Multimodal Group Activity Dataset for Classroom Engagement Level Prediction

04/18/2023

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by   Alpay Sabuncuoğlu, et al.

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We collected a new dataset that includes approximately eight hours of audiovisual recordings of a group of students and their self-evaluation scores for classroom engagement. The dataset and data analysis scripts are available on our open-source repository. We developed baseline face-based and group-activity-based image and video recognition models. Our image models yield 45-85 Our video models achieved up to 71 using group activity video inputs. In this technical report, we shared the details of our end-to-end human-centered engagement analysis pipeline from data collection to model development.