Personalized Analysis of Users Based on Wireless Detection

Abstract

It is of practical significance to conduct feature analysis of user mobility pattern. Compared with the previous researches, this paper employs a new way of data collection based on wireless detection. Specifically, it is able to capture Wi-Fi request signals from wearable devices and create the information sequence for each device with MAC as the identifier. Based on this, the digital features represented by the mobility pattern of Wi-Fi user are analyzed comprehensively. Eventually, A wireless data analysis platform applied at the Cultural Center was established.