01688nas a2200385   4500008004100000020002200041245004000063210004000103260002800143520060700171653001400778653002400792653001900816653002100835653002800856653001300884653001100897653003900908653002100947653001900968653001500987653004401002653002601046653001701072653001101089653002501100653002001125653001601145100001101161700001401172700001501186700001701201700001701218856006701235       2009                        eng d  a978-1-4244-4117-400aLearning to Make Facial Expressions0 aLearning to Make Facial Expressions  aShanghaibIEEEc06/20093 a<p><span style="color: rgb(68, 68, 68); font-family: 'Lucida Grande', Verdana, sans-serif; font-size: 14px;">This paper explores the process of self-guided learning of realistic facial expression production by a robotic head with 31 degrees of freedom. Facial motor parameters were learned using feedback from real-time facial expression recognition from video. The experiments show that the mapping of servos to expressions was learned in under one-hour of training time. We discuss how our work may help illuminate the computational study of how infants learn to make facial expressions.</span></p>
10aActuators10aEmotion recognition10aface detection10aface recognition10afacial motor parameters10aFeedback10aHumans10alearning (artificial intelligence)10aMachine Learning10aMagnetic heads10aPediatrics10areal-time facial expression recognition10aRobot sensing systems10arobotic head10aRobots10aself-guided learning10aServomechanisms10aServomotors1 aWu, T.1 aButko, N.1 aRuvulo, P.1 aBartlett, M.1 aMovellan, J.  uhttps://rubi.ucsd.edu/content/learning-make-facial-expressions