Publication:

A Seq-to-Seq Temporal Convolutional Network for Volleyball Jump Monitoring Using a Waist-Mounted IMU

Date

2025
Journal article
https://doi.org/10.1109/ACCESS.2025.3545560
Simple item page Full metadata Statistics
 
dc.contributor.authorShang, Meng
dc.contributor.authorde Bleecker, Camilla
dc.contributor.authorVanrenterghem, Jos
dc.contributor.authorde Ridder, Roel
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.accessioned2025-04-03T04:35:15Z
dc.date.available2025-04-03T04:35:15Z
dc.date.issued2025
dc.description.wosFundingTextThis work was supported in part by the Flemish Government (Flanders AI Research Program), and in part by China Scholarship Council (CSC).This work involved human subjects or animals in its research. Approval of all ethical and experimental procedures and protocols was granted by the Ethical Committee of the University Hospital in Ghent, Belgium, under Approval No. BC-07679.
dc.identifier.doi10.1109/ACCESS.2025.3545560
dc.identifier.issn2169-3536
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45490
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage42986
dc.source.endpage42996
dc.source.journalIEEE ACCESS
dc.source.numberofpages11
dc.source.volume13
dc.subject.keywordsHUMAN ACTIVITY RECOGNITION
dc.subject.keywordsFREQUENCY
dc.subject.keywordsRISK
dc.subject.keywordsCNN
dc.title

A Seq-to-Seq Temporal Convolutional Network for Volleyball Jump Monitoring Using a Waist-Mounted IMU

dc.typeJournal article
dspace.entity.typePublication
Files
Publication available in collections:
Articles