01907nas a2200373 4500008004100000020002200041245007400063210006900137260003700206520070300243653003700946653003000983653003501013653003001048653001201078653002001090653001401110653002401124653002101148653001001169653003101179653001301210653002101223653000901244653001701253653003601270653003501306653002601341100001401367700002001381700001801401700001701419856009701436 2011 eng d a978-1-4244-9140-700aAutomated facial affect analysis for one-on-one tutoring applications0 aAutomated facial affect analysis for oneonone tutoring applicati aSanta Barbara, CAbIEEEc03/20113 a
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.
10aautomated facial affect analysis10aautomated tutoring system10abehavioural sciences computing10acomputer vision technique10aContext10adecision making10aeducation10aEmotion recognition10aface recognition10aHuman10ahuman computer interaction10aLabeling10aMachine Learning10aMood10an Histograms10aone-on-one tutoring application10as Intelligent tutoring systems10astudent mood analysis1 aButko, N.1 aTheocharous, G.1 aPhilipose, M.1 aMovellan, J. uhttps://rubi.ucsd.edu/content/automated-facial-affect-analysis-one-one-tutoring-applications