Contactless fever measurement based on thermal imagery analysis

Güttler, Jörg; Georgoulas, Christos; Böck, Thomas

doi:10.1109/sas.2016.7479837

Cited by 8 publications

(8 citation statements)

References 21 publications

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“…As a result of the lack of a consistent processing interface and tools for thermal camera scanners, contactless instruments like these have some limitations in terms of temperature precision. Temperature measurement with thermal cameras has been investigated in a number of research [ 73 , 74 , 75 ]. However, these devices’ mass adoption is hindered by their autonomy, size, and expense.…”

Section: Issues and Challengesmentioning

confidence: 99%

Wireless Technologies for Social Distancing in the Time of COVID-19: Literature Review, Open Issues, and Limitations

Murad

Yussof

Badeel

2022

Sensors

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This research aims to provide a comprehensive background on social distancing as well as effective technologies that can be used to facilitate the social distancing practice. Scenarios of enabling wireless and emerging technologies are presented, which are especially effective in monitoring and keeping distance amongst people. In addition, detailed taxonomy is proposed summarizing the essential elements such as implementation type, scenarios, and technology being used. This research reviews and analyzes existing social distancing studies that focus on employing different kinds of technologies to fight the Coronavirus disease (COVID-19) pandemic. This study main goal is to identify and discuss the issues, challenges, weaknesses and limitations found in the existing models and/or systems to provide a clear understanding of the area. Articles were systematically collected and filtered based on certain criteria and within ten years span. The findings of this study will support future researchers and developers to solve specific issues and challenges, fill research gaps, and improve social distancing systems to fight pandemics similar to COVID-19.

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Section: Issues and Challengesmentioning

confidence: 99%

Wireless Technologies for Social Distancing in the Time of COVID-19: Literature Review, Open Issues, and Limitations

Murad

Yussof

Badeel

2022

Sensors

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“…Typical challenges in thermal vision need to face the temporal disappearance of the subjects [18], due to noisy readings and external heat sources that might be interpreted as false targets. Adaptive background subtraction methods, thresholding or probabilistic methods [19] should be therefore adopted to filter out noisy thermal sources that are not induced by body presence. More recently, the adoption of Bayesian tools over backlogs of thermal images has shown to prevent the problem of human body disappearance [10].…”

Section: A Related Workmentioning

confidence: 99%

Processing of Body-Induced Thermal Signatures for Physical Distancing and Temperature Screening

Savazzi

Rampa

Costa³

et al. 2021

IEEE Sensors J.

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Massive and unobtrusive screening of people in public environments is becoming a critical task to guarantee safety in congested shared spaces, as well as to support early non-invasive diagnosis and response to disease outbreaks. Among various sensors and Internet of Things (IoT) technologies, thermal vision systems, based on low-cost infrared (IR) array sensors, allow to track thermal signatures induced by moving people. Unlike contact tracing applications that exploit shortrange communications, IR-based sensing systems are passive, as they do not need the cooperation of the subject(s) and do not pose a threat to user privacy. The paper develops a signal processing framework that enables the joint analysis of subject mobility while automating the temperature screening process. The system consists of IR-based sensors that monitor both subject motions and health status through temperature measurements. Sensors are networked via wireless IoT tools and are deployed according to different configurations (wallor ceiling-mounted setups). The system targets the joint passive localization of subjects by tracking their mutual distance and direction of arrival, in addition to the detection of anomalous body temperatures for subjects close to the IR sensors. Focusing on Bayesian methods, the paper also addresses best practices and relevant implementation challenges using on field measurements. The proposed framework is privacy-neutral, it can be employed in public and private services for healthcare, smart living and shared spaces scenarios without any privacy concerns. Different configurations are also considered targeting both industrial, smart space and living environments.

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“…The use of sensors and cameras in indoor environments for health surveillance and remote monitoring brings clear advantages from a financial and logistical point. For example, the use of video to measure body temperature was widely adopted during the recent SARS-CoV-2 pandemic, however it is a technology that has been in use for some years [23]. One particular healthcare field that wireless contactless technologies have a strong impact is Ambient Assisted Living (AAL) [24,25].…”

Section: Related Workmentioning

confidence: 99%

Internet of Things Assisted Monitoring Using Ultrasound-Based Gesture Recognition Contactless System

et al. 2021

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In the last decade, we have seen an increase in the use cases of digital technologies in our daily lives, including advanced systems such as our mobile applications, smart digital kiosks for intelligent retailing, touch screens for ordering food, or simple implementations such as the ticket machines in the butchers. However, from the perspective of interaction design, those sensing systems suffer from a range of limitations like low usability and poor hygiene. For example, the elderly or the disabled normally have huge difficulties when interacting with these types of digital systems. Moreover, the recent SARS-CoV-2 pandemic has made us to rethink the contact manner for interaction with the digital devices. Hence, in this paper, we have presented a novel solution for digital interaction through a contactless manner. Such a system can provide human gesture recognition and therefore it can be integrated into others to achieve contactless control. We have implemented a prototype based on cost efficient sensors to validate the idea's feasibility. A sequence of real world experiments has also been conducted to evaluate its performance. This system is composed with 1) piece of hardware-a grid of ultrasound sensors to capture the distance information from a human body; 2) a piece of software to analyse the data for gesture predictions. The analysis results then will be transformed into control commands to interact with the attached system. The experimental results have shown that the proposed system is capable of providing a contactless Human Computer Interaction (HCI), and also has a great opportunity to replace existing touching interaction manner with a remote control scheme.

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Contactless fever measurement based on thermal imagery analysis

Cited by 8 publications

References 21 publications

Wireless Technologies for Social Distancing in the Time of COVID-19: Literature Review, Open Issues, and Limitations

Wireless Technologies for Social Distancing in the Time of COVID-19: Literature Review, Open Issues, and Limitations

Processing of Body-Induced Thermal Signatures for Physical Distancing and Temperature Screening

Internet of Things Assisted Monitoring Using Ultrasound-Based Gesture Recognition Contactless System

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