Research Article
Early Warning Method of College Students Mental Subhealth Based on Internet of Things
@INPROCEEDINGS{10.1007/978-3-031-33545-7_4, author={Xiang Li}, title={Early Warning Method of College Students Mental Subhealth Based on Internet of Things}, proceedings={IoT and Big Data Technologies for Health Care. Third EAI International Conference, IoTCare 2022, Virtual Event, December 12-13, 2022, Proceedings}, proceedings_a={IOTCARE}, year={2023}, month={5}, keywords={Internet of Things Information Transmission Mental Health College Students Early Warning Evaluation Local Maintenance Mapping Algorithm}, doi={10.1007/978-3-031-33545-7_4} }- Xiang Li
Year: 2023
Early Warning Method of College Students Mental Subhealth Based on Internet of Things
IOTCARE
Springer
DOI: 10.1007/978-3-031-33545-7_4
Abstract
Aiming at the problem that the precision of information node localization is low, which leads to the low speed of information transmission. This paper puts forward an early-warning method of college students’ mental sub-health based on Internet of Things. Using sensors to build the Internet of Things network in colleges and universities to complete the college students’ mental health information collection and transmission. Association rule algorithm is used to analyze the original psychological information of students. Draw radar chart and evaluate the early warning grade of college students’ mental health by radar chart comparison. Design the early warning information transmission plan according to the operation requirements of the IOT. At this point, based on the Internet of Things college students mental sub-health early warning method design completed. The experimental results show that this method can improve the accuracy of information node location and speed up the transmission of mental sub-health warning information.
