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Smart Fall: Accelerometer-Based Fall Detection in a Smart Home Environment
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.
Smart Fall: Accelerometer-Based Fall Detection in a Smart Home Environment
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.
Smart Fall: Accelerometer-Based Fall Detection in a Smart Home Environment
Lect.Notes Computer
Geissbühler, Antoine (editor) / Demongeot, Jacques (editor) / Mokhtari, Mounir (editor) / Abdulrazak, Bessam (editor) / Aloulou, Hamdi (editor) / Sprute, Dennis (author) / Pörtner, Aljoscha (author) / Weinitschke, Alexander (author) / König, Matthias (author)
International Conference on Smart Homes and Health Telematics ; 2015 ; Geneva, Switzerland
2015-05-30
12 pages
Article/Chapter (Book)
Electronic Resource
English
Acceleration Data , Wearable Device , Wearable Sensor , Fall Detection , Receiver Component Computer Science , Special Purpose and Application-Based Systems , User Interfaces and Human Computer Interaction , Information Systems Applications (incl. Internet) , Artificial Intelligence , Image Processing and Computer Vision , Information Storage and Retrieval
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