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Smart Fall: Accelerometer-Based Fall Detection in a Smart Home Environment

  • Dennis SpruteEmail author
  • Aljoscha Pörtner
  • Alexander Weinitschke
  • Matthias König
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9102)

Abstract

The detection of falls in an elderly society is an active field of research because of the the enormous costs caused by falls. In this paper, Smart Fall is presented. It is a new accelerometer-based fall detection system integrated into an intelligent building. The developed system consists of two main components. Fall detection is realized inside a small customized wearable device that is characterized by low costs and low-energy consumption. Additionally, a receiver component is implemented which serves as mediator between the wearable device and a Smart Home environment. The wireless connection between the wearable and the receiver is performed by Bluetooth Low Energy (BLE) protocol. OpenHAB is used as platform-independent integration platform that connects home appliances vendor- and protocol-neutral. The integration of the fall detection system into an intelligent home environment offers quick reactions to falls and urgent support for fallen people.

Keywords

Acceleration Data Wearable Device Wearable Sensor Fall Detection Receiver Component 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Dennis Sprute
    • 1
    Email author
  • Aljoscha Pörtner
    • 1
  • Alexander Weinitschke
    • 1
  • Matthias König
    • 1
  1. 1.Department of TechnologyUniversity of Applied Sciences BielefeldMindenGermany

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