Situation-Aware Ambient Assisted Living and Ambient Intelligence Data Integration for Efficient Eldercare - E-Healthcare Systems and Wireless Communications - page 347

Kurschl, W., Mitsch, S., & Schoenboeck, J. (2008).
An engineering toolbox to build situation aware
ambient assisted living systems. In Proceedings of
3 rd International Conference on Broadband Com-
munications, Information Technology Biomedical
Applications (pp. 110-116).

Matheus, C. J., Kokar, M. M., & Baclawski, K.
(2003). A core ontology for situation awareness.
In Proceedings of 6 th International Conference of
Information Fusion (pp. 83-98).

Mayr, M. (2008). Kommunikationsprozesse in
komplexen Strukturen am Beispiel systemübergre-
ifender Transfers pflegerelevanter Informationen
zwischen Gesundheits- und Sozialbereich. In U.
A. Sciences (Ed.), Proceedings of the FH Science
Day. Linz, Austria: Shaker Verlag.

Kurschl, W., Schoenboeck, J., & Mitsch, S. (2009).
An evaluation framework for pervasive healthcare
applications. In Proceedings of 4 th International
Conference on Broadband Communications, In-
formation Technology & Biomedical Applications
(p. 6), Wroclaw, Poland.

Mayr, M., & Lehner, M. (2008). Stationäre Ver-
sorgung älterer Menschen in Oberösterreich.
Versorgungsnetzwerke und -prozesse . Linz, Aus-
tria: School of Social and Health Sciences, Upper
Austria University of Applied Sciences.

Levis, P., Madden, S., Polastre, J., Szewczyk, R.,
Whitehouse, K., & Woo, A. …Culler, D. (2005).
TinyOS: An operating system for wireless sensor
networks. In W. Weber, J. Rabaey, & E. Aarts
(Eds.), Ambient intelligence.

Mayr, M., & Lehner, M. (2008a). In O. Gebi-
etskrankenkasse (Ed.), Zwischen mobiler Pflege
und Krankenhaus. Eine prekäre Schnittstelle der
Versorgung im Alter (Gesundheitswissenschaften
ed., vol. 33). Linz, Austria: Johannes Kepler Uni-
versity, Institute for Social Policy.

Lewis, F. L. (2005). Wireless sensor networks. In
D. J. Cook, & S. K. Das (Eds.), Smart environ-
ments - Technology, protocols, and applications
(pp. 13-46). New Jersey, USA: John Wiley & Sons,
Inc. DOI: 10.1002/047168659X.ch2

Mayr, M., & Lehner, M. (2009). Herausforderun-
gen der Integrierten Versorgung im Alter. Prob-
leme und Perspektiven . Linz, Austria: Wagner.

Llinas, J., Bowman, C., Rogova, G., & Steinberg,
A. (2004). Revisiting the JDL data fusion model
II.: In Proceedings of the 7 th International Confer-
ence on Information Fusion , Stockholm, Sweden

National Electrical Manufacturers Association.
(2010). DICOM. Digital imaging and communica-
tions in medicine . Retrieved September 1, 2010,
from http://dicom.nema.org

Lo, B., Pansiot, J., & Yang, G.-Z. (2009). Bayesian
analysis of sub-plantar ground reaction force with
BSN. In Proceedings of 6 th International Workshop
on Body Sensor Networks, Berkeley, CA, USA.

Nehmer, J., Becker, M., Karshmer, A., & Lamm,
R. (2006). Living assistance systems: An ambient
intelligence approach. In Proceedings of the 28 th
International Conference on Software Engineer-
ing, ICSE (pp. 43-50). New York, USA.

Madsen, J., Serup-Hansen, N., & Kristiansen, I.
(2002). Future health care costs - Do health care
costs during the last year of life matters? Health
Policy, 2 (62), s.l.

Nick, M., & Becker, M. (2007). A hybrid approach
to intelligent living assistance. In Proceedings of
the 7 th International Conference on Hybrid Intel-
ligent Systems (pp. 283-289). Washington, DC:
IEEE Computer Society.

Mahajan, D., Kwatra, N., Jain, S., Kalra, P., &
Banerjee, S. (2004). A framework for activity
recognition and detection of unusual activities.
In Proceedings of the Indian Conference on
Computer Vision, Graphics and Image Processing
(ICVGIP 2004), Kolkata, India.