Review of trends in automatic human activity recognition using synthetic audio-visual data

doi:10.1007/978-3-030-62365-4_53

Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/70410

Registo completo

Campo DC	Valor	Idioma
dc.contributor.author	Jesus, Tiago Rafael Andrade	por
dc.contributor.author	Duarte, Júlio Miguel Marques	por
dc.contributor.author	Ferreira, Diana	por
dc.contributor.author	Durães, Dalila	por
dc.contributor.author	Marcondes, Francisco Supino	por
dc.contributor.author	Santos, Flávio Arthur Oliveira	por
dc.contributor.author	Gomes, Marco Filipe Vieira	por
dc.contributor.author	Novais, Paulo	por
dc.contributor.author	Gonçalves, Filipe	por
dc.contributor.author	Fonseca, Joaquim	por
dc.contributor.author	Lori, Nicolas Francisco	por
dc.contributor.author	Abelha, António	por
dc.contributor.author	Machado, José Manuel	por
dc.date.accessioned	2021-02-24T11:48:56Z	-
dc.date.issued	2020	-
dc.identifier.citation	Jesus, T., Duarte, J., Ferreira, D., Durães, D., Marcondes, F., Santos, F., … Machado, J. (2020). Review of Trends in Automatic Human Activity Recognition Using Synthetic Audio-Visual Data. Lecture Notes in Computer Science. Springer International Publishing. http://doi.org/10.1007/978-3-030-62365-4_53	-
dc.identifier.isbn	978-3-030-62364-7	-
dc.identifier.issn	0302-9743	-
dc.identifier.uri	https://hdl.handle.net/1822/70410	-
dc.description.abstract	An in-depth study of knowledge and technologies was made related to the various scientific, technical, and industrial domains necessary for the acquisition of skills and capabilities for the design and development of a multisensory fusion system for vehicle cockpits. After an extensive literature review, it was possible to determine the baselines of the solution to be developed and obtain a pipeline prototype.	por
dc.description.sponsorship	This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020. Human and material resources have also been supported by the European Structural and Investment Funds in the FEDER component, through the Operational Competitiveness and Internationalization Programme (COMPETE 2020) [Project number 039334; Funding Reference: POCI-01-0247-FEDER-039334].	por
dc.language.iso	eng	por
dc.publisher	Springer	por
dc.relation	info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT	por
dc.rights	restrictedAccess	por
dc.subject	Autonomous car	por
dc.subject	Multisensory fusion	por
dc.subject	Audio-visual synthetic data	por
dc.title	Review of trends in automatic human activity recognition using synthetic audio-visual data	por
dc.type	conferencePaper	por
dc.peerreviewed	yes	por
oaire.citationStartPage	549	por
oaire.citationEndPage	560	por
oaire.citationVolume	12490	por
dc.date.updated	2021-02-24T11:28:54Z	-
dc.identifier.doi	10.1007/978-3-030-62365-4_53	por
dc.date.embargo	10000-01-01	-
sdum.export.identifier	8959	-
sdum.journal	Lecture Notes in Computer Science	por
sdum.conferencePublication	Intelligent Data Engineering and Automated Learning – IDEAL 2020: 21st International Conference	por
Aparece nas coleções:	CAlg - Livros e capítulos de livros/Books and book chapters

Ficheiros deste registo:

Ficheiro	Descrição	Tamanho	Formato
ideal-01.pdf Acesso restrito!		426,49 kB	Adobe PDF	Ver/Abrir

Ver registo simples Sugerir correção Estatísticas

Citations

Altmetrics