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- W1566335108 abstract "The nowadays smart homes run predefined rules, but the user’s desired behaviour for a smart home varies, as his/her needs change over time. To edit the initial rules is a difficult task for a usual user. We propose a control mechanism that allows the system to learn the new behaviour preferences without editing the rules, but responding emotionally to the system’s decisions. In order to capture the emotion reaction we use FaceReader, a tool for facial analyses, adapting it to read three valence levels that work as positive, negative or neutral feedback. The results in training a MLP neural network to learn the preferred behaviour from the user’s emotional reaction are discussed. Ontology is used in order to describe the context." @default.
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- W1566335108 date "2009-01-01" @default.
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- W1566335108 title "Towards an Affective Aware Home" @default.
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- W1566335108 doi "https://doi.org/10.1007/978-3-642-02868-7_10" @default.
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