Application of Campus Big Data in the Field of Student Physical and Mental Health

DOI

10.2991/978-94-6463-264-4_74How to use a DOI?

Keywords

educational data mining; Big data analysis; Physical and mental quality evaluation; Data governance

Abstract

This work presents an innovative application of a student physical and mental health monitoring system based on campus big data. The paper highlights the implementation of this system by China Mobile in major universities. The system incorporates emotion intelligent analysis technology using image recognition, multi-source heterogeneous data collection techniques, and various data mining algorithms such as difference analysis, feature labeling, behavior indices, and academic performance prediction.[1] The practical scenarios of the system have been validated.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yin Bai
AU  - Zhixian Zhang
AU  - Lina Tang
AU  - Kairui Yang
AU  - Ruiting Yang
PY  - 2023
DA  - 2023/09/28
TI  - Application of Campus Big Data in the Field of Student Physical and Mental Health
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 640
EP  - 648
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_74
DO  - 10.2991/978-94-6463-264-4_74
ID  - Bai2023
ER  -