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 complaints 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 offered have been rigorously reviewed and chosen from quite a few submissions for inclusion within the e-book. The papers are prepared in topical sections on sensing, reasoning and sensing, ambient expertise, ambient assisted dwelling, functions and reports, equipment and instruments and reasoning and adaption.
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Extra info for Ambient Intelligence: European Conference, AmI 2009, Salzburg, Austria, November 18-21, 2009. Proceedings
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.
The features were adapted from medical literature [5, 9]. Each feature refers to two steps, one with each leg. Wherever applicable, the features are computed for each leg separately and the difference in the values for both legs is also included: • Support (foot on the ground), swing (foot off the ground) and step (support + swing) times. • Double support time (both feet on the ground). • Step length and width. • Maximal distance of the foot from the ground. • Ankle, knee and hip angles upon touching the ground.
In the photo condition, participants would have to take a photo of the sign using their own mobile phone. In the Bluetooth condition, they would have to activate Bluetooth and set it to ‘visible’. A hidden wizard-of-oz would then send them the coupon via Bluetooth using a mobile phone. The participant would have to accept the incoming connection. The time needed from the first key press on the user’s mobile phone until the coupon was saved on the mobile phone was measured. In both conditions, participants would then go to the shop, which was approx.
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.)