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Advisor(s)
Abstract(s)
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.
Description
Keywords
Healthcare Well-being Context-sensing Data analysis IoT . Faculdade de Ciências Exatas e da Engenharia
Citation
Freitas, A., Brito, L., Baras, K., & Silva, J. (2017, July). Overview of context-sensitive technologies for well-being. In International Conference on Internet of Things for the Global Community (IoTGC) 2017 (pp. 1-8). IEEE.
Publisher
IEEE