Automatic detection for students behaviors in a group presentation

Fekry, Ahmed, Dafoulas, Georgios ORCID logoORCID: and Ismail, Manal (2019) Automatic detection for students behaviors in a group presentation. 14th International Conference on Computer Engineering and Systems. In: ICCES 2019, 17 Dec 2019, Cairo, Egypt. e-ISBN 9781728152608, pbk-ISBN 9781728152615. [Conference or Workshop Item] (doi:10.1109/ICCES48960.2019.9068128)


This paper suggests a model for automatic detection of student behavior to be used in student presentations. The proposed approach is based on the combined use of computer vision libraries and machine learning algorithms to help and support in student assessment using video content. This paper is a part of a research study focusing on investigating and analysing, human behaviours and finding relations between human behaviours and their personal modalities using pattern recognition techniques. For the purpose of this study a group of specific behaviours expressed by students during group presentations in higher education level, are selected. The study proceeds with the detection of the occurrences of those behaviours and comparative analysis of the model's suggested behavioural patterns against those observed through the manual analysis of observations. Both approaches are based on the same set of video files.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer Science > Intelligent Environments group
Item ID: 32281
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Depositing User: George Dafoulas
Date Deposited: 09 Apr 2021 13:03
Last Modified: 13 Apr 2021 12:05

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