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We present a new approach to automatically recognize the pain expression from video sequences, which categorize pain as 4 levels: "no pain," "slight pain," "moderate pain," and " severe pain." First of all, facial velocity information, which is used to characterize pain, is determined using optical flow technique. Then visual words based on facial velocity are used to represent pain expression using bag of words. Final pLSA model is used for pain expression recognition, in order to improve thedoi:10.1155/2014/736106 pmid:24982986 pmcid:PMC3985295 fatcat:7cwk44eu7fc3rkbee7ou7ppdwq