Exportar Publicação

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) 
Freitas, A., Brito, L., Baras, K. & Silva, J. (2017). Overview of context-sensitive technologies for well-being. In 2017 International Conference on Internet of Things for the Global Community (IoTGC). Funchal: IEEE.
Exportar Referência (IEEE) 
A. Freitas et al.,  "Overview of context-sensitive technologies for well-being", in 2017 Int. Conf. on Internet of Things for the Global Community (IoTGC), Funchal, IEEE, 2017
Exportar BibTeX 
@inproceedings{freitas2017_1715042041722,
	author = "Freitas, A. and Brito, L. and Baras, K. and Silva, J.",
	title = "Overview of context-sensitive technologies for well-being",
	booktitle = "2017 International Conference on Internet of Things for the Global Community (IoTGC)",
	year = "2017",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/IoTGC.2017.8008971",
	publisher = "IEEE",
	address = "Funchal",
	organization = "  University of Madeira (UMa) and Madeira Interactive Technologies Institute (M-ITI)",
	url = "http://ieeexplore.ieee.org/abstract/document/8008971/"
}
Exportar RIS 
TY  - CPAPER
TI  - Overview of context-sensitive technologies for well-being
T2  - 2017 International Conference on Internet of Things for the Global Community (IoTGC)
AU  - Freitas, A.
AU  - Brito, L.
AU  - Baras, K.
AU  - Silva, J.
PY  - 2017
DO  - 10.1109/IoTGC.2017.8008971
CY  - Funchal
UR  - http://ieeexplore.ieee.org/abstract/document/8008971/
AB  - Today smart devices such as smartphones, smartwatches and activity trackers are widely available and accepted in most developed societies. These devices present a broad set of sensors capable of extracting detailed information about different situations of daily life, which, if used for good, have the potential to improve the quality of life not only for individuals but also for the society in general. One of the key areas where this type of information can help to improve the quality of life is in healthcare since it allows to monitor and infer the current level of well-being of the smart devices carriers. In this paper, some of the available literature about well-being sensing through context-aware data is reviewed. Also, the main types of mechanisms used in these studies are identified. These mechanisms are related to monitoring, generalization, inference, feedback, energy management and privacy. Furthermore, a description of the mechanisms used in each study is presented.
ER  -