Ambient Intelligence: European Conference, AmI 2009, by Emile Aarts, Frits Grotenhuis (auth.), Manfred Tscheligi,

By Emile Aarts, Frits Grotenhuis (auth.), Manfred Tscheligi, Boris de Ruyter, Panos Markopoulus, Reiner Wichert, Thomas Mirlacher, Alexander Meschterjakov, Wolfgang Reitberger (eds.)

This ebook constitutes the refereed lawsuits of the 3rd eu convention on Ambient Intelligence, AmI 2009, held in Salzburg, Austria, in November 2009.

The 21 revised complete papers and 10 brief papers provided have been rigorously reviewed and chosen from a number of submissions for inclusion within the e-book. The papers are prepared in topical sections on sensing, reasoning and sensing, ambient expertise, ambient assisted dwelling, purposes and reports, tools and instruments and reasoning and adaption.

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Additional info for Ambient Intelligence: European Conference, AmI 2009, Salzburg, Austria, November 18-21, 2009. Proceedings

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In activity recognition, however, a moderate number of tags performed best, probably because too many tags caused overfitting to the persons in the training recordings. These results can be used as guidance in further development of the Confidence system and potentially in other projects in the area of ambient assisted living. Behavior Analysis Based on Coordinates of Body Tags 23 Last but not least, the paper describes and compares various features for machine learning. The relatively straightforward features in the reference coordinate system and angles combined with the SVM learning algorithm proved best for activity recognition.

All 4 participants who disliked the system were male, 26-32 years old, and only one of them owned a mobile phone with camera. Only one participant stated he had seen the system before, and he had thought that it was merely a clock consisting of letters, what he considered funny (the coupon code changes every second). One participant considered the system useless, but found it creative at least. The young participants were particularly enthusiastic about the system, and two immediately gathered their friends to show them the system.

Morgan Kaufmann, San Francisco (2005) 13. : Fall detection by wearable sensor and One-Class SVM algorithm. T. ) ACAI 1987. LNCS, vol. 345, pp. 858–863. de Abstract. In this paper we present a field study of a digital signage system that measures audience response with coupons in order to enable context adaptivity. In the concept for context adaptivity, the signs sense their environment; decide which content to show, and then sense the audience reaction to the content shown. From this audience measurement, the strategies which content to show in which situation are refined.

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