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By Asha Kapur, Ajay Kapur, Naznin Virji-Babul, George Tzanetakis, Peter F. Driessen (auth.), Jianhua Tao, Tieniu Tan, Rosalind W. Picard (eds.)

This quantity includes the complaints of the first foreign convention on A?ective Computing and clever interplay (ACII 2005) held in Beijing, China, on 22–24 October 2005. ordinarily, the desktop finish of human–machine interplay has been very passive, and definitely has had no technique of spotting or expressing a?ective info. yet with no the power to technique such details, desktops can't be anticipated to speak with people in a normal manner. the facility to acknowledge and show a?ect is without doubt one of the most vital good points of - guy beings. We accordingly anticipate that pcs will finally need to have the power to procedure a?ect and to engage with human clients in ways in which are just like these during which people have interaction with one another. A?ective computing and clever interplay is a key rising know-how that makes a speciality of m- iad points of the popularity, knowing, and expression of a?ective and emotional states by way of desktops. the subject is at the moment a hugely lively examine quarter and is receiving expanding realization. This powerful curiosity is pushed by means of a large spectrum of promising purposes comparable to digital fact, community video games, clever surveillance, perceptual interfaces, and so forth. A?ective computing and clever interplay is a multidisciplinary subject, concerning psychology, cognitive technological know-how, body structure and laptop technology. ACII 2005 supplied a discussion board for scientists and engineers to switch their technical effects and stories during this fast-moving and intriguing ?eld. a complete of forty five oral papers and eighty two poster papers integrated during this quantity have been chosen from 205 c- tributionssubmittedbyresearchersworldwide.

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Additional resources for Affective Computing and Intelligent Interaction: First International Conference, ACII 2005, Beijing, China, October 22-24, 2005. Proceedings

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Cn Abstract. Active Shape Model (ASM) is one of the most powerful statistical tools for face image alignment. In this paper, we propose a novel method, called Bunch-Active Shape Model (Bunch-ASM), based on the standard ASM, to automatically locate facial feature points in Face Recognition. In Bunch-ASM, eyes are localized by a face detector and the matching strategy used in Elastic Bunch Graph Matching (EBGM) is introduced. Experimental results prove that the Bunch-ASM performs much better than the standard ASM and the ASM with irisrefinement.

2002) 523–528 10. : Face Recogniton by Elastic Bunch Graph Matching. IEEE Trans. On PAMI. 19 No. 7. (1997) 775–779 11. : Application of the Karhunen-Loeve procedure for the haracterization of human faces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 12 No. 1. (1990) 103–108 12. : Enhance the Alignment Accuracy of Active Shape Models Using Elastic Graph Matching. ICBA’04. (2004) 52–58 Facial Signs of Affect During Tutoring Sessions Dirk Heylen1 , Mattijs Ghijsen2 , Anton Nijholt1 , and Rieks op den Akker1 1 2 University of Twente University of Amsterdam, The Netherlands Abstract.

Asks for clarification P. repeatedly does not understand S. P. does not respond to what S. says P. says something unexpected S. asks P. to do something S. gives P. more information P. pulls up her sleeve P. puts arm on the table S. disinfects the arm S. finished disinfecting S. injects the medicine S. finished injecting the medicine OTHER smile brows mouth frown nod tilt head up down back 2 2 1 1 1 1 1 1 1 4 1 7 2 3 1 1 2 2 1 2 2 1 2 1 1 1 1 A second class of situations that brings forth expressions on the face contains the cases where the student manipulates the haptic device.

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