Energy efficient wearable sensor node for IoT-based fall detection systems

dc.contributor.authorTuan Nguyen Gia
dc.contributor.authorVictor Kathan Sarker
dc.contributor.authorIgor Tcarenko
dc.contributor.authorAmir M. Rahmani
dc.contributor.authorTomi Westerlund
dc.contributor.authorPasi Liljeberg
dc.contributor.authorHannu Tenhunen
dc.contributor.organizationfi=sulautettu elektroniikka|en=Embedded Electronics|
dc.contributor.organization-code1.2.246.10.2458963.20.20754768032
dc.contributor.organization-code2606802
dc.converis.publication-id27817669
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/27817669
dc.date.accessioned2022-10-28T14:28:46Z
dc.date.available2022-10-28T14:28:46Z
dc.format.pagerange34
dc.format.pagerange46
dc.identifier.jour-issn0141-9331
dc.identifier.olddbid188509
dc.identifier.oldhandle10024/171603
dc.identifier.urihttps://www.utupub.fi/handle/11111/52755
dc.identifier.urnURN:NBN:fi-fe2021042717674
dc.language.isoen
dc.okm.affiliatedauthorNguyen, Tuan
dc.okm.affiliatedauthorSarker, Victor
dc.okm.affiliatedauthorTcarenko, Igor
dc.okm.affiliatedauthorWesterlund, Tomi
dc.okm.affiliatedauthorLiljeberg, Pasi
dc.okm.affiliatedauthorTenhunen, Hannu
dc.okm.discipline113 Computer and information sciencesen_GB
dc.okm.discipline213 Electronic, automation and communications engineering, electronicsen_GB
dc.okm.discipline113 Tietojenkäsittely ja informaatiotieteetfi_FI
dc.okm.discipline213 Sähkö-, automaatio- ja tietoliikennetekniikka, elektroniikkafi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherElsevier B.V.
dc.publisher.countryNetherlandsen_GB
dc.publisher.countryAlankomaatfi_FI
dc.publisher.country-codeNL
dc.relation.doi10.1016/j.micpro.2017.10.014
dc.relation.ispartofjournalMicroprocessors and Microsystems
dc.relation.volume56
dc.source.identifierhttps://www.utupub.fi/handle/10024/171603
dc.titleEnergy efficient wearable sensor node for IoT-based fall detection systems
dc.year.issued2018

Tiedostot

Näytetään 1 - 1 / 1
Ladataan...
Name:
micpro_fall_detection_system.pdf
Size:
2.42 MB
Format:
Adobe Portable Document Format
Description:
Final draft