Publicação
Wearable Inertial and Bio-signal Device for Real-time Swimmer's Monitoring
| datacite.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | |
| datacite.subject.sdg | 03:Saúde de Qualidade | |
| datacite.subject.sdg | 10:Reduzir as Desigualdades | |
| datacite.subject.sdg | 11:Cidades e Comunidades Sustentáveis | |
| dc.contributor.author | Santos, Miguel O. | |
| dc.contributor.author | Costa, Joana | |
| dc.contributor.author | Fernandes, Telmo R. | |
| dc.contributor.author | Silva, Catarina | |
| dc.contributor.author | Faria, Sergio M. M. | |
| dc.date.accessioned | 2026-03-27T13:16:32Z | |
| dc.date.available | 2026-03-27T13:16:32Z | |
| dc.date.issued | 2021-02 | |
| dc.description | EISBN - 978-1-6654-1588-0 | |
| dc.description | Date of Conference: 11-12 February 2021 | |
| dc.description | Santos, Miguel O. - Scopus ID: 57213610002 | |
| dc.description.abstract | There is a growing interest on wearable devices to monitor health during sport activities. These devices may be used only for monitoring purposes or allow coaches to evaluate the athlete's biological signals and physical performance. In many sports, the acquired data is available for the user, but also can be monitored in real time by the technical staff, by using some type of communication. Nevertheless, in sports like swimming commonly the acquired data is stored in the portable device and analyzed only after the training session, due to the transmission issues related to the harsh environment of the pool. In this paper we propose a novel system that allows the technical staff to monitor and analyze the swimmer's inertial (AHRS) and bio-signals (heart rate and pulse oximetry) in real time. To this aim, two radiofrequency communications systems were used, one at 5.3kHz for the heart rate sensor and another at 433MHz to communicate with the base station outside the swimming pool. This communication has been tested successfully for all swimming styles, turns and at various deep levels in the underwater phase. Additionally, a computational application shows, in real time, the sensors information, as well as few additional information processed using machine learning algorithms, like swimming style, turns, average speed and stroke counting. Unlike the common systems, the proposed device effectively yields immediate feedback to the swimmers based on the real time data analysis, which can be given by the coach or automatically by a haptic actuator in the wearable device. | eng |
| dc.description.sponsorship | This work was partially supported by the FCT/MCTES through national funds and when applicable co-funded by EU funds under the project UIDB/EEA/50008/2020, and DigiWest - Wireless and Embedded Solutions, Lda, Leiria, Portugal (SIFIDE-DPS). ACKNOWLEDGMENTS We would like to thank the ADCR Bairro dos Anjos, Leiria, Portugal, namely João Fróis (Tec. Director) and the swimming team for the inputs and tests performed during this work. | |
| dc.identifier.citation | M. O. Santos, J. Costa, T. R. Fernandes, C. Silva and S. M. M. Faria, "Wearable Inertial and Bio-signal Device for Real-time Swimmer's Monitoring," 2021 Telecoms Conference (ConfTELE), Leiria, Portugal, 2021, pp. 1-6, doi: https://doi.org/10.1109/ConfTELE50222.2021.9435472. | |
| dc.identifier.doi | 10.1109/conftele50222.2021.9435472 | |
| dc.identifier.isbn | 978-1-6654-4680-8 | |
| dc.identifier.isbn | 978-1-6654-1588-0 | |
| dc.identifier.uri | http://hdl.handle.net/10400.8/16032 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | IEEE Canada | |
| dc.relation.hasversion | https://ieeexplore.ieee.org/document/9435472 | |
| dc.relation.ispartof | 2021 Telecoms Conference (ConfTELE) | |
| dc.rights.uri | N/A | |
| dc.subject | Wearable device | |
| dc.subject | Inertial monitoring | |
| dc.subject | Swimming application | |
| dc.title | Wearable Inertial and Bio-signal Device for Real-time Swimmer's Monitoring | eng |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.citation.conferenceDate | 2021-02 | |
| oaire.citation.conferencePlace | Leiria, Portugal | |
| oaire.citation.title | 2021 Telecoms Conference, ConfTELE 2021 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Costa | |
| person.familyName | Fernandes | |
| person.familyName | Faria | |
| person.givenName | Joana | |
| person.givenName | Telmo | |
| person.givenName | Sergio | |
| person.identifier.ciencia-id | 391F-E0B5-14B5 | |
| person.identifier.ciencia-id | 8815-4101-28DD | |
| person.identifier.orcid | 0000-0002-4053-5718 | |
| person.identifier.orcid | 0000-0003-0882-7478 | |
| person.identifier.orcid | 0000-0002-0993-9124 | |
| person.identifier.rid | B-7909-2018 | |
| person.identifier.rid | C-5245-2011 | |
| person.identifier.scopus-author-id | 24779209500 | |
| person.identifier.scopus-author-id | 14027853900 | |
| relation.isAuthorOfPublication | 23d200dc-1a81-4bd9-9a4a-0efc28af6ce4 | |
| relation.isAuthorOfPublication | 5c77bf6a-79cb-4cfd-b316-b2ed1890bb29 | |
| relation.isAuthorOfPublication | f69bd4d6-a6ef-4d20-8148-575478909661 | |
| relation.isAuthorOfPublication.latestForDiscovery | 23d200dc-1a81-4bd9-9a4a-0efc28af6ce4 |
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- There is a growing interest on wearable devices to monitor health during sport activities. These devices may be used only for monitoring purposes or allow coaches to evaluate the athlete's biological signals and physical performance. In many sports, the acquired data is available for the user, but also can be monitored in real time by the technical staff, by using some type of communication. Nevertheless, in sports like swimming commonly the acquired data is stored in the portable device and analyzed only after the training session, due to the transmission issues related to the harsh environment of the pool. In this paper we propose a novel system that allows the technical staff to monitor and analyze the swimmer's inertial (AHRS) and bio-signals (heart rate and pulse oximetry) in real time. To this aim, two radiofrequency communications systems were used, one at 5.3kHz for the heart rate sensor and another at 433MHz to communicate with the base station outside the swimming pool. This communication has been tested successfully for all swimming styles, turns and at various deep levels in the underwater phase. Additionally, a computational application shows, in real time, the sensors information, as well as few additional information processed using machine learning algorithms, like swimming style, turns, average speed and stroke counting. Unlike the common systems, the proposed device effectively yields immediate feedback to the swimmers based on the real time data analysis, which can be given by the coach or automatically by a haptic actuator in the wearable device.
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