New trends in machine learning techniques for  human activity recognition using multimodal  sensors

dc.contributor.author	González Lama, Jesús
dc.contributor.author	Montoro Lendínez, Alicia
dc.contributor.author	Espinilla Estévez, Macarena
dc.contributor.author	Valera, Juan Carlos
dc.contributor.author	Gil, David
dc.contributor.author	Peral, Jesús
dc.contributor.author	Johnsson, Magnus
dc.date.accessioned	2024-04-17T07:02:47Z
dc.date.available	2024-04-17T07:02:47Z
dc.date.issued	2023-11-30
dc.identifier.uri	https://link.springer.com/chapter/10.1007/978-3-031-48306-6_9	es_ES
dc.identifier.uri	https://hdl.handle.net/10953/2649
dc.language.iso	eng	es_ES
dc.publisher	Springer	es_ES
dc.relation.ispartof	15th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2023);Riviera Maya, México	es_ES
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es_ES
dc.subject	Machine Learning · HAR · multimodal sensors · smart environment	es_ES
dc.title	New trends in machine learning techniques for human activity recognition using multimodal sensors	es_ES
dc.type	info:eu-repo/semantics/conferenceObject	es_ES
dc.type.version	info:eu-repo/semantics/acceptedVersion	es_ES