Proximity detection for social distancing based on wireless signal strength time series

  • 蔡 榮漾

Student thesis: Doctoral Thesis


In recent years human behavior analysis has been a research hotspot and vision-based research is majority in this field Through the spread of smart mobile devices and the vigorous development of Internet of Things technology a large number of wireless signals such as Wi-Fi Bluetooth and telecommunications sent by mobile devices provide another kind of analyzable choice for human behavior analysis At the same time compared with the vision-based method the computing costs based on the wireless signal is lower This thesis proposes a method that can use wireless signal strength (RSSI) sequence to detect the proximity of movement between people We conducted several experiments on the corridor of the university campus to test the feasibility of this method
Date of Award2020
Original languageEnglish
SupervisorSok-Ian Sou (Supervisor)

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