Ambient Intelligence: Second International Joint Conference by Hendrik Richter, Sebastian Löhmann, Alexander Wiethoff

By Hendrik Richter, Sebastian Löhmann, Alexander Wiethoff (auth.), David V. Keyson, Mary Lou Maher, Norbert Streitz, Adrian Cheok, Juan Carlos Augusto, Reiner Wichert, Gwenn Englebienne, Hamid Aghajan, Ben J. A. Kröse (eds.)

This publication constitutes the refereed lawsuits of the second one overseas Joint convention on Ambient Intelligence, AmI 2011, held in Amsterdam, The Netherlands, in November 2011.

The fifty eight revised complete papers provided have been rigorously reviewed and chosen from a variety of submissions. The papers conceal a variety of issues resembling haptic interfaces, clever sensing, clever environments, novel interplay applied sciences, affecting human behaviour, privateness and belief, panorama and ambient assisted living.

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Additional resources for Ambient Intelligence: Second International Joint Conference on AmI 2011, Amsterdam, The Netherlands, November 16-18, 2011. Proceedings

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Therefore, whether the finger stayed – in contact or not – was determined by the variance threshold. The pressing direction was estimated by detecting the origin of pressure change on the fingertips. Although this method enables touch sensing everywhere, there is a hardware restriction because this method requires a high-resolution fingertip image. , recognized user gestures by processing images using a camera[2]. However, this system did not attempt to recognize whether the user touched the surface.

Camera Display Fig. 4. 2 27 Experiments of Pressing Gesture Recognition In order to confirm the effectiveness of our discrimination method, we conducted experiments with 14 subjects and compared our method to the conventional method[1]. Nine thousand fingernail images were obtained as training data from eight men and women in their 20s. Tables 1. and 2. show the recognition rate of subjects whose data was gathered during training and that of the other subjects, respectively. These tables indicate that our method performs better than the conventional method.

The lane change task as a tool for driver distraction evaluation. , Bubb, H. ) Quality of Work and Products in Enterprises of the Future, pp. 57–60. Ergonomia Verlag, Stuttgart (2003) 11. : Acceptance of future persuasive in-car interfaces towards a more economic driving behaviour. In: Proc. of AutomotiveUI 2010, pp. 81–88. ACM (2009) 12. : Taxi-Aware Map: Identifying and Predicting Vacant Taxis in the City. , Mana Gomez, A. ) AmI 2010. LNCS, vol. 6439, pp. 86–95. Springer, Heidelberg (2010) 13.

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