• TUCS Publication Series
• How to Publish in TUCS Series
• Publication Search
• Publication Graph
• Publication Input
• Publication Input Guide
• JuFo Browser

Energy-Efficient IoT-Enabled Fall Detection System with Messenger-Based Notification

Igor Tcarenko, Tuan Nguyen Gia, Amir-Mohammad Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen, Energy-Efficient IoT-Enabled Fall Detection System with Messenger-Based Notification. In: Paolo Perego, Giuseppe Andreoni, Giovanna Rizzo (Eds.), Wireless Mobile Communication and Healthcare , 19–26, Springer, 2016.

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.

BibTeX entry:

@INPROCEEDINGS{inpTcNgRaWeLiTe16a,
  title = {Energy-Efficient IoT-Enabled Fall Detection System with Messenger-Based Notification},
  booktitle = {Wireless Mobile Communication and Healthcare },
  author = {Tcarenko, Igor and Nguyen Gia, Tuan and Rahmani, Amir-Mohammad and Westerlund, Tomi and Liljeberg, Pasi and Tenhunen, Hannu},
  editor = {Perego, Paolo and Andreoni, Giuseppe and Rizzo, Giovanna},
  publisher = {Springer},
  pages = {19–26},
  year = {2016},
}

Belongs to TUCS Research Unit(s): Embedded Computer and Electronic Systems (ECES)

Edit publication