Abstract
Falls might cause serious traumas especially among elderly people. To deliver timely medical aid, fall detection systems should be able to notify appropriately personnel immediately, when fall occurs. However, as in any system, notification mechanism affects overall energy consumption. Considering that energy efficiency affects reliability, as it influences runtime of the system, notification mechanism should be energy aware. We propose an IoT-enabled fall detection system with a messenger-based notification method, which allows to obtain energy efficient solution, decrease development time and allow to reuse facilities of a popular messaging platform.
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CITATION STYLE
Tcarenko, I., Gia, T. N., Rahmani, A. M., Westerlund, T., Liljeberg, P., & Tenhunen, H. (2017). Energy-efficient IoT-enabled fall detection system with messenger-based notification. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 192, pp. 19–26). Springer Verlag. https://doi.org/10.1007/978-3-319-58877-3_3
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