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 court cases of the fifth foreign 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 prepared alongside a collection of thematic tracks: ambient assisted residing; web of items; ambient play and studying; clever constructions and towns; clever riding; facts technological know-how; clever healthcare and therapeutic environments; ambient persuasion; and new and rising themes.
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Extra info for Ambient Intelligence: European Conference, AmI 2014, Eindhoven, The Netherlands, November 11-13, 2014. Revised Selected Papers
Our main motivation in detecting walking in synchrony between subjects, is that walking together (going to lunch for example) is an important aspect of the overall social interaction, which has been studied in our previous work [18–20]. In this work we ﬁrst used the accelerometer and Wi-Fi data independently to detect walking in synchrony. Then we evaluated performance of our method when combining both modalities. Using both sources of information helped to increase the overall accuracy of detecting joint walking activity.
Barsocchi improve the existing localization systems by adding a software overlay (that is sorce-agnostic) that receiving the information from the binary sensor network, usually deployed in smart environments, is able to reduce the overall localization error. 3 Source-Agnostic Localization Technique The proposed solution aims both at providing a rough localization information in absence of a dedicated subsystem with a room-level accuracy, and at increasing the accuracy performance of an underlying localization system exploiting the context data provided by a home automation/monitoring sensor network typically deployed in a AAL smart environment.
18–34. Springer, Heidelberg (2001) 14. : Simultaneous tracking and activity recognition (star) using many anonymous, binary sensors. , Schmidt, A. ) PERVASIVE 2005. LNCS, vol. 3468, pp. 62–79. Springer, Heidelberg (2005) 15. : On the feasibility of using wireless ethernet for indoor localization. IEEE Transactions on Robotics and Automation 20(3), 555–559 (2004) 16. : Modeling rﬁd signal strength and tag detection for localization and mapping. In: IEEE International Conference on Robotics and Automation, ICRA 2009, pp.
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