. Moreover, there is empirical evidence that some of these hand-over-face gestures serve as cues for recognition of cognitive mental states. In this paper, we detect hand-over-face occlusions and classifydoi:10.1145/2663204.2663258 dblp:conf/icmi/MahmoudB014 fatcat:a2wqdabuxffy5pisutsc56phhe