Citation link: http://dx.doi.org/10.25819/ubsi/10186
DC FieldValueLanguage
crisitem.author.orcid0000-0002-4431-2378-
crisitem.author.orcid0000-0001-5296-5347-
dc.contributor.authorWolling, Florian-
dc.contributor.authorVan Laerhoven, Kristof-
dc.date.accessioned2022-09-30T14:54:03Z-
dc.date.available2022-09-30T14:54:03Z-
dc.date.issued2022de
dc.descriptionFinanziert aus dem Open-Access-Publikationsfonds der Universität Siegen für Zeitschriftenartikelde
dc.description.abstractWith a smaller form factor and a larger set of applications, body-worn devices have evolved into a collection of simultaneously deployed hardware units, rather than into a single all-round wearable. The sensor data, logged by such devices across the user's body, contains a wealth of information but is often difficult to synchronize. Especially the application of machine learning techniques, e.g., for activity recognition, suffers from the inaccuracy of the devices' internal clocks. In recent years, intra-body communication emerged as a promising alternative to the traditional wired and wireless communication techniques. Distributed wearable systems will notably benefit from its advantages, such as a superior energy efficiency. However, due to the absence of commercially available platforms, applications using this innovative technique remain rare and underinvestigated. With IBSync, we present a novel concept in which artificial landmark signals are received by body-worn devices on touching, approaching, or passing certain areas, surfaces, or objects with embedded transmitter beacons. The landmark signals enable both the wearables' intentional or incidental synchronization as well as the implicit contextualization using supplementary information about the beacons' situational context. For the detection of the landmarks, we propose to repurpose the on-board ECG sensor front-end available in recent commercial wearable devices. Evaluated on a total of 215 min of recordings from two devices, we demonstrate the concept's feasibility and a promising synchronization error of 0.80±1.79 samples or 6.25±14.00 ms at a device's sampling rate of 128 Hz.de
dc.identifier.doihttp://dx.doi.org/10.25819/ubsi/10186-
dc.identifier.urihttps://dspace.ub.uni-siegen.de/handle/ubsi/2275-
dc.identifier.urnurn:nbn:de:hbz:467-22758-
dc.language.isoende
dc.sourceFrontiers in Computer Science ; 4, 915448. - DOI: https://doi.org/10.3389/fcomp.2022.915448de
dc.subject.ddc004 Informatikde
dc.subject.otherIntra-body communication (IBC)en
dc.subject.otherSynchronizationen
dc.subject.otherContext awarenessen
dc.subject.otherElectrocardiography (ECG)en
dc.subject.otherWearable devicesde
dc.subject.swbZellkommunikationde
dc.subject.swbSynchronisierungde
dc.subject.swbElektrokardiografiede
dc.titleIBSync: Intra-body synchronization and implicit contextualization of wearable devices using artificial ECG landmarksen
dc.typeArticlede
item.fulltextWith Fulltext-
ubsi.publication.affiliationDepartment Elektrotechnik - Informatikde
ubsi.source.doi10.3389/fcomp.2022.915448-
ubsi.source.issued2022de
ubsi.source.issuenumber4de
ubsi.source.pages19de
ubsi.source.placeLausannede
ubsi.source.publisherFrontiers Mediade
ubsi.source.titleFrontiers in Computer Sciencede
ubsi.subject.ghbsTWKde
ubsi.subject.ghbsTZIde
Appears in Collections:Publikationen aus der Universität Siegen
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