Research Article
Energy-Efficient IoT-Enabled Fall Detection System with Messenger-Based Notification
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@INPROCEEDINGS{10.1007/978-3-319-58877-3_3, author={Igor Tcarenko and Tuan Nguyen Gia and Amir Rahmani and Tomi Westerlund and Pasi Liljeberg and Hannu Tenhunen}, title={Energy-Efficient IoT-Enabled Fall Detection System with Messenger-Based Notification}, proceedings={Wireless Mobile Communication and Healthcare. 6th International Conference, MobiHealth 2016, Milan, Italy, November 14-16, 2016, Proceedings}, proceedings_a={MOBIHEALTH}, year={2017}, month={6}, keywords={Internet of Things Messenger Fall detection Fog computing Energy efficiency Real-time systems}, doi={10.1007/978-3-319-58877-3_3} }- Igor Tcarenko
Tuan Nguyen Gia
Amir Rahmani
Tomi Westerlund
Pasi Liljeberg
Hannu Tenhunen
Year: 2017
Energy-Efficient IoT-Enabled Fall Detection System with Messenger-Based Notification
MOBIHEALTH
Springer
DOI: 10.1007/978-3-319-58877-3_3
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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