Evidence map›Paper›PMID 33138092›Full record

ArticleSensors (Basel, Switzerland)2020

A Body Tracking-Based Low-Cost Solution for Monitoring Workers' Hygiene Best Practices during Pandemics.

Vito M Manghisi, Michele Fiorentino, Antonio Boccaccio, Michele Gattullo, Giuseppe L Cascella, Nicola Toschi, Antonio Pietroiusti, Antonio E Uva

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. A dynamic spatiotemporal model for fall warning and protection.Medical & biological engineering & computing · 2024
    Article
  3. FaceGuard: A Wearable System To Avoid Face Touching.Frontiers in robotics and AI · 2021
    Article
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.

Vito M ManghisiDepartment of Mechanics, Mathematics, and Management, Polytechnic University of Bari, via Oraboba 4, 70125 Bari, Italy.ORCID 0000-0002-5293-9955
Michele FiorentinoDepartment of Mechanics, Mathematics, and Management, Polytechnic University of Bari, via Oraboba 4, 70125 Bari, Italy.ORCID 0000-0003-2197-6574
Antonio BoccaccioDepartment of Mechanics, Mathematics, and Management, Polytechnic University of Bari, via Oraboba 4, 70125 Bari, Italy.ORCID 0000-0002-9623-7189
Michele GattulloDepartment of Mechanics, Mathematics, and Management, Polytechnic University of Bari, via Oraboba 4, 70125 Bari, Italy.ORCID 0000-0003-4487-0457
Giuseppe L CascellaDepartment of Electrical Engineering and Information Technology, Polytechnic University of Bari, via Oraboba 4, 70125 Bari, Italy.ORCID 0000-0003-1471-9799
Nicola ToschiDepartment of Biomedicine and Prevention, University of Rome 'Tor Vergata' Facoltà di Medicina e Chirurgia Viale Montpellier, 1, 00133 Rome, Italy.ORCID 0000-0003-1929-5833
Antonio PietroiustiDepartment of Biomedicine and Prevention, University of Rome 'Tor Vergata' Facoltà di Medicina e Chirurgia Viale Montpellier, 1, 00133 Rome, Italy.
Antonio E UvaDepartment of Mechanics, Mathematics, and Management, Polytechnic University of Bari, via Oraboba 4, 70125 Bari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since its beginning at the end of 2019, the pandemic spread of the severe acute respiratory syndrome coronavirus 2 (Sars-CoV-2) caused more than one million deaths in only nine months. The threat of emerging and re-emerging infectious diseases exists as an imminent threat to human health. It is essential to implement adequate hygiene best practices to break the contagion chain and enhance society preparedness for such critical scenarios and understand the relevance of each disease transmission route. As the unconscious hand-face contact gesture constitutes a potential pathway of contagion, in this paper, the authors present a prototype system based on low-cost depth sensors able to monitor in real-time the attitude towards such a habit. The system records people's behavior to enhance their awareness by providing real-time warnings, providing for statistical reports for designing proper hygiene solutions, and better understanding the role of such route of contagion. A preliminary validation study measured an overall accuracy of 91%. A Cohen's Kappa equal to 0.876 supports rejecting the hypothesis that such accuracy is accidental. Low-cost body tracking technologies can effectively support monitoring compliance with hygiene best practices and training people in real-time. By collecting data and analyzing them with respect to people categories and contagion statistics, it could be possible to understand the importance of this contagion pathway and identify for which people category such a behavioral attitude constitutes a significant risk.

Indexed as

Health PersonnelWearable Electronic DevicesAlgorithmsBetacoronavirusCoronavirus InfectionsCOVID-19DisinfectionHumansImage Processing, Computer-AssistedOccupational HealthPandemicsPersonal Protective EquipmentPneumonia, ViralSARS-CoV-2azure kinectbody trackinghygiene best practicesoccupational safetypandemics containmentsafety training

Identifiers

PMID33138092
PMCPMC7663493

What OpenQuestion holds

Textmetadata
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.