Body Posture Analysis for the Classification of Classroom Scenes

Student feedback is useful for teachers to improve their teaching. Although it is common to receive student ratings in universities, the low frequency of such feedback reduces the utility of the information. Using methods that do not rely on ratings can increase the frequency of feedback. We investi...

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Bibliographic Details
Published inInterdisciplinary Information Sciences Vol. 28; no. 1; pp. 55 - 62
Main Authors HATORI, Yasuhiro, NAKAJIMA, Taira, WATABE, Shinichi
Format Journal Article
LanguageEnglish
Published Sendai The Editorial Committee of the Interdisciplinary Information Sciences 2022
Japan Science and Technology Agency
Subjects
Alliances
body posture
Classrooms
clustering
Clusters
Colleges & universities
engagement
Fads
Feedback
Ratings
reflection
Students
Teachers
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Summary:Student feedback is useful for teachers to improve their teaching. Although it is common to receive student ratings in universities, the low frequency of such feedback reduces the utility of the information. Using methods that do not rely on ratings can increase the frequency of feedback. We investigated whether the body posture of students can be used as an indicator of classroom engagement. In this paper, we estimated body posture from videos taken of students in the audience during a presentation and classified the scenes based on the postural similarity. The obtained clusters showed that body posture changed over time and did not return to the original state. A comparison between clusters at the beginning and end of the presentation showed that the standard deviation of head direction becomes large at the end, suggesting that body posture might reflect the degree of distraction. We discussed how body posture information facilitates teachers' reflection.
ISSN:1340-9050
1347-6157
DOI:10.4036/iis.2022.A.05