Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/3023
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. |
metadata.dc.contributor.other: | Τσαπατσούλης, Νικόλας | Keywords: | Neural networks (Computer science)--Congresses | Issue Date: | 2001 | 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: | https://hdl.handle.net/20.500.14279/3023 | ISBN: | 978-3-540-42486-4 | DOI: | 10.1007/3-540-44668-0_146 | Rights: | © Springer | Type: | Book Chapter | Affiliation : | National Technical University Of Athens |
Appears in Collections: | Κεφάλαια βιβλίων/Book chapters |
Files in This Item:
File | Description | Size | Format | |
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Tsapatsoulis_A Neural Network-Based Approach.pdf | 2.51 MB | Adobe PDF | View/Open |
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