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Automatically recognizing pain from spontaneous facial expression is of increased attention, since it can provide for a direct and relatively objective indication to pain experience. Until now, most of the existing works have focused on analyzing pain from individual images or video-frames, hence discarding the spatio-temporal information that can be useful in the continuous assessment of pain. In this context, this paper investigates and quantifies for the first time the role of thedoi:10.1109/ipta.2016.7820930 dblp:conf/ipta/YangTLBPFH16 fatcat:zo33ouns4ba6bftuyb6icepzua