Titlebook: Ambient Intelligence; Third International Fabio Paternò,Boris Ruyter,Kris Luyten Conference proceedings 2012 Springer-Verlag Berlin Heidel

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0302-9743 rnational Joint Conference an Ambient Intelligence, AmI 2012, held in Pisa, Italy, in November 2012. The 18 revised full papers and 5 short papers presented were carefully reviewed and selected from 47 (full papers) respectively 14 (short papers) submissions. From a scientific point of view, the pap

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https://doi.org/10.1007/978-3-658-00729-4g an action on his behalf. This paper focuses on the . architecture and on its learning capabilities. It proposes some promising results obtained through various scenarios, including a comparison with the Multilayer Perceptron (MLP) algorithm.

Canvas

https://doi.org/10.1007/978-3-322-91448-4xtended a model for recognizing the social attitude in text-based dialogs by adding two additional knowledge sources: speech and gestures. Results of the study show that these additional knowledge sources may help in improving the recognition of the users’ attitude during interaction.

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Context Awareness in Ambient Systems by an Adaptive Multi-Agent Approachg an action on his behalf. This paper focuses on the . architecture and on its learning capabilities. It proposes some promising results obtained through various scenarios, including a comparison with the Multilayer Perceptron (MLP) algorithm.

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Recognizing the User Social Attitude in Multimodal Interaction in Smart Environmentsxtended a model for recognizing the social attitude in text-based dialogs by adding two additional knowledge sources: speech and gestures. Results of the study show that these additional knowledge sources may help in improving the recognition of the users’ attitude during interaction.

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Enhancing Accelerometer-Based Activity Recognition with Capacitive Proximity Sensingtive proximity sensor that senses the user’s activities based on the combined sensor values. We show that our proposed approach of combining both modalities significantly improves the recognition rate for detecting activities of daily living.

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Adaptive User Interfaces for Smart Environments with the Support of Model-Based Languageslected aspects of the context during run-time by communicating with a context server and applying the specified adaptation rules. In order to show the possibilities of the proposed solution, we report on its application in the development of an adaptive user interface prototype to be used in a warehouse picking system.

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