Download Ambient Intelligence: European Conference, AmI 2008, by Martijn H. Vastenburg, Thomas Visser, Marieke Vermaas, David PDF

By Martijn H. Vastenburg, Thomas Visser, Marieke Vermaas, David V. Keyson (auth.), Emile Aarts, James L. Crowley, Boris de Ruyter, Heinz Gerhäuser, Alexander Pflaum, Janina Schmidt, Reiner Wichert (eds.)

This publication constitutes the refereed complaints of the second one ecu convention on Ambient Intelligence, AmI 2008, held in Nuremberg, Germany, in November 2008.

The 22 revised complete papers offered have been conscientiously reviewed and chosen from a variety of submissions for inclusion within the publication. The papers are approximately labeled into teams on wellbeing and fitness and care, and mobility and logistics respectively; they're prepared in topical sections on service-oriented clever and cozy houses for larger activity and relaxation time, clever and cooperative household units for shrewdpermanent domestic and procuring environments, navigation and information in unknown environments and strange events, context-oriented health and wellbeing tracking and alerting structures for a carefree life.

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Additional info for Ambient Intelligence: European Conference, AmI 2008, Nuremberg, Germany, November 19-22, 2008. Proceedings

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Raducanu and F. Dornaika References 1. : Comprehensive database for facial expression analysis. In: Proc. of IEEE International Conference on Automatic Face and Gesture Recognition (2000) 2. : Model-based coding: extraction, coding and evaluation of face model parameters. D. Thesis, Dept. of Elec. , Sweden (September 2002) 3. : Deciphering the enigmatic face: the importance of facial dynamics to interpreting subtle facial expressions. Psychological Science 16(5), 403–410 (2005) 4. : On appearance based face and facial action tracking.

Moreover, we found out that the SVM clearly outperforms LDA and NDA in classification accuracy. Besides the experiments described above, we performed also a cross-check validation. In the first experiment, we trained the static classifier with the frames corresponding to half-apex expression and use the apex frames for test. We refer to this case as ’minor’ static classifier. In a second experiment, we trained the classifier with the apex frames and test it using the half-apex frames (’major’ static classifier).

Model-based coding: extraction, coding and evaluation of face model parameters. D. Thesis, Dept. of Elec. , Sweden (September 2002) 3. : Deciphering the enigmatic face: the importance of facial dynamics to interpreting subtle facial expressions. Psychological Science 16(5), 403–410 (2005) 4. : On appearance based face and facial action tracking. IEEE Trans. on Circuits and Systems for Video Technology 16(9), 1107–1124 (2006) 5. : Robot in society: friend or appliance? In: Proc. of Wksp. on EmotionBased Agent Architectures, pp.

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