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WiTrack: Human-to-Human Mobility Relationship Tracking in I..:
, In:
2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
,
Chen, Ting-Han
;
Sou, Sok-Ian
;
Lee, Yinman
- p. 788-795 , 2019
Link:
https://doi.org/10.1109/DASC/PiCom/CBDCom/CyberSciTech..
RT T1
2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
: T1
WiTrack: Human-to-Human Mobility Relationship Tracking in Indoor Environments Based on Spatio-Temporal Wireless Signal Strength
UL https://suche.suub.uni-bremen.de/peid=ieee-8890262&Exemplar=1&LAN=DE A1 Chen, Ting-Han A1 Sou, Sok-Ian A1 Lee, Yinman YR 2019 K1 Wireless communication K1 Wireless fidelity K1 Wireless sensor networks K1 Communication system security K1 Smart phones K1 Correlation K1 Prototypes K1 mobility tracking, human-to-human relationship, vector similarity, wireless fingerprint, human movement detection SP 788 OP 795 LK http://dx.doi.org/https://doi.org/10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00146 DO https://doi.org/10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00146 SF ELIB - SuUB Bremen
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