Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/43966
DC FieldValueLanguage
dc.contributor.authorTaborri, Jurien
dc.contributor.authorPalermo, E.en
dc.contributor.authorRossi, Stefanoen
dc.date.accessioned2021-11-02T17:28:25Z-
dc.date.available2021-11-02T17:28:25Z-
dc.date.issued2019en
dc.identifier.urihttp://hdl.handle.net/2067/43966-
dc.titleAutomatic detection of faults in race walking. A comparative analysis of machine-learning algorithms fed with inertial sensor dataen
dc.typearticleen
dc.identifier.doi10.3390/s19061461en
dc.relation.issn1424-8220en
dc.relation.journalSENSORSen
dc.relation.volume19en
dc.type.miur262en
local.miur.syncfalseen
item.fulltextNo Fulltext-
item.openairetypearticle-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.journal.journalissn0746-9462-
crisitem.journal.anceE153470-
Appears in Collections:A1. Articolo in rivista
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