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Overcoming challenges in video-based health monitoring: real-world implementation, ethics, and data considerations

2025-02-22Research article Open access
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dc.contributor.authorFerreira, Simão
dc.contributor.authorMarinheiro, Catarina
dc.contributor.authorMateus, Catarina
dc.contributor.authorRodrigues, Pedro Pereira
dc.contributor.authorRodrigues, Matilde A.
dc.contributor.authorRocha, Nuno
dc.contributor.authorFerreira, Simão
dc.contributor.authorMateus, Catarina
dc.contributor.authorRodrigues, Matilde
dc.contributor.authorRocha, Nuno
dc.date.accessioned2025-09-23T10:05:29Z
dc.date.available2025-09-23T10:05:29Z
dc.date.issued2025-02-22
dc.description.abstractIn the context of evolving healthcare technologies, this study investigates the application of AI and machine learning in video-based health monitoring systems, focusing on the challenges and potential of implementing such systems in real-world scenarios, specifically for knowledge workers. The research underscores the criticality of addressing technological, ethical, and practical hurdles in deploying these systems outside controlled laboratory environments. Methodologically, the study spanned three months and employed advanced facial recognition technology embedded in participants’ computing devices to collect physiological metrics such as heart rate, blinking frequency, and emotional states, thereby contributing to a stress detection dataset. This approach ensured data privacy and aligns with ethical standards. The results reveal significant challenges in data collection and processing, including biases in video datasets, the need for high-resolution videos, and the complexities of maintaining data quality and consistency, with 42% (after adjustments) of data lost. In conclusion, this research emphasizes the necessity for rigorous, ethical, and technologically adapted methodologies to fully realize the benefits of these systems in diverse healthcare contexts.por
dc.description.sponsorship2020—POCI-01-0247-FEDER-046168| Lisboa-01-0247-FEDER-046168
dc.identifier.citationFerreira, S., Marinheiro, C., Mateus, C., Rodrigues, P. P., Rodrigues, M. A., & Rocha, N. (2025). Overcoming Challenges in Video-Based Health Monitoring: Real-World Implementation, Ethics, and Data Considerations. Sensors, 25(5), 1357. https://doi.org/10.3390/s25051357
dc.identifier.doi10.3390/s25051357
dc.identifier.eissn1424-8220
dc.identifier.urihttp://hdl.handle.net/10400.22/30499
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI
dc.relation2023.02141.BD
dc.relation.hasversionhttps://www.mdpi.com/1424-8220/25/5/1357
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectMonitoring
dc.subjectPhysiological
dc.subjectArtificial intelligence
dc.subjectIndustry
dc.subjectHealthcare
dc.subjectVideo assisted techniques
dc.subjectHeart rate monitoring
dc.subjectRecommendations
dc.subjectHealth planning
dc.subjectReal-time systems
dc.titleOvercoming challenges in video-based health monitoring: real-world implementation, ethics, and data considerationspor
dc.typeresearch article
dspace.entity.typePublication
oaire.citation.endPage16
oaire.citation.issue5
oaire.citation.startPage2
oaire.citation.titleSensors
oaire.citation.volume25
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameFerreira
person.familyNameMateus
person.familyNameRodrigues
person.familyNameRocha
person.givenNameSimão
person.givenNameCatarina
person.givenNameMatilde
person.givenNameNuno
person.identifier2680796
person.identifier192266
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person.identifier.ciencia-idAE16-A494-5F8B
person.identifier.orcid0000-0001-8233-2217
person.identifier.orcid0000-0003-4472-5049
person.identifier.orcid0000-0001-6175-6934
person.identifier.orcid0000-0002-3139-2786
person.identifier.ridN-7022-2015
person.identifier.ridM-9821-2013
person.identifier.scopus-author-id57359736400
person.identifier.scopus-author-id55485977900
person.identifier.scopus-author-id32867975300
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relation.isAuthorOfPublication.latestForDiscovery0bd5b0fc-6849-4f36-b751-87e7f4c81eff

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