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

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.)

ISBN-10: 3642251668

ISBN-13: 9783642251665

This ebook 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 offered have been conscientiously reviewed and chosen from various submissions. The papers hide a variety of issues akin to haptic interfaces, shrewdpermanent sensing, clever environments, novel interplay applied sciences, affecting human behaviour, privateness and belief, panorama and ambient assisted living.

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

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86–95. Springer, Heidelberg (2010) 13. : Multifunctional systems in vehicles: a usability evaluation. In: Proc. of CybErg 2005, pp. 768–775(8). Ergonomics Association Press, Johannesburg (2005) 14. : Driving automotive user interface research. IEEE Pervasive Computing 9(1), 85–88 (2010) 15. : Cell-phone induced driver distraction. jp Abstract. Many researchers have proposed the development of table-top interfaces in the last decade. In a table-top system, for user satisfaction, they must be able to operate digital and analog media seamlessly.

2 Experimental Design The simulator part of the experiment was divided into three main stages. First, we acquainted the subjects with the simulator environment and allowed them to familiarize themselves with the simulator controls (about 3 minutes). Second, a complete turn (3 kms) was performed by each subject according to the lane change requirements to get a baseline condition without interaction influences. Third, they performed the ten secondary tasks. Assistance was given at the beginning of every task and the subjects could practice the task repeatedly until they felt comfortable with it.

Moreover, the results show that the proposed system can even handle small fingertip images. 1%, which is lower than that for trained subjects, but it is higher than that of the previous method. For some subjects, however, the recognition rate is very low because there was no fingernail color variation in the fingertip images of these subjects, which is considered as a different situation in the training data. Because the accuracy of recognition of pressing gestures depends on the training data, the accuracy is degraded when the color variation is very different from the training data.

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