Titlebook: Ambient Intelligence; Second International David V. Keyson,Mary Lou Maher,Ben J. A. Kr?se Conference proceedings 2011 Springer-Verlag GmbH

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Using Active Learning to Allow Activity Recognition on a Large Scalee parameters are different for every person and every environment. Therefore, for every person or environment, training is needed to be performed from scratch. Obtaining labeled data requires much effort therefore poses challenges on the large scale deployment of activity recognition systems. Active

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Predicting Sleeping Behaviors in Long-Term Studies with Wrist-Worn Sensor Data, two scenarios are scrutinized: The first predicts sleeping behavior using a day-of-the-week model. In a second scenario typical sleep patterns for either working or weekend days are modeled. In a continuous experiment over 141 days (6 months), sleeping behavior is characterized by four main featur

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