{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T17:19:25Z","timestamp":1774718365357,"version":"3.50.1"},"reference-count":51,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2023,3,4]],"date-time":"2023-03-04T00:00:00Z","timestamp":1677888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"ITEA3 and Compete 2020\u2014POCI-01-0247-FEDER-046168|Lisboa-01-0247-FEDER-046168"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>With the increase in the number of people using digital devices, complaints about eye and vision problems have been increasing, making the problem of computer vision syndrome (CVS) more serious. Accompanying the increase in CVS in occupational settings, new and unobstructive solutions to assess the risk of this syndrome are of paramount importance. This study aims, through an exploratory approach, to determine if blinking data, collected using a computer webcam, can be used as a reliable indicator for predicting CVS on a real-time basis, considering real-life settings. A total of 13 students participated in the data collection. A software that collected and recorded users\u2019 physiological data through the computer\u2019s camera was installed on the participants\u2019 computers. The CVS-Q was applied to determine the subjects with CVS and its severity. The results showed a decrease in the blinking rate to about 9 to 17 per minute, and for each additional blink the CVS score lowered by 1.26. These data suggest that the decrease in blinking rate was directly associated with CVS. These results are important for allowing the development of a CVS real-time detection algorithm and a related recommendation system that provides interventions to promote health, well-being, and improved performance.<\/jats:p>","DOI":"10.3390\/ijerph20054569","type":"journal-article","created":{"date-parts":[[2023,3,6]],"date-time":"2023-03-06T03:22:05Z","timestamp":1678072925000},"page":"4569","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Real-Time Blink Detection as an Indicator of Computer Vision Syndrome in Real-Life Settings: An Exploratory Study"],"prefix":"10.3390","volume":"20","author":[{"given":"In\u00eas","family":"Lapa","sequence":"first","affiliation":[{"name":"Center for Translational Health and Medical Biotechnology Research, School of Health of Polytechnic Institute of Porto, 4200-465 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8233-2217","authenticated-orcid":false,"given":"Sim\u00e3o","family":"Ferreira","sequence":"additional","affiliation":[{"name":"Center for Translational Health and Medical Biotechnology Research, School of Health of Polytechnic Institute of Porto, 4200-465 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4472-5049","authenticated-orcid":false,"given":"Catarina","family":"Mateus","sequence":"additional","affiliation":[{"name":"Center for Translational Health and Medical Biotechnology Research, School of Health of Polytechnic Institute of Porto, 4200-465 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3139-2786","authenticated-orcid":false,"given":"Nuno","family":"Rocha","sequence":"additional","affiliation":[{"name":"Center for Translational Health and Medical Biotechnology Research, School of Health of Polytechnic Institute of Porto, 4200-465 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6175-6934","authenticated-orcid":false,"given":"Matilde","family":"Rodrigues","sequence":"additional","affiliation":[{"name":"Center for Translational Health and Medical Biotechnology Research, School of Health of Polytechnic Institute of Porto, 4200-465 Porto, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"33","DOI":"10.3329\/fmcj.v10i1.27923","article-title":"Review Article: Computer Vision Syndrome","volume":"10","author":"Arif","year":"2016","journal-title":"Faridpur Med. 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