Human activity recognition systems: State of art

Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/89933

Título:	Human activity recognition systems: State of art
Autor(es):	Alpoim, Luis Ferreira da Silva, Alexandre Santos, Cristina
Data:	2019
Editora:	IEEE
Citação:	Alpoim, L., da Silva, A. F., & Santos, C. P. (2019, February). Human Activity Recognition Systems: State of Art. 2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG). IEEE. http://doi.org/10.1109/enbeng.2019.8692468
Resumo(s):	The present paper surveys the current research directions of the human activity recognition (HAR). Firstly, it is presented the problem of the occupational diseases and the importance of the HAR systems in the prevention of these illnesses. Then, the main steps and the most used techniques of the activity recognition process are described. Therefore, are referred some issues related to the HAR systems, that could affect both the system usability and recognition performance. By the end, the capital limitations related to these systems are discussed, as well as, some considerations to take into account in a future work.
Tipo:	Artigo em ata de conferência
URI:	https://hdl.handle.net/1822/89933
ISBN:	9781538685068
DOI:	10.1109/ENBENG.2019.8692468
Arbitragem científica:	yes
Acesso:	Acesso restrito UMinho
Aparece nas coleções:	DEI - Artigos em atas de congressos nacionais