By Emile Aarts, Boris de Ruyter, Panos Markopoulos, Evert van Loenen, Reiner Wichert, Ben Schouten, Jacques Terken, Rob Van Kranenburg, Elke Den Ouden, Gregory O'Hare
This e-book constitutes the refereed lawsuits of the fifth overseas Joint convention of Ambient Intelligence, AmI 2014, held in Eindhoven, The Netherlands, in November 2014. The 21 revised complete papers offered including five brief papers and four workshop papers have been conscientiously reviewed and chosen from fifty nine submissions. The papers are equipped alongside a collection of thematic tracks: ambient assisted dwelling; net of items; ambient play and studying; clever constructions and towns; clever riding; info technology; clever healthcare and therapeutic environments; ambient persuasion; and new and rising themes.
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Extra resources for Ambient Intelligence: European Conference, AmI 2014, Eindhoven, The Netherlands, November 11-13, 2014. Revised Selected Papers
Then, we combined both sensors and the overall accuracy increased because when adding Wi-Fi it was possible to reduce the false positives due to the fact that the persons may be walking at the same time but in diﬀerent places. Our experiments were tested in an oﬃce environment and these results are indicative of performance of our method. We plan to extend this work to a larger sample of subjects and investigate other types of interactions in synchrony, including commuting interactions such as being in the same car, bus or train.
128–140. Springer, Heidelberg (2013) 28. : Real´ trac technology overview. , Riedel, T. ) EvAAL 2013. CCIS, vol. 386, pp. 60–71. org 2 Tecnol´ ogico de Monterrey, Campus Monterrey, Av. , M´exico Abstract. Social interactions play an important role in the overall well-being. Current practice of monitoring social interactions through questionnaires and surveys is inadequate due to recall bias, memory dependence and high end-user eﬀort. However, sensing capabilities of smart-phones can play a signiﬁcant role in automatic detection of social interactions.
Information collected from binary sensor networks reduces uncertainty, improves accuracy, and increases tolerance to failures in estimating the location of observed user. By combining information from many diﬀerent sources, it would be possible to reduce the uncertainty and ambiguity inherent in making decisions based only on a single information source. Furthermore, the proposed system is able to provide a rough localization information in absence of a dedicated subsystem with a room-level accuracy.
Ambient Intelligence: European Conference, AmI 2014, Eindhoven, The Netherlands, November 11-13, 2014. Revised Selected Papers by Emile Aarts, Boris de Ruyter, Panos Markopoulos, Evert van Loenen, Reiner Wichert, Ben Schouten, Jacques Terken, Rob Van Kranenburg, Elke Den Ouden, Gregory O'Hare