SmartITS: Smartphone-based identification and tracking using seamless indoor-outdoor localization

Kulshrestha, Tarun; Saxena, Divya; Niyogi, Rajdeep; Raychoudhury, Vaskar; Misra, Manoj

doi:10.1016/j.jnca.2017.09.003

Cited by 25 publications

(9 citation statements)

References 24 publications

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“…This environment-centric application’s nature limits the applicability and widespread use in real-life scenarios. Hence, there is a dire need for environment-independent localization algorithms that are feasible for both indoor and outdoor applications [ 94 , 95 , 96 ]. This will eventually improve the adaptability of these applications in practical applications such as emergency evacuations, shipment/cargo tracking, and mission-critical applications.…”

Section: Future Directionsmentioning

confidence: 99%

A Systematic Review of Location Aware Schemes in the Internet of Things

Khan

Saboor

Kim

et al. 2021

Sensors

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The rapid development in wireless technologies is positioning the Internet of Things (IoT) as an essential part of our daily lives. Localization is one of the most attractive applications related to IoT. In the past few years, localization has been gaining attention because of its applicability in safety, health monitoring, environment monitoring, and security. As a result, various localization-based wireless frameworks are being presented to improve such applications’ performances based on specific key performance indicators (KPIs). Therefore, this paper explores the recently proposed localization schemes in IoT. Initially, this paper explains the major KPIs of localization. After that, a thorough comparison of recently proposed localization schemes based on the KPIs is presented. The comparison includes an overview, architecture, network structure, performance parameters, and target KPIs. At the end, possible future directions are presented for the researchers working in this domain.

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Section: Future Directionsmentioning

confidence: 99%

A Systematic Review of Location Aware Schemes in the Internet of Things

Khan

Saboor

Kim

et al. 2021

Sensors

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“…However, given the fact that GPS can be sometimes inaccurate (in the order of dozens of meters, especially in cities), other techniques, proposed in the literature, can be considered. Among these solutions, we mention, radio-frequency, cellular networks, sensor networks, or even Internet-based localization techniques [8] – [12] . These approaches can accurately estimate device locations (for both indoor and outdoor scales like buildings and cities, etc.…”

Section: Proposed Solutionmentioning

confidence: 99%

“…Actually, during dangerous outbreaks where rapid tracking of infected people becomes an urgency, in addition to personal smartphones and public indoor (entry/exit) cameras, governments can consider using other tracking techniques like for instance electronic bracelets, public outdoor security cameras, drones, or even satellites. Furthermore, to consolidate the previous two approaches, solutions such as Bluetooth or NFC 2 can also be considered [8] – [12] . In the same context, as previously mentioned, in the event of technical issues related to GPS, governments can opt for alternative efficient geo-localization techniques [9] , [11] .…”

Section: Proposed Solutionmentioning

confidence: 99%

Tracking COVID-19 by Tracking Infectious Trajectories

2020

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Nowadays, the coronavirus pandemic has and is still causing large numbers of deaths and infected people. Although governments all over the world have taken severe measurements to slow down the virus spreading (e.g., travel restrictions, suspending all sportive, social, and economic activities, quarantines, social distancing, etc.), a lot of persons have died and a lot more are still in danger. Indeed, a recently conducted study [1] has reported that 79% of the confirmed infections in China were caused by undocumented patients who had no symptoms. In the same context, in numerous other countries, since coronavirus takes several days before the emergence of symptoms, it has also been reported that the known number of infections is not representative of the real number of infected people (the actual number is expected to be much higher). That is to say, asymptomatic patients are the main factor behind the large quick spreading of coronavirus and are also the major reason that caused governments to lose control over this critical situation. To contribute to remedying this global pandemic, in this paper, we propose an IoT a investigation system that was specifically designed to spot both undocumented patients and infectious places. The goal is to help the authorities to disinfect high-contamination sites and confine persons even if they have no apparent symptoms. The proposed system also allows determining all persons who had close contact with infected or suspected patients. Consequently, rapid isolation of suspicious cases and more efficient control over any pandemic propagation can be achieved.

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“…Actually, during dangerous outbreaks where rapid tracking of infected people becomes an urgency, in addition to personal smartphones and public indoor (entry/exit) cameras, governments can consider using other tracking techniques like for instance electronic bracelets, public outdoor security cameras, drones, or even satellites. Furthermore, to consolidate the previous two approaches, solutions such as Bluetooth or NFC 3 can also be considered [7,8,9,10,11]. In the same context, in the event of technical issues related to GPS, governments can opt for alternative efficient geo-localization techniques [8,10].…”

Section: Geolocalization Datamentioning

confidence: 99%

Tracking COVID-19 by Tracking Infectious Trajectories

Benreguia¹,

Moumen²,

Merzoug³

2020

Preprint

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Nowadays, the coronavirus pandemic has and is still causing large numbers of deaths and infected people. Although governments all over the world have taken severe measurements to slow down the virus spreading (e.g., travel restrictions, suspending all sportive, social, and economic activities, quarantines, social distancing, etc.), a lot of persons have died and a lot more are still in danger. Indeed, a recently conducted study [1] has reported that 79% of the confirmed infections in China were caused by undocumented patients who had no symptoms. In the same context, in numerous other countries, since coronavirus takes several days before the emergence of symptoms, it has also been reported that the known number of infections is not representative of the real number of infected people (the actual number is expected to be much higher). That is to say, asymptomatic patients are the main factor behind the large quick spreading of coronavirus and are also the major reason that caused governments to lose control over this critical situation. To contribute to remedying this global pandemic, in this paper, we propose an IoT 1 investigation system that was specifically designed to spot both undocumented patients and infectious places. The goal is to help the authorities to disinfect high-contamination sites and confine persons even if they have no apparent symptoms. The proposed system also allows determining all persons who had close contact with infected or suspected patients. Consequently, rapid isolation of suspicious cases and more efficient control over any pandemic propagation can be achieved.

show abstract

SmartITS: Smartphone-based identification and tracking using seamless indoor-outdoor localization

Cited by 25 publications

References 24 publications

A Systematic Review of Location Aware Schemes in the Internet of Things

A Systematic Review of Location Aware Schemes in the Internet of Things

Tracking COVID-19 by Tracking Infectious Trajectories

Tracking COVID-19 by Tracking Infectious Trajectories

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