TY - GEN
T1 - ProTrack
T2 - 2022 IEEE International Conference on Communications, ICC 2022
AU - Sou, Sok Ian
AU - Wu, Fang Jing
AU - Tsai, Jung Yang
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In this paper, we propose the ProTrack system to detect proximity levels and extract movement patterns to infer social relationships, which are key factors in many urban computing applications. In ProTrack, the system passively collects wireless broadcasting packets from the WiFi or Bluetooth-enabled mobile devices by multiple wireless scanners deployed in the region of interest. The received signal strength extracted from these packets is used to infer the devices' spatial and movement features. The proposed ProTrack mobility framework investigates the trajectory level, namely companion, follow, independent, and the proximity level, namely immediate, near, far for a pair of users. Based on the output results, the system can generate a graph-based proximity map and trajectory map to infer social distance and social relationship without depending on complicated infrastructure and localization.
AB - In this paper, we propose the ProTrack system to detect proximity levels and extract movement patterns to infer social relationships, which are key factors in many urban computing applications. In ProTrack, the system passively collects wireless broadcasting packets from the WiFi or Bluetooth-enabled mobile devices by multiple wireless scanners deployed in the region of interest. The received signal strength extracted from these packets is used to infer the devices' spatial and movement features. The proposed ProTrack mobility framework investigates the trajectory level, namely companion, follow, independent, and the proximity level, namely immediate, near, far for a pair of users. Based on the output results, the system can generate a graph-based proximity map and trajectory map to infer social distance and social relationship without depending on complicated infrastructure and localization.
UR - https://www.scopus.com/pages/publications/85137264718
UR - https://www.scopus.com/pages/publications/85137264718#tab=citedBy
U2 - 10.1109/ICC45855.2022.9838892
DO - 10.1109/ICC45855.2022.9838892
M3 - Conference contribution
AN - SCOPUS:85137264718
T3 - IEEE International Conference on Communications
SP - 4098
EP - 4103
BT - ICC 2022 - IEEE International Conference on Communications
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 16 May 2022 through 20 May 2022
ER -