By Emile Aarts, Frits Grotenhuis (auth.), Manfred Tscheligi, Boris de Ruyter, Panos Markopoulus, Reiner Wichert, Thomas Mirlacher, Alexander Meschterjakov, Wolfgang Reitberger (eds.)
This publication constitutes the refereed lawsuits of the 3rd ecu convention on Ambient Intelligence, AmI 2009, held in Salzburg, Austria, in November 2009.
The 21 revised complete papers and 10 brief papers awarded have been rigorously reviewed and chosen from a variety of submissions for inclusion within the e-book. The papers are geared up in topical sections on sensing, reasoning and sensing, ambient know-how, ambient assisted residing, functions and reviews, tools and instruments and reasoning and adaption.
Read Online or Download Ambient Intelligence: European Conference, AmI 2009, Salzburg, Austria, November 18-21, 2009. Proceedings PDF
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Additional info for Ambient Intelligence: European Conference, AmI 2009, Salzburg, Austria, November 18-21, 2009. Proceedings
5) and Na¨ıve Bayes classiﬁers found in Weka [20, 21]. The classiﬁcation algorithms were evaluated on the two diﬀerent data sets A and B. Since subject dependent evaluations have only very limited application in the contexts that we envisage we only evaluated our algorithms under the subject independent protocol. Under this protocol, we trained 19 subjects, tested the one remaining subject, and repeated the process. e. over 80%). e. corresponding one annotator’s mark-up of all the data), here a 128-sample windows demonstrated marginally better accuracy.
Additionally, a paradigm shift needs to be necessary, to make the users expect something useful at the signs. e. boring advertisements, telephone book) and ignored them. In order to advertise the system, we distributed 5000 flyers in the city center. This however seemed to have had no effect in mitigating the lower visibility of the signs. Advertisers Although many advertisers were interested, it was pretty difficult to make them actually register on the system, create ads and submit them. Except for two shops, the actual ads were finally created and submitted by us.
However, since we added noise to the results, we did not unfairly take advantage of its main strength, which is accuracy. Fall detection with accelerometers is quite common, particularly using simple threshold algorithms . 7 % was reported . A fall detector using a gyroscope attached to the torso achieved the accuracy of 100 % . In both cases falls and the activities from which falls were being distinguished were performed by the same persons in training and in testing, which may account for the high accuracies.
Ambient Intelligence: European Conference, AmI 2009, Salzburg, Austria, November 18-21, 2009. Proceedings by Emile Aarts, Frits Grotenhuis (auth.), Manfred Tscheligi, Boris de Ruyter, Panos Markopoulus, Reiner Wichert, Thomas Mirlacher, Alexander Meschterjakov, Wolfgang Reitberger (eds.)