Abstract
Monitoring people within their residence can enable elderly to live a self-determined life in their own home environment for a longer period of time.
Therefore, commonly activity profiles of the residents are created using various sensors in the house. Deviations from the typical activity profile may indicate an emergency situation. An alternative approach for monitoring people within their residence we investigates within our research is reusing existing data sources instead of installing additional sensors. In private households there are already numerous data sources such as smart meters, weather station, routers or voice assistants available. Intelligent algorithms can be used to evaluate this data and conclude on personal activities. This, in turn, allows the creation of activity profiles of the residents without using external sensor technology. This work outlines the research gap in reusing existing data sources for Human Activity Recognition (HAR) and emergency detection, which we intend to fill with our further work.
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This work was funded by the Bavarian State Ministry of Family Affairs, Labor and Social Affairs.
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Wilhelm, S. (2021). Exploiting Home Infrastructure Data for the Good: Emergency Detection by Reusing Existing Data Sources. In: Ahram, T., Taiar, R., Groff, F. (eds) Human Interaction, Emerging Technologies and Future Applications IV. IHIET-AI 2021. Advances in Intelligent Systems and Computing, vol 1378. Springer, Cham. https://doi.org/10.1007/978-3-030-74009-2_7
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