Smart Fall: Accelerometer-Based Fall Detection in a Smart Home Environment
D. Sprute, A. Pörtner, A. Weinitschke, M. König, in: A. Geissbühler, J. Demongeot, M. Mokhtari, B. Abdulrazak, H. Aloulou (Eds.), Inclusive Smart Cities and E-Health, Springer International Publishing, Cham, 2015, pp. 194–205.
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Buchbeitrag
| Veröffentlicht
| Englisch
Autor*in
Sprute, Dennis;
Pörtner, Aljoscha;
Weinitschke, Alexander;
König, Matthias
Herausgeber*in
Geissbühler, Antoine;
Demongeot, Jacques;
Mokhtari, Mounir;
Abdulrazak, Bessam;
Aloulou, Hamdi
Einrichtung
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.
Erscheinungsjahr
Buchtitel
Inclusive Smart Cities and e-Health
Seite
194-205
ISBN
ISSN
eISSN
FH-PUB-ID
Zitieren
Sprute, Dennis ; Pörtner, Aljoscha ; Weinitschke, Alexander ; König, Matthias: Smart Fall: Accelerometer-Based Fall Detection in a Smart Home Environment. In: Geissbühler, A. ; Demongeot, J. ; Mokhtari, M. ; Abdulrazak, B. ; Aloulou, H. (Hrsg.): Inclusive Smart Cities and e-Health, Lecture Notes in Computer Science. Cham : Springer International Publishing, 2015, S. 194–205
Sprute D, Pörtner A, Weinitschke A, König M. Smart Fall: Accelerometer-Based Fall Detection in a Smart Home Environment. In: Geissbühler A, Demongeot J, Mokhtari M, Abdulrazak B, Aloulou H, eds. Inclusive Smart Cities and E-Health. Lecture Notes in Computer Science. Cham: Springer International Publishing; 2015:194-205. doi:10.1007/978-3-319-19312-0_16
Sprute, D., Pörtner, A., Weinitschke, A., & König, M. (2015). Smart Fall: Accelerometer-Based Fall Detection in a Smart Home Environment. In A. Geissbühler, J. Demongeot, M. Mokhtari, B. Abdulrazak, & H. Aloulou (Eds.), Inclusive Smart Cities and e-Health (pp. 194–205). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-19312-0_16
@inbook{Sprute_Pörtner_Weinitschke_König_2015, place={Cham}, series={Lecture Notes in Computer Science}, title={Smart Fall: Accelerometer-Based Fall Detection in a Smart Home Environment}, DOI={10.1007/978-3-319-19312-0_16}, booktitle={Inclusive Smart Cities and e-Health}, publisher={Springer International Publishing}, author={Sprute, Dennis and Pörtner, Aljoscha and Weinitschke, Alexander and König, Matthias}, editor={Geissbühler, Antoine and Demongeot, Jacques and Mokhtari, Mounir and Abdulrazak, Bessam and Aloulou, HamdiEditors}, year={2015}, pages={194–205}, collection={Lecture Notes in Computer Science} }
Sprute, Dennis, Aljoscha Pörtner, Alexander Weinitschke, and Matthias König. “Smart Fall: Accelerometer-Based Fall Detection in a Smart Home Environment.” In Inclusive Smart Cities and E-Health, edited by Antoine Geissbühler, Jacques Demongeot, Mounir Mokhtari, Bessam Abdulrazak, and Hamdi Aloulou, 194–205. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2015. https://doi.org/10.1007/978-3-319-19312-0_16.
D. Sprute, A. Pörtner, A. Weinitschke, and M. König, “Smart Fall: Accelerometer-Based Fall Detection in a Smart Home Environment,” in Inclusive Smart Cities and e-Health, A. Geissbühler, J. Demongeot, M. Mokhtari, B. Abdulrazak, and H. Aloulou, Eds. Cham: Springer International Publishing, 2015, pp. 194–205.
Sprute, Dennis, et al. “Smart Fall: Accelerometer-Based Fall Detection in a Smart Home Environment.” Inclusive Smart Cities and E-Health, edited by Antoine Geissbühler et al., Springer International Publishing, 2015, pp. 194–205, doi:10.1007/978-3-319-19312-0_16.
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