Autonomic Fall Detection System

ÖZDEMİR A. T., Tunc C., Hariri S.

2nd IEEE International Workshops on Foundations and Applications of Self* Systems (FAS*W), Arizona, United States Of America, 18 - 22 September 2017, pp.166-170 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/fas-w.2017.142
  • City: Arizona
  • Country: United States Of America
  • Page Numbers: pp.166-170
  • Keywords: Cloud computing, fog computing, internet of things, wearable devices, fall detection, data analytics, WEARABLE SENSORS
  • Erciyes University Affiliated: Yes


Internet of Things (IoT) and cloud computing have produced major breakthroughs in information services and applications. Internet provided the required connections to countless devices or things that have led to a significant improvement in the quality of life. In addition, using wearable devices and smart sensors has facilitated the deployment of pervasive healthcare services that provided better healthcare, and reduced life threatening risks without affecting one's privacy. In this paper, we present an architectural approach for autonomic healthcare management system and show how to use this system for autonomic fall detection, where we leverage wearable technologies, IoT, and cloud computing.