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The database included signals where the tactile pressure was varied systematically, where the sliding speed was varied systematically, and also where the touching posture were varied systematically. We found that using standard sound feature-extraction, a random forest classifier was able to predict with an accuracy greater than 90% that a signal came from self-touch or from other-touch regardless of the variation of the other factors. 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