Publication:

Fusion of Unobtrusive Sensing Solutions for Home-Based Activity Recognition and Classification Using Data Mining Models and Methods

Date

2021
Journal article
https://doi.org/10.3390/app11199096
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dc.contributor.authorEkerete, Idongesit
dc.contributor.authorGarcia-Constantino, Matias
dc.contributor.authorKonios, Alexandros
dc.contributor.authorMustafa, Mustafa A.
dc.contributor.authorDiaz-Skeete, Yohanca
dc.contributor.authorNugent, Christopher
dc.contributor.authorMcLaughlin, James
dc.contributor.authormustafa
dc.contributor.orcidextEkerete, Idongesit::0000-0003-4072-7178
dc.contributor.orcidextNugent, Christopher::0000-0003-0882-7902
dc.date.accessioned2021-11-10T09:58:51Z
dc.date.available2021-11-02T15:55:45Z
dc.date.available2021-11-10T09:58:51Z
dc.date.issued2021
dc.identifier.doi10.3390/app11199096
dc.identifier.issn2076-3417
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/37465
dc.publisherMDPI
dc.source.issue19
dc.source.journalAPPLIED SCIENCES-BASEL
dc.source.numberofpages16
dc.source.volume11
dc.subject.keywordsACCELEROMETER
dc.subject.keywordsIMPLEMENTATION
dc.title

Fusion of Unobtrusive Sensing Solutions for Home-Based Activity Recognition and Classification Using Data Mining Models and Methods

dc.typeJournal article
dspace.entity.typePublication
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