Version 1
: Received: 29 January 2023 / Approved: 30 January 2023 / Online: 30 January 2023 (09:49:12 CET)
How to cite:
Liao, Z. CH-CC: A Chinese Multimodal Classroom Atmosphere Analysis Dataset Based on Teachers’ Behavior and Voice. Preprints2023, 2023010551. https://doi.org/10.20944/preprints202301.0551.v1
Liao, Z. CH-CC: A Chinese Multimodal Classroom Atmosphere Analysis Dataset Based on Teachers’ Behavior and Voice. Preprints 2023, 2023010551. https://doi.org/10.20944/preprints202301.0551.v1
Liao, Z. CH-CC: A Chinese Multimodal Classroom Atmosphere Analysis Dataset Based on Teachers’ Behavior and Voice. Preprints2023, 2023010551. https://doi.org/10.20944/preprints202301.0551.v1
APA Style
Liao, Z. (2023). CH-CC: A Chinese Multimodal Classroom Atmosphere Analysis Dataset Based on Teachers’ Behavior and Voice. Preprints. https://doi.org/10.20944/preprints202301.0551.v1
Chicago/Turabian Style
Liao, Z. 2023 "CH-CC: A Chinese Multimodal Classroom Atmosphere Analysis Dataset Based on Teachers’ Behavior and Voice" Preprints. https://doi.org/10.20944/preprints202301.0551.v1
Abstract
In this paper, we present a multimodal dataset for the analysis of classroom atmosphere, based on the behavior and voice of teachers in teaching scenarios. we propose four visual models, three audio models, and one visual-audio dual-modality model to be tested on our dataset. The results indicate that the CH-CC dataset is feasible and reliable and that the visual modality plays a major role in the analysis of this dataset.
Computer Science and Mathematics, Data Structures, Algorithms and Complexity
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
