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Stress inference in a virtual reality game for rehabilitation with body motion and heart rate

2024Conference paper Restricted access
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg03:Saúde de Qualidade
dc.contributor.authorLopes, Júlio Castro
dc.contributor.authorVan-Deste, Isaac
dc.contributor.authorVieira, João
dc.contributor.authorLopes, Rui Pedro
dc.date.accessioned2025-07-04T11:03:14Z
dc.date.available2025-07-04T11:03:14Z
dc.date.issued2024
dc.description.abstractThis paper proposes an architecture for detecting stress in a player, while playing a Virtual Reality (VR) game, by analyzing the player’s movements as well as the player’s Heart Rate (HR). For this effect, only a camera to analyze players’ Body Motion Rate (BMR) and a smartwatch to capture the HR, were used. As part of the computation of the BMR, computer vision techniques were used to detect the player’s skeleton, computing the difference between frames. A dataset was captured in this paper, while the players tested 5 different scenarios to induce different stress situations. The proposed dataset serves as a proof of concept to validate the relation between HR and BMR. Future work should investigate synthetic data generation techniques to improve dataset diversity and adaptability for Dynamic Difficulty Adjustment (DDA) systems. This research contributes to advancing stress detection in VR, with potential applications in rehabilitation, particularly for conditions such as schizophrenia, promoting improved well-being and stress management in the long run.eng
dc.description.sponsorshipThis work was supported by national funds through FCT/MCTES (PIDDAC): CeDRI, UIDB/05757/2020 (DOI:10.54499/UIDB/05757/2020) and UIDP/05757/2020 (DOI: 10.54499/UIDP/05757/2020); and SusTEC, LA/P/0007/2020 (DOI: 10.54499/LA/P/0007/2020).
dc.identifier.citationLopes, Júlio Castro; Van-Deste, Isaac; Vieira, João; Lopes, Rui Pedro. (2025). Stress inference in a virtual reality game for rehabilitation with body motion and heart rate. In the 3rd IEEE International Conference on Intelligent Reality, ICIR 2024. p, 1-8
dc.identifier.doi10.1109/icir64558.2024.10976783
dc.identifier.isbn979-833153442-4
dc.identifier.urihttp://hdl.handle.net/10198/34643
dc.language.isoeng
dc.peerreviewedyes
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
dc.relation.ispartof2024 IEEE 3rd International Conference on Intelligent Reality (ICIR)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectBody Motion
dc.subjectComputer Vision
dc.subjectDynamic Diffi- culty Adjustment
dc.subjectHeart Rate
dc.subjectStress
dc.subjectVirtual Reality
dc.titleStress inference in a virtual reality game for rehabilitation with body motion and heart rateeng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.citation.conferenceDate2025
oaire.citation.endPage8
oaire.citation.startPage1
oaire.citation.title3rd IEEE International Conference on Intelligent Reality, ICIR 2024
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameLopes
person.familyNameVan-Deste
person.familyNameLopes
person.givenNameJúlio Castro
person.givenNameIsaac
person.givenNameRui Pedro
person.identifier.ciencia-idCC12-FD7E-D0BC
person.identifier.ciencia-id871B-13B1-BE1E
person.identifier.ciencia-id8E14-54E4-4DB5
person.identifier.orcid0000-0003-0651-8567
person.identifier.orcid0000-0002-9170-5078
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
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