Evidence map›Paper›PMID 39275390›Full record

ArticleSensors (Basel, Switzerland)2024

IoT-Based Assessment of a Driver's Stress Level.

Veronica Mattioli, Luca Davoli, Laura Belli, Sara Gambetta, Luca Carnevali, Andrea Sgoifo, Riccardo Raheli, Gianluigi Ferrari

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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

8 authors.

Veronica MattioliMultimedia Laboratory, Department of Engineering and Architecture, University of Parma, 43124 Parma, Italy.ORCID 0000-0003-1059-6912
Luca DavoliInternet of Things (IoT) Laboratory, Department of Engineering and Architecture, University of Parma, 43124 Parma, Italy.ORCID 0000-0002-4396-8885
Laura BelliInternet of Things (IoT) Laboratory, Department of Engineering and Architecture, University of Parma, 43124 Parma, Italy.ORCID 0000-0001-5408-2265
Sara GambettaStress Physiology Laboratory, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124 Parma, Italy.
Luca CarnevaliStress Physiology Laboratory, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124 Parma, Italy.ORCID 0000-0001-9053-7976
Andrea SgoifoStress Physiology Laboratory, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124 Parma, Italy.ORCID 0000-0002-9428-6198
Riccardo RaheliMultimedia Laboratory, Department of Engineering and Architecture, University of Parma, 43124 Parma, Italy.ORCID 0000-0002-2197-5734
Gianluigi FerrariInternet of Things (IoT) Laboratory, Department of Engineering and Architecture, University of Parma, 43124 Parma, Italy.ORCID 0000-0001-6688-0934

Funding

Electronic Components and Systems for European Leadership 876487
6 · The paper itself

Abstract

Driver Monitoring Systems (DMSs) play a key role in preventing hazardous events (e.g., road accidents) by providing prompt assistance when anomalies are detected while driving. Different factors, such as traffic and road conditions, might alter the psycho-physiological status of a driver by increasing stress and workload levels. This motivates the development of advanced monitoring architectures taking into account psycho-physiological aspects. In this work, we propose a novel

Indexed as

AlgorithmsAutomobile DrivingHeart RateInternet of ThingsAccidents, TrafficAdultHumansMaleSkin TemperatureStress, PsychologicalWearable Electronic DevicesarousalDriver Monitoring SystemInternet of ThingsIoTthermal camerawearable

Identifiers

PMID39275390
PMCPMC11398248

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.