@INPROCEEDINGS{Buesching:Healthcom2013:FallDetectionOnTheRoad,
  author = {Felix B{{\"u}}sching and Henning Post and Matthias Gietzelt and Lars Wolf},
  title = {Fall Detection on the Road},
  booktitle = {2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom) (IEEE Healthcom 2013)},
  year = {2013},
  address = {Lisbon, Portugal},
  month = oct,
  abstract = {While for an automatic and autonomous indoor fall detection an enormous
	amount of different sensors is conceivable, for an outdoor fall detection
	only wearable sensors are applicable. \%Wearable sensor nodes, equipped
	with accelerometers, gyroscopes, or barometric pressure sensors are
	most commonly used for such purposes. For practical uses cases, it
	would be very beneficial if after a detected fall a medical alert
	is initiated. In indoor environments, a base station connected to
	a telephone line can handle these calls. On the road, this can be
	achieved by mobile phones or smartphones.

	In this paper we first estimate the suitability of several systems
	for an outdoor fall detection. Then, we propose a system for a mobile
	and stationary fall detection and alerting system. We implemented
	and evaluated this system, which is consisting of a smartphone and
	a wireless sensor node.

	It is not the intention of this paper to give a qualitative analysis
	of different algorithms for fall detection, but where and how to
	implement these algorithms.},
  days = {10},
  keywords = {Outdoor Fall Detection; Wireless Sensor Node; Smartphone; Acceleroemter},
  ibrauthors = {buesch wolf},
  ibrgroups = {cm},
  ibrprojects = {gal inga},
  url = {https://www.ibr.cs.tu-bs.de/papers/buesching-healthcom2013.pdf},
  ibrslides = {https://www.ibr.cs.tu-bs.de/papers/buesching-healthcom2013-slides.pdf},
  owner = {Felix},
  timestamp = {2013.07.24}
}