Publication:

DS-MS-TCN: Otago Exercises Recognition With a Dual-Scale Multi-Stage Temporal Convolutional Network

Date

2024
Journal article
https://doi.org/10.1109/JBHI.2024.3455426
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dc.contributor.authorShang, Meng
dc.contributor.authorDedeyne, Lenore
dc.contributor.authorDupont, Jolan
dc.contributor.authorVercauteren, Laura
dc.contributor.authorAmini, Nadjia
dc.contributor.authorLapauw, Laurence
dc.contributor.authorGielen, Evelien
dc.contributor.authorVerschueren, Sabine
dc.contributor.authorVaron, Carolina
dc.contributor.authorDe Raedt, Walter
dc.contributor.authorVanrumste, Bart
dc.contributor.imecauthorShang, Meng
dc.contributor.imecauthorDe Raedt, Walter
dc.contributor.orcidimecShang, Meng::0000-0002-4085-9384
dc.contributor.orcidimecDe Raedt, Walter::0000-0002-7117-7976
dc.date.accessioned2025-02-06T11:36:41Z
dc.date.available2024-12-16T16:59:29Z
dc.date.available2025-02-06T11:36:41Z
dc.date.issued2024
dc.description.wosFundingTextThis work was supported in part by the China Scholarship Council (CSC) with the application number of 202007650007 and Province Flemish Brabant Smart Region Project: AI@WZC under Grant 3E230623, in part by ENHANce Project under Grant S60763, and in part by the Research Foundation Flanders (FWO) under Grant G099721N.
dc.identifier.doi10.1109/JBHI.2024.3455426
dc.identifier.issn2168-2194
dc.identifier.pmidMEDLINE:39240747
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/44975
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage7138
dc.source.endpage7150
dc.source.issue12
dc.source.journalIEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
dc.source.numberofpages13
dc.source.volume28
dc.subject.keywordsWEARABLE SENSOR
dc.title

DS-MS-TCN: Otago Exercises Recognition With a Dual-Scale Multi-Stage Temporal Convolutional Network

dc.typeJournal article
dspace.entity.typePublication
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