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The symbolic approach to machine learning has developed algorithms for learning First Order Logic concept definitions. Nevertheless, most of them are limited because of their impossibility to cope with numeric features, typical of real-world data. In this paper, a method to face this problem is proposed. In particular, an extended version of the system(More)
The emergent application area of Ambient Intelligence provides new opportunities in the field of social interaction, and new means to conceive and design novel interface solutions for accessing social technologies. The maturity of technologies such as motion tracking, gesture recognition, facial expression and emotion recognition facilitate natural(More)
The objective of this work is to suggest criteria and guidelines that can be used to design inclusive technological solutions to support human activity sharing in the context of Ambient Intelligence. These guidelines derive from the analysis of previous works in related fields such as cognitive engineering, usability, inclusive design and accessibility. The(More)
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