Abstract
Ambient Assisted Living (AAL) is currently one of the important research and development areas, where software engineering aspects play a significant role. The goal of AAL solutions is to apply ambient intelligence technologies to enable people with specific needs to continue to live in their preferred environments. This paper presents an approach and several evaluations for emergency monitoring applications. Experiments in a laboratory setting were performed to evaluate the accuracy of recognizing Activities of Daily Living (ADL). The results show that it is possible to detect ADLs with an accuracy of 92% on average. Hence, we conclude that it is possible to support elderly people in staying longer in their homes by autonomously detecting emergencies on the basis of ADL recognition.
Chapter PDF
Similar content being viewed by others
References
EMERGE: Emergency Monitoring and Prevention, Specific Targeted Research Project (STREP) of the EC, Project No. 045056, http://www.emerge-project.eu
BelAmI: Bilateral German-Hungarian Collaboration on Ambient Intellgence Systems, funded by the German Federal Ministry of Education and Research (BMBF), the Fraunhofer-Gesellschaft, and the Ministry of Science, Education, Research, and Culture of Rhineland-Palatinate (MWWFK), http://www.belami-project.org
Miskelly, F.G.: Assistive technology in elderly care. Age and Ageing 30(6), 455–458 (2001), http://ageing.oxfordjournals.org/cgi/reprint/30/6/455
Frost, Sullivan: European Remote Patient Monitoring Markets, B519–B556 (2005)
ICT for independent living for elderly. A study on ICT enabled independent living for elderly for the European Commission created by VDI/VDE Innovation + Technik GmbH, Berlin, Germany, http://www.ict-ile.eu/db/products
Dishman, E.: Inventing Wellness Systems for Aging in Place. IEEE Computer 37(5), 34–41 (2004)
Katz, S., Ford, A.B., Moskowitz, R.W., Jackson, B.A., Jaffe, M.W.: Studies of Illness in the Aged: The Index of ADL: A Standardized Measure of Biological and Psychosocial Function. Journal of the American Medical Association 185(12), 914–919 (1963)
Lawton, M.P.: Scales to Measure Competence in Everyday Activities. Psychoparmacological Bulletin 24, 609–710 (1988)
Kane, R.A., Kane, R.L.: Assessing the Elderly – A Practical Guide to Measurement, pp. 25–67. Lexington Books, Lexington (1981)
Fillenbaum, G.: Multidimensional Functional Assessment – Overview. In: Mezey, M.D. (ed.) The Encyclopedia of Elder Care, pp. 438–440. Springer, New York (2001)
Glascock, A.P., Kutzik, D.M.: The Impact of Behavioral Monitoring Technology on the Provision of Health Care in the Home. Journal of Universal Computer Science 12(1), 59–79 (2006)
Kutzik, D.M., Glascock, A.P.: Monitoring Household Behavior to enhance Safety and Well-Being. In: Burdick, D., Kwon, S. (eds.) Gerontechnology – Research and Practice in Technology and Aging, pp. 132–144. Springer, New York (2004)
Glascock, A.P., Kutzik, D.M.: Automated Behavioral Monitoring. In: Keijer, U., Sandstrom, G. (eds.) Smart Homes and User Values, Eastern Mediterranean University, Faculty of Architecture, Gazimagusa, Mersin, Turkey, pp. 83–106 (2007)
Vitaphone, http://www.vitaphone.de
DRK Hausnotruf, http://www.drk-hausnotruf.net
IST Vivago, http://www.istsec.fi
Sophia, http://www.sophia-nrw.de
Storf, H., Becker, M.: A Multi-Agent-based Activity Recognition Approach for Ambient Assisted Living. In: 3rd Workshop Artificial Intelligence Techniques for Ambient Intelligence, European Conference on Artificial Intelligence, Patras, Greece (2008)
Nehmer, J., Karshmer, A., Becker, M., Lamm, R.: Living Assistance Systems: An Ambient Approach. In: Osterweil, L.J. (ed.) Proc. 28th Int. Conf Software Engineering, Shanghai, pp. 43–50. ACM Press, New York (2006)
Garsden, H., Basilakis, J., Celler, B.G., Huynh, K.: A home health monitoring system including intelligent reporting and alerts. In: IEEE Conf. Engineering in Medicine and Biology Society 2004, vol. (5), pp. 3151–3154 (2004)
Celler, B.G., et al.: An instrumentation system for the remote monitoring of changes in functional health status of the elderly at home. In: Proc. of the 16th Ann. Int. Conf. of IEEE Eng. Med. and Biol. Soc., vol. 2, pp. 908–909 (1994)
Basili, V.R., Caldiera, G., Rombach, H.D.: Goal Question Metric Paradigm. In: Marciniak, J.J. (ed.) Encyclopedia of Software Engineering, vol. 1, pp. 528–532. John Wiley & Sons, Chichester (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kleinberger, T., Jedlitschka, A., Storf, H., Steinbach-Nordmann, S., Prueckner, S. (2009). An Approach to and Evaluations of Assisted Living Systems Using Ambient Intelligence for Emergency Monitoring and Prevention. In: Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. Intelligent and Ubiquitous Interaction Environments. UAHCI 2009. Lecture Notes in Computer Science, vol 5615. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02710-9_23
Download citation
DOI: https://doi.org/10.1007/978-3-642-02710-9_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02709-3
Online ISBN: 978-3-642-02710-9
eBook Packages: Computer ScienceComputer Science (R0)