Publication:

Comparison of machine learning and deep learning-based methods for locomotion mode recognition using a single inertial measurement unit

Date

2022
Journal article
https://doi.org/10.3389/fnbot.2022.923164
Simple item page Full metadata Statistics
 
dc.contributor.authorVu, Huong
dc.contributor.authorCao, Hoang-Long
dc.contributor.authorDong, Dianbiao
dc.contributor.authorVerstraten, Tom
dc.contributor.authorGeeroms, Joost
dc.contributor.authorVanderborght, Bram
dc.contributor.imecauthorVu, Huong
dc.contributor.imecauthorVanderborght, Bram
dc.contributor.orcidimecVanderborght, Bram::0000-0003-4881-9341
dc.contributor.orcidimecVu, Huong::0000-0001-8512-2784
dc.date.accessioned2023-02-06T10:20:36Z
dc.date.available2023-01-01T03:09:37Z
dc.date.available2023-02-06T10:20:36Z
dc.date.embargo2022-11-29
dc.date.issued2022
dc.description.wosFundingTextThis project was partly supported by the Innoviris' Talaris project, the AI Flanders program, and Vietnamese Government for university and college lecturers on doctoral training during 2010-2020.
dc.identifier.doi10.3389/fnbot.2022.923164
dc.identifier.issn1662-5218
dc.identifier.pmidMEDLINE:36524219
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40928
dc.publisherFRONTIERS MEDIA SA
dc.source.beginpage923164
dc.source.endpagena
dc.source.issuena
dc.source.journalFRONTIERS IN NEUROROBOTICS
dc.source.numberofpages15
dc.source.volume16
dc.subject.keywordsINTENT RECOGNITION
dc.subject.keywordsGAIT
dc.subject.keywordsWALKING
dc.subject.keywordsSYSTEM
dc.subject.keywordsDESIGN
dc.subject.keywordsLEG
dc.subject.keywordsVALIDATION
dc.subject.keywordsPREDICTION
dc.subject.keywordsSTRATEGY
dc.subject.keywordsANKLE
dc.title

Comparison of machine learning and deep learning-based methods for locomotion mode recognition using a single inertial measurement unit

dc.typeJournal article
dspace.entity.typePublication
Files

Original bundle

Name:
fnbot-16-923164.pdf
Size:
2.09 MB
Format:
Adobe Portable Document Format
Description:
Published version
Download
Publication available in collections:
Articles