Sensing from the basement: a feasibility study of unobtrusive and low-cost home activity recognition
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Pervasive and Mobile Computing
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A long-term evaluation of sensing modalities for activity recognition
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Bathroom activity monitoring based on sound
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Pervasive intelligence system to enable safety and assistance in kitchen for home-alone elderly
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Personal and Ubiquitous Computing
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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.