Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/127
Title: A Neural-Network-Based Approach to Adaptive Human Computer Interaction
Authors: Votsis, George 
Doulamis, Nikolaos D. 
Doulamis, Anastasios D. 
Tsapatsoulis, Nicolas 
Kollias, Stefanos D. 
Keywords: Neural networks (Computer science)--Congresses
Issue Date: 2001
Publisher: Springer Berlin / Heidelberg
Source: Artificial Neural Networks — ICANN 2001, pp.1054-1059
Series/Report no.: Lecture Notes in Computer Science;
Abstract: A neural-network-based approach is proposed in this paper providing multimedia systems with the ability to adapt their performance to the specific needs and characteristics of their users. An emotion recognition system based on facial cues is used to illustrate the performance of this approach. Although some archetypal emotions are considered to be universal, there is no doubt that the way they are expressed diversifies from one individual to the other. The initial generic system is adapted in order to meet the specific user’s traits.
Description: International Conference on Artificial Neural Networks (European Neural Network Society)
URI: http://ktisis.cut.ac.cy/handle/10488/127
ISBN: 978-3-540-42486-4
DOI: 10.1007/3-540-44668-0_146
Rights: © Springer
Type: Book Chapter
Appears in Collections:Κεφάλαια βιβλίων/Book chapters

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