Abstract
This paper builds on previous work by different authors on monitoring the use of household devices through analysis of the power line current. Whereas previous work dealt with detecting which device is being used, we go a step further and analyze how the device is being used. We focus on a kitchen scenario where many different devices are relevant to activity recognition. The paper describes a smart, easy to install sensor that we have built to do the measurements and the algorithms which can for example determine the consistency of the substance in the mixer, how many eggs are being boiled (and if they are soft or hard), what size of coffee has been prepared or whether a cutting machine was used to cut bread or salami. A set of multi user experiments has been performed to validate the algorithms.
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Bauer, G., Stockinger, K., Lukowicz, P. (2009). Recognizing the Use-Mode of Kitchen Appliances from Their Current Consumption. In: Barnaghi, P., Moessner, K., Presser, M., Meissner, S. (eds) Smart Sensing and Context. EuroSSC 2009. Lecture Notes in Computer Science, vol 5741. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04471-7_13
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DOI: https://doi.org/10.1007/978-3-642-04471-7_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04470-0
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