In this paper, we explore the use of computer vision techniques to analyze students' moods during one-on-one teaching interactions. The eventual goal is to create automated tutoring systems that are sensitive to the student's mood and affective state. We find that the problem of accurately determining a child's mood from a single video frame is surprisingly difficult, even for humans. However when the system is allowed to make decisions based on information from 10 to 30 seconds of video, excellent performance may be obtained.
10 aautomated facial affect analysis 10 aautomated tutoring system 10 abehavioural sciences computing 10 acomputer vision technique 10 aContext 10 adecision making 10 aeducation 10 aEmotion recognition 10 aface recognition 10 aHuman 10 ahuman computer interaction 10 aLabeling 10 aMachine Learning 10 aMood 10 an Histograms 10 aone-on-one tutoring application 10 as Intelligent tutoring systems 10 astudent mood analysis 1 aButko, N. 1 aTheocharous, G. 1 aPhilipose, M. 1 aMovellan, J. uhttps://rubi.ucsd.edu/content/automated-facial-affect-analysis-one-one-tutoring-applications 01620nas a2200349 4500008004100000020002200041245006600063210006600129260003200195520052200227653001900749653001900768653002800787653003500815653001300850653003900863653001400902653002300916653002400939653001700963653001100980653003900991653002101030653000901051653002501060653001501085653001501100653003001115100001501145700001701160856009301177 2008 eng d a978-1-4244-2661-4 00 aAutomatic cry detection in early childhood education settings 0 aAutomatic cry detection in early childhood education settings aMonterey, CA bIEEE c08/2008 3 aWe present results on applying a novel machine learning approach for learning auditory moods in natural environments [1] to the problem of detecting crying episodes in preschool classrooms. The resulting system achieved levels of performance approaching that of human coders and also significantly outperformed previous approaches to this problem [2].
10 aAcoustic noise 10 aauditory moods 10 aautomatic cry detection 10 abehavioural sciences computing 10 aDeafness 10 aearly childhood education settings 10 aeducation 10 aEducational robots 10 aEmotion recognition 10 ahuman coders 10 aHumans 10 alearning (artificial intelligence) 10 aMachine Learning 10 aMood 10 apreschool classrooms 10 aPrototypes 10 aRobustness 10 aWorking environment noise 1 aRuvolo, P. 1 aMovellan, J. uhttps://rubi.ucsd.edu/content/automatic-cry-detection-early-childhood-education-settings