Evidence map›Paper›PMID 37765738›Full record

ArticleSensors (Basel, Switzerland)2023

Non-Contact Face Temperature Measurement by Thermopile-Based Data Fusion.

Faraz Bhatti, Grischan Engel, Joachim Hampel, Chaimae Khalil, Andreas Reber, Stefan Kray, Thomas Greiner

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Faraz BhattiDepartment of Engineering, Pforzheim University, 75175 Pforzheim, Germany.ORCID 0000-0002-4056-3647
Grischan EngelDepartment of Engineering, Pforzheim University, 75175 Pforzheim, Germany.
Joachim HampelDepartment of Engineering, Pforzheim University, 75175 Pforzheim, Germany.
Chaimae KhalilPyramid Computer GmbH, 79111 Freiburg, Germany.
Andreas ReberDepartment of Engineering, Pforzheim University, 75175 Pforzheim, Germany.
Stefan KrayDepartment of Engineering, Pforzheim University, 75175 Pforzheim, Germany.ORCID 0009-0003-8574-6206
Thomas GreinerDepartment of Engineering, Pforzheim University, 75175 Pforzheim, Germany.ORCID 0000-0001-6202-3345

Funding

Central Innovation Programme for small and medium-sized enterprises (ZIM) Federal Ministry for Economic Affairs and Climate Action KK5314702CR1
6 · The paper itself

Abstract

Thermal imaging cameras and infrared (IR) temperature measurement devices act as state-of-the-art techniques for non-contact temperature determination of the skin surface. The former is cost-intensive in many cases for widespread application, and the latter requires manual alignment to the measuring point. Due to this background, this paper proposes a new method for automated, non-contact, and area-specific temperature measurement of the facial skin surface. It is based on the combined use of a low-cost thermopile sensor matrix and a 2D image sensor. The temperature values as well as the 2D image data are fused using a parametric affine transformation. Based on face recognition, this allows temperature values to be assigned to selected facial regions and used specifically to determine the skin surface temperature. The advantages of the proposed method are described. It is demonstrated by means of a participant study that the temperature absolute values, which are achieved without manual alignment in an automated manner, are comparable to a commercially available IR-based forehead thermometer.

Indexed as

data fusionintelligent access control systemnon-contact temperature measurementthermopile sensor

Identifiers

PMID37765738
PMCPMC10537608

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.