Abstract
Smart meters offer a low-cost, simple, and unobtrusive method to design monitoring systems for the detection of emergency situations in homes. The aim of this paper is to automatically detect the activity (Activity of Daily Living, ADL) of occupants based on such data. The approach trains a Semi-Markov-Model that describes the daily use of appliances, such as domestic appliances, sanitation, and heating system. Human habits are detected within the Semi Markov Model and rated by a similarity measure that calculates the probabilities for the ADL executed by the occupant based on the appliances he uses. This rating influences the probability for the ADL and permits model adaptation to individual user behavior. Considering the timeline of appliance usage, the probability estimations of each model state allow individualized and situation depending conclusions about the ongoing activity of the occupant.
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References
PERSONA Project: Full version of ambient as-sisted architecture specification (December 2007), http://www.aal-persona.org/deliverables/D3.1.1-Full_version_of_ambient_assisted_architecture_specification.pdf (last visit July 29, 2011)
SELBST Project: Ein innovatives Dienstleistungskonzept zur Unterstützung älterer Menschen und deren Angehörige. In: 4th Dt. AAL-Kongress, Berlin (January 2011)
Schmidt, F., Kabitzsch, K., Clement, J., Hildebrandt, D., Richter, K.-P., Müller, G., Hirschfeld, D.: Automatisierte Assistenz in Gefahrensituationen - das Projekt AutAGef und sein Geschäftsmodell. In: 4th Dt. AAL-Kongress, Berlin (January 2011)
Law on the energy industry, Energiewirtschaftsgesetz EnWG, zum Einbau von Smart-Metern (August 15, 2011) (ratification 13th July 2005, paragraphs 3a and 3b of § 21), http://www.gesetze-im-internet.de/bundesrecht/enwg_2005/gesamt.pdf (last review: 7th July 2005,
Flöck, M., Litz, L.: Inactivity Patterns and Alarm Generation in Senior Citizen‘s Houses. In: Proc. ECC 2009, Budapest (2009)
Yin, G., Bruckner, D.: Daily Activity Learning from Motion Detector Data for Ambient Assisted Living. In: HIS, Rzeszow, Poland, May 13-15 (2010)
Busch, B.-H., Kujath, A., Witthöft, A., Wlege, R.: Präventive Notfallerkennung auf Basis probalil-istischer und beschreibungslogischer Auswertung ver-teilter Sensornetze. In: 4th Dt. AAL-Kongress, Berlin (January 2011)
Wilken, O., Hülsken-Giesler, M., Remmers, H., Martens, B., Hein, A.: Aktivitätsbestimmung und Datenerhebung von älteren Menschen basierend auf der Nutzung elektrischer Geräte. In: GI Jahrestagung, Lübeck, pp.899–909 (2009)
Ploennigs, J., Dibowski, H., Ryssel, U., Kabitzsch, K.: Holistic Design of Wireless Building Au-tomation Systems. In: ETFA - IEEE Conf. on Emerging Technologies & Factory Automation (2010)
Katz, S., Down, T.D., Cash, H.R., et al.: Progress in the development of the index of ADL. Gerontologist 10, 20–30 (1970); Copyright The Gerontological Society of America
Lawton, M.P., Brody, E.M.: Assessment of older people: Self-maintaining and instrumental activities of daily living. Gerontologist 9, 179–186 (1969)
Clement, J., Plönnigs, J., Kabitzsch, K.: Lernen eines ADL-Tagesprofils menschlichen Ver-haltens mittels hierarchisch aufgebautem Markov Modell. In: 4th Dt. AAL-Kongress, Berlin (January 2011)
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Clement, J., Ploennigs, J., Kabitzsch, K. (2012). Smart Meter: Detect and Individualize ADLs. In: Wichert, R., Eberhardt, B. (eds) Ambient Assisted Living. Advanced Technologies and Societal Change. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27491-6_8
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DOI: https://doi.org/10.1007/978-3-642-27491-6_8
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