Non-contact infrared assessment of human body temperature: The journal <i>Temperature</i> toolbox

Foster, Josh; Lloyd, Alexander; Havenith, George

doi:10.1080/23328940.2021.1899546

Cited by 26 publications

(15 citation statements)

References 66 publications

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“…During dynamic movement and exercise, as would be anticipated in an industrial setting, the agreement between contact and IRT measurements of T sk is poor [ 22 , 23 ]. Irrespective of the validity achieved by IRT, the type of device specifications stipulated by the ‘Journal Temperature Toolbox’ [ 24 ], may be too stringent and impractical for many workplaces.…”

Section: Discussionmentioning

confidence: 99%

Predicting Deep Body Temperature (Tb) from Forehead Skin Temperature: Tb or Not Tb?

Fisher

Ciuha

Tipton

et al. 2022

Sensors

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There is a need to rapidly screen individuals for heat strain and fever using skin temperature (Tsk) as an index of deep body temperature (Tb). This study’s aim was to assess whether Tsk could serve as an accurate and valid index of Tb during a simulated heatwave. Seven participants maintained a continuous schedule over 9-days, in 3-day parts; pre-/post-HW (25.4 °C), simulated-HW (35.4 °C). Contact thermistors measured Tsk (Tforehead, Tfinger); radio pills measured gastrointestinal temperature (Tgi). Proximal-distal temperature gradients (ΔTforehead–finger) were also measured. Measurements were grouped into ambient conditions: 22, 25, and 35 °C. Tgi and Tforehead only displayed a significant relationship in 22 °C (r: 0.591; p < 0.001) and 25 °C (r: 0.408; p < 0.001) conditions. A linear regression of all conditions identified Tforehead and ΔTforehead–finger as significant predictors of Tgi (r2: 0.588; F: 125.771; p < 0.001), producing a root mean square error of 0.26 °C. Additional residual analysis identified Tforehead to be responsible for a plateau in Tgi prediction above 37 °C. Contact Tforehead was shown to be a statistically suitable indicator of Tgi in non-HW conditions; however, an error of ~1 °C makes this physiologically redundant. The measurement of multiple sites may improve Tb prediction, though it is still physiologically unsuitable, especially at higher ambient temperatures.

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Section: Discussionmentioning

confidence: 99%

Predicting Deep Body Temperature (Tb) from Forehead Skin Temperature: Tb or Not Tb?

Fisher

Ciuha

Tipton

et al. 2022

Sensors

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“…Hand temperature was measured by infrared thermal imaging at the same three points in time. Following recommendations from the literature, a FLIR T620 camera was set up and calibrated using an Omega Black Point Blackbody Calibrator BB702 [28,29]. Using the FLIR tools program, the temperatures at the palm, proximal little finger, distal little finger, thump, proximal index finger and distal index finger of the right and left hand were extracted from the thermal images.…”

Section: Research Design and Analysismentioning

confidence: 99%

Influence of environmental temperature on the hand-feel perception of textiles

Claussen

Lim

Wilfling

et al. 2023

cdatp

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The present study investigated the effect of environmental temperature on the hand-feel perception of textiles. Participants were exposed to three different climate conditions (10 °C/20 °C/30 °C, RH 65 %) to simulate cool, mild, and warm environments. Hand-feel attributes, comfort, and preferences of a wide range of textiles were rated by the participants. Participants’ body responses to the different temperatures were controlled by monitoring participants’ aural temperature, mean skin temperature, hand temperature, tactile sensitivity, and environmental perception. Fabric weight was measured to monitor changes in textile properties induced by the different environmental conditions. The outcomes of the study suggest that the environmental temperature led to significant changes in participants’ aural temperature, mean skin temperature, hand temperature, tactile sensitivity, and environmental perception, affecting the hand-feel perception of the different textiles. Thus, the present study provides insight for practitioners to develop more comfortable textiles for specific environmental temperatures by establishing a basis for understanding how environmental temperature, body responses, and hand feel perception interact.

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“…The clinical accuracy and calibration of human IRT measurement was studied in [ 30 , 31 ] and research about requirements for IRT devices for medical applications was presented in [ 9 ] or in review paper [ 1 ]. Specific requirement and guides for human IRT measurement was defined in the standard [ 10 ] or in the most pertinent factors review [ 32 ]. Laboratory studies on the different effects on human IRT temperature measurement have been also already published (for example, the study related to angles and distance of the measurement [ 14 ] or the review study about different factors influencing the use of infrared thermography in humans [ 15 ]).…”

Section: Overview and State Of The Artmentioning

confidence: 99%

Statistical Study on Human Temperature Measurement by Infrared Thermography

Švantner

Lang

Skála

et al. 2022

Sensors

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Increased temperature in humans is the symptom of many infectious diseases and it is thus an important diagnostic tool. Infrared temperature measurement methods have been developed and applied over long periods due to their advantage of non-contact and fast measurements. This study deals with a statistical evaluation of the possibilities and limitations of infrared/thermographic human temperature measurement. A short review of the use of infrared temperature measurement in medical applications is provided. Experiments and statistics-based evaluation to confirm the expected accuracy and limits of thermography-based human temperature measurement are introduced. The results presented in this study show that the standard deviation of the thermographic measurement of the eyes maximum temperature was 0.4–0.9 °C and the mean values differences from the armpit measurement were up to 0.5 °C, based on the used IR camera, even though near ideal measurement conditions and permanent blackbody correction were used. It was also shown that a certain number of outliers must be assumed in such measurements. Extended analyses including simulations of true negative/false positive, sensitivity/specificity and receiver operating characteristics (ROC) curves are presented. The statistical evaluation as well as the extended analyses show that maximum eyes temperature is more relevant than a forehead temperature examination.

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Non-contact infrared assessment of human body temperature: The journal Temperature toolbox

Cited by 26 publications

References 66 publications

Predicting Deep Body Temperature (Tb) from Forehead Skin Temperature: Tb or Not Tb?

Predicting Deep Body Temperature (Tb) from Forehead Skin Temperature: Tb or Not Tb?

Influence of environmental temperature on the hand-feel perception of textiles

Statistical Study on Human Temperature Measurement by Infrared Thermography

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