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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Pascoal, R., Almeida, A. de & Sofia, R. C. (2019). Activity recognition in outdoor sports environments: Smart data for end-users involving mobile pervasive augmented reality systems. In UbiComp/ISWC 2019: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. (pp. 446-453). Londres: ACM.
Exportar Referência (IEEE) 
R. M. Pascoal et al.,  "Activity recognition in outdoor sports environments: Smart data for end-users involving mobile pervasive augmented reality systems", in UbiComp/ISWC 2019: Adjunct Proc. of the 2019 ACM Int. Joint Conf. on Pervasive and Ubiquitous Computing and Proc. of the 2019 ACM Int. Symp. on Wearable Computers, Londres, ACM, 2019, pp. 446-453
Exportar BibTeX 
@inproceedings{pascoal2019_1731965087258,
	author = "Pascoal, R. and Almeida, A. de and Sofia, R. C.",
	title = "Activity recognition in outdoor sports environments: Smart data for end-users involving mobile pervasive augmented reality systems",
	booktitle = "UbiComp/ISWC 2019: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers",
	year = "2019",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1145/3341162.3349299",
	pages = "446-453",
	publisher = "ACM",
	address = "Londres",
	organization = "",
	url = "https://dl.acm.org/citation.cfm?doid=3341162.3349299"
}
Exportar RIS 
TY  - CPAPER
TI  - Activity recognition in outdoor sports environments: Smart data for end-users involving mobile pervasive augmented reality systems
T2  - UbiComp/ISWC 2019: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
AU  - Pascoal, R.
AU  - Almeida, A. de
AU  - Sofia, R. C.
PY  - 2019
SP  - 446-453
DO  - 10.1145/3341162.3349299
CY  - Londres
UR  - https://dl.acm.org/citation.cfm?doid=3341162.3349299
AB  - Activity recognition is an increasingly relevant topic in the context of the most varied outdoor end-user services. In outdoor environments, activity recognition based on close-to-real-time information is key in providing awareness to the user about their habits and thus to allow the user to better perform. Such promptness is today provided via multiple sensors and performed both actively and passively via fitness gadgets, smartphones, mobile pervasive systems, and other personal mobile gadgets. In this context, it is relevant to understand how data from multiple sensors can be fused, interpreted and classified, to best provide feedback using the recognized activities, especially for smart data feedback. This paper provides a first analysis in activity recognition and adapted informational feedback to the user based on data fused from common sensors which are today available in personal devices is presented, focusing existent restrictions imposed by applications' usage in outdoor environments.
ER  -