WiTrack: Human-to-human mobility relationship tracking in indoor environments based on spatio-temporal wireless signal strength

Ting Han Chen, Sok Ian Sou, Yinman Lee

研究成果: Conference contribution

3 引文 斯高帕斯(Scopus)

摘要

With the widespread adoption of smartphones and other wearable devices nowadays, the massive amount of transmitted wireless signals left behind by the users provides a significant potential source of time and location information regarding human mobility. Furthermore, WiFi and Bluetooth wireless signal strength measurements have emerged as a promising solution for delivering proximity services to users. Accordingly, the present study proposes a system designated as WiTrack for tracking human-to-human mobility relationships in indoor environments based on the correlation between their wireless fingerprints. In particular, the mobility similarity between each pair of individuals is evaluated using the signal power features observed by a set of scanners deployed at different locations (i.e., spatial features) over time (i.e., temporal features). A higher similarity value is taken to indicate a more similar mobility behavior of the users. The feasibility of WiTrack is demonstrated using a testbed built in the corridor of a university campus.

原文English
主出版物標題Proceedings - IEEE 17th International Conference on Dependable, Autonomic and Secure Computing, IEEE 17th International Conference on Pervasive Intelligence and Computing, IEEE 5th International Conference on Cloud and Big Data Computing, 4th Cyber Science and Technology Congress, DASC-PiCom-CBDCom-CyberSciTech 2019
發行者Institute of Electrical and Electronics Engineers Inc.
頁面788-795
頁數8
ISBN(電子)9781728130248
DOIs
出版狀態Published - 2019 八月
事件17th IEEE International Conference on Dependable, Autonomic and Secure Computing, IEEE 17th International Conference on Pervasive Intelligence and Computing, IEEE 5th International Conference on Cloud and Big Data Computing, 4th Cyber Science and Technology Congress, DASC-PiCom-CBDCom-CyberSciTech 2019 - Fukuoka, Japan
持續時間: 2019 八月 52019 八月 8

出版系列

名字Proceedings - IEEE 17th International Conference on Dependable, Autonomic and Secure Computing, IEEE 17th International Conference on Pervasive Intelligence and Computing, IEEE 5th International Conference on Cloud and Big Data Computing, 4th Cyber Science and Technology Congress, DASC-PiCom-CBDCom-CyberSciTech 2019

Conference

Conference17th IEEE International Conference on Dependable, Autonomic and Secure Computing, IEEE 17th International Conference on Pervasive Intelligence and Computing, IEEE 5th International Conference on Cloud and Big Data Computing, 4th Cyber Science and Technology Congress, DASC-PiCom-CBDCom-CyberSciTech 2019
國家/地區Japan
城市Fukuoka
期間19-08-0519-08-08

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電腦網路與通信
  • 硬體和架構
  • 資訊系統與管理
  • 資訊系統
  • 安全、風險、可靠性和品質
  • 控制和優化

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