Publication
An architecture for capturing and synchronizing heart rate and body motion for stress inference
| dc.contributor.author | Lopes, Júlio Castro | |
| dc.contributor.author | Vieira, João | |
| dc.contributor.author | Van-Deste, Isaac | |
| dc.contributor.author | Lopes, Rui Pedro | |
| dc.date.accessioned | 2024-01-09T10:02:08Z | |
| dc.date.available | 2024-01-09T10:02:08Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | This paper aims to propose a system for capturing and synchronizing human heart rate (HR) and body motion (BMR) for stress inference. For this purpose, OpenPose skeletonbased method was used, which is capable of analyzing sequential videos, processing them frame by frame, and obtaining an approximation to the human figure composed of 18 key points, roughly corresponding to the joints. It is expected that by combining these two distinct measurements, HR and BMR, a more grounded evaluation of player stress levels while playing a Virtual Reality (VR) game, will be achieved. The experiment was conducted with 5 participants playing 5 different types of games, with different levels of intensity. During the game, the players wore a smartwatch to measure the HR and images were captured to calculate the BMR. Future work will assess this dataset to confirm the stress level in these 5 situations. | pt_PT |
| dc.description.sponsorship | This work is funded by the European Regional Development Fund (ERDF) through the Regional Operational Program North 2020, within the scope of Project GreenHealth - Digital strategies in biological assets to improve well-being and promote green health, Norte-01-0145-FEDER-000042. This work has been supported by FCT - Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020 and UIDP/05757/2020. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Lopes, Júlio Castro; Vieira, João; Van-Deste, Isaac; Lopes, Rui Pedro (2023). An architecture for capturing and synchronizing heart rate and body motion for stress inference. In 2023 IEEE 11th International Conference on Serious Games and Applications for Health (SeGAH). 28-30 August 2023, Athens. p. 1-7. ISBN 979-835034607-7 | pt_PT |
| dc.identifier.doi | 10.1109/SeGAH57547.2023.10253815 | pt_PT |
| dc.identifier.isbn | 979-835034607-7 | |
| dc.identifier.issn | 2573-3060 | |
| dc.identifier.uri | http://hdl.handle.net/10198/29140 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | IEEE | pt_PT |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Heart rate | pt_PT |
| dc.subject | Stress | pt_PT |
| dc.subject | Body motion | pt_PT |
| dc.subject | Machine learning | pt_PT |
| dc.title | An architecture for capturing and synchronizing heart rate and body motion for stress inference | pt_PT |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT | |
| oaire.citation.endPage | 7 | pt_PT |
| oaire.citation.startPage | 1 | pt_PT |
| oaire.citation.title | 11th International Conference on Serious Games and Applications for Health (SeGAH) | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Van-Deste | |
| person.familyName | Lopes | |
| person.givenName | Isaac | |
| person.givenName | Rui Pedro | |
| person.identifier.ciencia-id | 871B-13B1-BE1E | |
| person.identifier.ciencia-id | 8E14-54E4-4DB5 | |
| person.identifier.orcid | 0000-0003-0651-8567 | |
| person.identifier.orcid | 0000-0002-9170-5078 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | restrictedAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
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