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Study on the usage feasibility of continuous-wave radar for emotion recognition

2020-04Journal article Restricted access
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dc.contributor.authorGouveia, Carolina
dc.contributor.authorTome, Ana
dc.contributor.authorBarros, Filipa
dc.contributor.authorSoares, Sandra C.
dc.contributor.authorVieira, José
dc.contributor.authorPinho, Pedro
dc.date.accessioned2020-04-01T14:01:26Z
dc.date.available2020-04-01T14:01:26Z
dc.date.issued2020-04
dc.description.abstractNon-contact vital signs monitoring has a wide range of applications, such as in safe drive and in health care. In mental health care, the use of non-invasive signs holds a great potential, as it would likely enhance the patient's adherence to the use of objective measures to assess their emotional experiences, hence allowing for more individualized and efficient diagnoses and treatment. In order to evaluate the possibility of emotion recognition using a non-contact system for vital signs monitoring, we herein present a continuous wave radar based on the respiratory signal acquisition. An experimental set up was designed to acquire the respiratory signal while participants were watching videos that elicited different emotions (fear, happiness and a neutral condition). Signal was registered using a radar-based system and a standard certified equipment. The experiment was conducted to validate the system at two levels: the signal acquisition and the emotion recognition levels. Vital sign was analysed and the three emotions were identified using different classification algorithms. Furthermore, the classifier performance was compared, having in mind the signal acquired by both systems. Three different classification algorithms were used: the support-vector machine, K-nearest neighbour and the Random Forest. The achieved accuracy rates, for the three-emotion classification, were within 60% and 70%, which indicates that it is indeed possible to evaluate the emotional state of an individual using vital signs detected remotely.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGOUVEIA, Carolina; [et al] – Study on the usage feasibility of continuous-wave radar for emotion recognition. Biomedical Signal Processing and Control. ISSN 1746-8094. Vol. 58 (2020), pp. 1-10pt_PT
dc.identifier.doi10.1016/j.bspc.2019.101835pt_PT
dc.identifier.issn1746-8094
dc.identifier.urihttp://hdl.handle.net/10400.21/11393
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationUIDMEA/50008/2019 - FEDER - PT2020 partnership agreementpt_PT
dc.relationSFRH/BD/139847/2018 - FCTpt_PT
dc.relation.publisherversionhttps://pdf.sciencedirectassets.com/273545/1-s2.0-S1746809420X00024/1-s2.0-S1746809419304161/main.pdf?X-Amz-Date=20200401T134808Z&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Signature=25467ce5856b7174104dba79ba1e4170d72042363144421a5449a45998faa265&X-Amz-Credential=ASIAQ3PHCVTYZBVTU4EV%2F20200401%2Fus-east-1%2Fs3%2Faws4_request&type=client&tid=prr-b23b5063-9e61-4ad1-8904-3df1a26a79c1&sid=f433a81d1baa874a4e189983fec8723cc657gxrqb&pii=S1746809419304161&X-Amz-SignedHeaders=host&X-Amz-Security-Token=IQoJb3JpZ2luX2VjECUaCXVzLWVhc3QtMSJHMEUCIBiQWVukDqXo7ilmrrDQyq%2FvScaeTHSxUWYldnhtFwvpAiEA7CnzAZMwVy8eZEjzRgjOaDVq%2Bada7CytZnJrcZ3qOmUqtAMILhACGgwwNTkwMDM1NDY4NjUiDHIowwvJqG9zMCsqxyqRA4Z595BnNGZdLXC%2B82RIUokMhwnZ5waVQr%2Fd1sSOv5QAge7qoPbwVezinsl9odKSnW1NW9FvU4ui6OtMfzqCM9Cso3UEOi5wwKJBtVYCPiQ%2BggpCJBZm%2BveEjOr0vMIeouiUbHl6Ymh%2FWbnj4tuULfQfustxuiBCC1VQACeQwRiN5V4HeIeW3k7YIx7Q28jgvG1Lix3Rej5Qn5POIHdwyB48stcy8xibucREaz8DWaL2ZOlUQw63rhHtTow9epXJ9DDH3m1tgGHf706nXcleb2brpByNIrEdsXAKdmNwnUTzsdmeh8Ozjkwdcdm22iOs7TFw6czVvpiN0u%2FWY1o3sMJGumC%2Fgr8beNxoJFjL3p4BXk%2BOjuGt5lMy2vcqddWPvFVSdyYoMLFoL%2FzByCOqPcLaOoR0kI9tcMtmQn%2BP%2BI9OTlgAiVTt6sngE8SGBRvnsbD%2FtuO0JXoY4gdRDsiVB%2BIEIOxoxCAaRCGnvwNVWue8qDxHJqaIPg8kgfdnH4jfGBIjM9ZhyW1LXcRylB9dH0YGMJWfkvQFOusBPWDO6IINpRV6yYNCuZOh1UUaDprQEKLm5VCRR5RzXXGnDs8QmvEL1aeGV%2B2OQXFZeQpKioWPN8RnRTWyLQR%2FRZKlGd9Y5aud6%2Bl6fHTHksAJoXrjGy%2Brj5zsBOr18iChgA4wvXtHU56qyjphnhDwWetVSeXFK9XYdto1Jw4aa%2FqGC55cKbKi31zf4O%2FNltmkzEo97bpv%2FYwZWt5cgdTdyVT0nFo9Ncfbc3XUSA%2B0RRBj43AvfjODA%2FYXis93DhFiaWxZh9SkYV4gRdnm%2BhpuDpxMaIRAkVROL5IzS6AM%2F6WrnMfuF9t6mvxtwQ%3D%3D&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&X-Amz-Expires=300&hash=1ce2a3d61bdb1de619dc8a80bbe783e1fb8fab1d3bf08e1c3dc88f723dc4ca64pt_PT
dc.subjectContinuous wave radarpt_PT
dc.subjectEmotion recognitionpt_PT
dc.subjectPattern recognitionpt_PT
dc.subjectSupport-vector machinept_PT
dc.subjectK-nearest neighbourpt_PT
dc.subjectRandom Forestpt_PT
dc.titleStudy on the usage feasibility of continuous-wave radar for emotion recognitionpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage10pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleBiomedical Signal Processing and Controlpt_PT
oaire.citation.volume58pt_PT
person.familyNameGouveia
person.familyNamePerfeito Tome
person.familyNameBarros
person.familyNamePinho
person.givenNameCarolina
person.givenNameAna Maria
person.givenNameFilipa
person.givenNamePedro
person.identifier.ciencia-id7816-31A6-9E03
person.identifier.ciencia-id3515-EA0C-24B9
person.identifier.ciencia-idD11A-9085-2A62
person.identifier.ciencia-id4C17-7EC8-C889
person.identifier.orcid0000-0002-2077-2871
person.identifier.orcid0000-0002-1210-0266
person.identifier.orcid0000-0003-4195-7805
person.identifier.orcid0000-0001-5588-7794
person.identifier.ridD-4304-2009
person.identifier.scopus-author-id57205645626
person.identifier.scopus-author-id7006456423
person.identifier.scopus-author-id16031596400
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication30bb7119-0565-496f-8578-fc20cfaec032
relation.isAuthorOfPublication1a54b722-dc43-4748-b3e3-4790e2f4a536
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relation.isAuthorOfPublication.latestForDiscovery8347c340-8bc5-4fe8-8377-6bf016c2e2d2

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