Wifi Log-Based Student Behavior Analysis and Visualization System

F Chen, C Jing, H Zhang, X Lv - … Archives of the …, 2022 - isprs-archives.copernicus.org
Student behavior research can improve learning efficiency, provide decision evidences for
infrastructure management. Existing campus-scale behavioral analysis work have not taken …

Visualization and Analysis of Users' Online Behavior in Campus Network

K Liang, J Liu, H Pang - Proceedings of the 2019 8th international …, 2019 - dl.acm.org
While the network provides convenience for students, it also allows students with poor self-
control to get caught up in it. This paper uses the network log of college students' campus …

[HTML][HTML] Geo-Visualization of Spatial Occupancy on Smart Campus Using Wi-Fi Connection Log Data

Z Zhao, T Wang, Y Zhang, Z Wang, R Geng - ISPRS International Journal …, 2023 - mdpi.com
As a typical and special type of urban setting, the university campus usually faces similar
challenges as cities raised by high-density inhabitants. The smart campus has been …

A study on posture-based teacher-student behavioral engagement pattern

J Zhao, J Li, J Jia - Sustainable Cities and Society, 2021 - Elsevier
As an important part of sustainable society, smart campuses have attracted more and more
attention. By associating artificial intelligence with school infrastructure, it makes teaching …

Discovering meaningful mobility behaviors of campus life from user-centric WiFi traces

T Fang, X Hong - Proceedings of the SouthEast Conference, 2017 - dl.acm.org
User-centric WiFi traces1 are those traces that are actively collected by users in WiFi
networks. Users carry mobile devices and these devices scan, collect and record the data …

Wi-Crowd: Sensing and visualizing crowd on campus using Wi-Fi access point data

A Binthaisong, J Srichan… - Proceedings of the 2017 …, 2017 - dl.acm.org
This paper presents Wi-Crowd, a system for visualizing the crowd level based on Wi-Fi
usage data on campus by presenting it on an interactive 3D graphics, including map …

Behavior Represents Achievement: Academic Performance Analytics of Engineering Students via Campus Data

G Mei, Y Hou, T Zhang, W Xu - 2020 Chinese Automation …, 2020 - ieeexplore.ieee.org
Behavior analysis is an important research direction in the field of social computing.
Analysis, understanding and intervention of students' daily behavior patterns may provide a …

Understanding crowd behaviors in a social event by passive wifi sensing and data mining

Y Zhou, BPL Lau, Z Koh, C Yuen… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Understanding crowd behaviors in a large social event is crucial for event management.
Passive WiFi sensing, by collecting WiFi probe requests sent from mobile devices, provides …

Foot Traffic Analysis Using Wi-Fi Sensor During the Tokyo 2020 Olympics and Paralympics

P Traganmaturapot, N Sonehara… - 2023 7th …, 2023 - ieeexplore.ieee.org
Various real-world factors, such as time, weather, distance, environment, the COVID-19
pandemic, or even protests, can all impact human decision-making. However, restrictions …

Visual analysis and interactive interface design of students' abnormal behavior introducing clustering algorithm

X Wu, C Chen, L Quan - Technology and Health Care, 2024 - content.iospress.com
BACKGROUND: Traditional methods have the limitations of low accuracy and inconvenient
operation in analyzing students' abnormal behavior. Hence, a more intuitive, flexible, and …