Design of Flight Cadet Emotion Intelligent Prediction System Based on Mobile Phone Software Data

Hao Wen, Zhiyong Zhang, Congcong Lv, Xiaolong Feng, Guan Yuan

2022

Abstract

With the further development of big data technology, the use of big data technology to collect the data of mobile phone software, applied to the analysis of flying cadets’ mood, can help flight cadets, flight coaches and flight doctors to understand the emotional state of flight cadets, find the signs of bad emotions in time, help them get rid of bad emotions, and have a good effect on improving cadets’ learning enthusiasm and mental health. In this paper, through the literature method, analysis method, system method and other methods, the relevant mobile phone software data, as well as more mature and practical hardware and software, are reasonably selected to design the emotional intelligent prediction system. The system describes how to design the emotional intelligent prediction system according to the principle of emotion prediction, the design of the intelligent prediction system, and the application prospect of the intelligent prediction system, etc. We also provide a theoretical basis and application scope for the next step of developing the emotional intelligent prediction system.

Paper Citation

in Harvard Style

Wen H., Zhang Z., Lv C., Feng X. and Yuan G. (2022). Design of Flight Cadet Emotion Intelligent Prediction System Based on Mobile Phone Software Data. In Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME; ISBN 978-989-758-636-1, SciTePress, pages 635-640. DOI: 10.5220/0012041100003620

in Bibtex Style

@conference{icemme22,
author={Hao Wen and Zhiyong Zhang and Congcong Lv and Xiaolong Feng and Guan Yuan},
title={Design of Flight Cadet Emotion Intelligent Prediction System Based on Mobile Phone Software Data},
booktitle={Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME},
year={2022},
pages={635-640},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012041100003620},
isbn={978-989-758-636-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME
TI - Design of Flight Cadet Emotion Intelligent Prediction System Based on Mobile Phone Software Data
SN - 978-989-758-636-1
AU - Wen H.
AU - Zhang Z.
AU - Lv C.
AU - Feng X.
AU - Yuan G.
PY - 2022
SP - 635
EP - 640
DO - 10.5220/0012041100003620
PB - SciTePress