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Biometric Data Capture as a Way to Identify Lack of Physical Activity in Daily Life

2021Conference object Restricted access
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dc.contributor.authorMarques, Luís
dc.contributor.authorLopes, Luca
dc.contributor.authorFerreira, Miguel
dc.contributor.authorHenriques, João
dc.contributor.authorPires, Ivan Miguel
dc.contributor.authorCaldeira, Filipe
dc.contributor.authorWanzeller, Cristina
dc.date.accessioned2023-07-04T10:24:06Z
dc.date.available2023-07-04T10:24:06Z
dc.date.issued2021
dc.date.updated2023-06-14T14:26:47Z
dc.description.abstractGiven the impact of the pandemic era, it is important the effects of physical activity on human beings, physically and mentally. The significant advance in the technology industry of biomedical sensors and mobile devices allowed the arrival of new health monitoring prototypes to improve people’s lives. This work implements a data capture system, using an electrocardiogram (ECG) and accelerometer (ACC) type sensor to collect a large volume of data for further analysis to obtain metrics to assess the activity level during this pandemic phase. Using a BITalino device that allows us to collect a large amount of information from various sensors, we, therefore, chose to use it as a platform to capture data from the sensors mentioned above. In the first phase, we will capture the largest possible amount of data from the subject in the test phase. Then, the collected data will be sent to a web server, where it will be processed. Finally, in a third phase, the data will be presented in a more summarized and graphical way. In this way, we will analyze the impact of movement/inactivity on the test subjects’ daily life with the referred sensors’ biometric data.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-030-91421-9_2pt_PT
dc.identifier.eid2-s2.0-85121872281
dc.identifier.issn1867-8211
dc.identifier.issn1867-822X
dc.identifier.slugcv-prod-2630042
dc.identifier.urihttp://hdl.handle.net/10400.19/7849
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer International Publishingpt_PT
dc.subjectBiometricpt_PT
dc.subjectData Capturpt_PT
dc.subjectECGpt_PT
dc.subjectaccelerometerpt_PT
dc.subjectBITalinopt_PT
dc.titleBiometric Data Capture as a Way to Identify Lack of Physical Activity in Daily Lifept_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage26pt_PT
oaire.citation.startPage18pt_PT
oaire.citation.titleGOODTECHS: International Conference on Smart Objects and Technologies for Social Goodpt_PT
person.familyNameMenoita Henriques
person.familyNameSerrano Pires
person.familyNameCaldeira
person.familyNameWanzeller Guedes de Lacerda
person.givenNameJoão Pedro
person.givenNameIvan Miguel
person.givenNameFilipe
person.givenNameAna Cristina
person.identifierhttps://scholar.google.pt/citations?user=AExQrJwAAAAJ
person.identifier-6iey0oAAAAJ
person.identifierlXPmBvYAAAAJ
person.identifier.ciencia-idBB15-BFE2-17AA
person.identifier.ciencia-id211D-8B3D-0131
person.identifier.ciencia-idCB11-8109-AB1D
person.identifier.ciencia-idE81F-11C0-E77C
person.identifier.orcid0000-0001-7380-9511
person.identifier.orcid0000-0002-3394-6762
person.identifier.orcid0000-0001-7558-2330
person.identifier.scopus-author-id56715367700
person.identifier.scopus-author-id36023210300
rcaap.cv.cienciaidCB11-8109-AB1D | Filipe Caldeira
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication9b3258cd-a3d1-46f9-bc04-2bdd99d87014
relation.isAuthorOfPublicationc026e08a-a9e5-48f8-a9fc-00c7482dc3c0
relation.isAuthorOfPublicatione845705e-5b0b-4f70-9c53-c472ffd768d1
relation.isAuthorOfPublicationb353121e-fa46-43fe-b4c0-5e9848084d17
relation.isAuthorOfPublication.latestForDiscoveryc026e08a-a9e5-48f8-a9fc-00c7482dc3c0

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