Wi-Fi and Bluetooth Contact Tracing Without User Intervention

Previous contact tracing systems required the users to perform many manual actions, such as installing smartphone applications, joining wireless networks, or carrying custom user devices. This increases the barrier to entry and lowers the user adoption rate. As a result, the contact tracing effectiv...
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Autor*in:	Brosnan Yuen [verfasserIn] Yifeng Bie [verfasserIn] Duncan Cairns [verfasserIn] Geoffrey Harper [verfasserIn] Jason Xu [verfasserIn] Charles Chang [verfasserIn] Xiaodai Dong [verfasserIn] Tao Lu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Contact tracing received signal strength indicator (RSSI) round trip time (RTT) fine time measurement (FTM) Wi-Fi indoor localization bluetooth indoor localization

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 10(2022), Seite 91027-91044
Übergeordnetes Werk:	volume:10 ; year:2022 ; pages:91027-91044

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2022.3201645

Katalog-ID:	DOAJ087144115

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650		4	\|a received signal strength indicator (RSSI)
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650		4	\|a Wi-Fi indoor localization
650		4	\|a bluetooth indoor localization
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allfieldsGer	10.1109/ACCESS.2022.3201645 doi (DE-627)DOAJ087144115 (DE-599)DOAJ9b1b49e3dea84216b00b2633371ed795 DE-627 ger DE-627 rakwb eng TK1-9971 Brosnan Yuen verfasserin aut Wi-Fi and Bluetooth Contact Tracing Without User Intervention 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Previous contact tracing systems required the users to perform many manual actions, such as installing smartphone applications, joining wireless networks, or carrying custom user devices. This increases the barrier to entry and lowers the user adoption rate. As a result, the contact tracing effectiveness is reduced. Unlike the systems above, we propose a new privacy preserving Wi-Fi and Bluetooth (BLE) contact tracing system that does not require smartphone applications, joining wireless networks, or custom user devices. Our specially built routers seamlessly track smartphones, laptops, smartwatches, BLE headphones, and tablets without any user action, but do not trace user identity. Mapping between devices and users is only carried out for confirmed cases and suspected contacts. Moreover, we can track the absolute positions of user devices within 1.0 m due to using bidirectional long short-term memory neural networks that are trained with data pre-collected by an autonomous robot. This allows public health authorities to track indirect droplet and surface transmissions that other contact tracing systems often overlook. Contact tracing received signal strength indicator (RSSI) round trip time (RTT) fine time measurement (FTM) Wi-Fi indoor localization bluetooth indoor localization Electrical engineering. Electronics. Nuclear engineering Yifeng Bie verfasserin aut Duncan Cairns verfasserin aut Geoffrey Harper verfasserin aut Jason Xu verfasserin aut Charles Chang verfasserin aut Xiaodai Dong verfasserin aut Tao Lu verfasserin aut In IEEE Access IEEE, 2014 10(2022), Seite 91027-91044 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:10 year:2022 pages:91027-91044 https://doi.org/10.1109/ACCESS.2022.3201645 kostenfrei https://doaj.org/article/9b1b49e3dea84216b00b2633371ed795 kostenfrei https://ieeexplore.ieee.org/document/9866766/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2022 91027-91044
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callnumber-first	T - Technology
author	Brosnan Yuen
spellingShingle	Brosnan Yuen misc TK1-9971 misc Contact tracing misc received signal strength indicator (RSSI) misc round trip time (RTT) misc fine time measurement (FTM) misc Wi-Fi indoor localization misc bluetooth indoor localization misc Electrical engineering. Electronics. Nuclear engineering Wi-Fi and Bluetooth Contact Tracing Without User Intervention
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topic_title	TK1-9971 Wi-Fi and Bluetooth Contact Tracing Without User Intervention Contact tracing received signal strength indicator (RSSI) round trip time (RTT) fine time measurement (FTM) Wi-Fi indoor localization bluetooth indoor localization
topic	misc TK1-9971 misc Contact tracing misc received signal strength indicator (RSSI) misc round trip time (RTT) misc fine time measurement (FTM) misc Wi-Fi indoor localization misc bluetooth indoor localization misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc Contact tracing misc received signal strength indicator (RSSI) misc round trip time (RTT) misc fine time measurement (FTM) misc Wi-Fi indoor localization misc bluetooth indoor localization misc Electrical engineering. Electronics. Nuclear engineering
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title	Wi-Fi and Bluetooth Contact Tracing Without User Intervention
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title_full	Wi-Fi and Bluetooth Contact Tracing Without User Intervention
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title_sort	wi-fi and bluetooth contact tracing without user intervention
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title_auth	Wi-Fi and Bluetooth Contact Tracing Without User Intervention
abstract	Previous contact tracing systems required the users to perform many manual actions, such as installing smartphone applications, joining wireless networks, or carrying custom user devices. This increases the barrier to entry and lowers the user adoption rate. As a result, the contact tracing effectiveness is reduced. Unlike the systems above, we propose a new privacy preserving Wi-Fi and Bluetooth (BLE) contact tracing system that does not require smartphone applications, joining wireless networks, or custom user devices. Our specially built routers seamlessly track smartphones, laptops, smartwatches, BLE headphones, and tablets without any user action, but do not trace user identity. Mapping between devices and users is only carried out for confirmed cases and suspected contacts. Moreover, we can track the absolute positions of user devices within 1.0 m due to using bidirectional long short-term memory neural networks that are trained with data pre-collected by an autonomous robot. This allows public health authorities to track indirect droplet and surface transmissions that other contact tracing systems often overlook.
abstractGer	Previous contact tracing systems required the users to perform many manual actions, such as installing smartphone applications, joining wireless networks, or carrying custom user devices. This increases the barrier to entry and lowers the user adoption rate. As a result, the contact tracing effectiveness is reduced. Unlike the systems above, we propose a new privacy preserving Wi-Fi and Bluetooth (BLE) contact tracing system that does not require smartphone applications, joining wireless networks, or custom user devices. Our specially built routers seamlessly track smartphones, laptops, smartwatches, BLE headphones, and tablets without any user action, but do not trace user identity. Mapping between devices and users is only carried out for confirmed cases and suspected contacts. Moreover, we can track the absolute positions of user devices within 1.0 m due to using bidirectional long short-term memory neural networks that are trained with data pre-collected by an autonomous robot. This allows public health authorities to track indirect droplet and surface transmissions that other contact tracing systems often overlook.
abstract_unstemmed	Previous contact tracing systems required the users to perform many manual actions, such as installing smartphone applications, joining wireless networks, or carrying custom user devices. This increases the barrier to entry and lowers the user adoption rate. As a result, the contact tracing effectiveness is reduced. Unlike the systems above, we propose a new privacy preserving Wi-Fi and Bluetooth (BLE) contact tracing system that does not require smartphone applications, joining wireless networks, or custom user devices. Our specially built routers seamlessly track smartphones, laptops, smartwatches, BLE headphones, and tablets without any user action, but do not trace user identity. Mapping between devices and users is only carried out for confirmed cases and suspected contacts. Moreover, we can track the absolute positions of user devices within 1.0 m due to using bidirectional long short-term memory neural networks that are trained with data pre-collected by an autonomous robot. This allows public health authorities to track indirect droplet and surface transmissions that other contact tracing systems often overlook.
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title_short	Wi-Fi and Bluetooth Contact Tracing Without User Intervention
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