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Multimodal Signals: cognitive and Algorithmic Issues
- Pages: 346
- Author(s): A. Esposito, A. Hussain, M. Marinaro and R. Martone
- Publisher(s): Springer
- http://www.springer.com/computer/artificial/book/978-3-642-00524-4
- ISBN/ISSN: 978-3-642-00524-4
This volume brings together the peer-reviewed contributions of the participants at the COST 2102 and euCognition International Training School on “Multimodal Signals: Cognitive and Algorithmic Issues”.
The main theme of the school was to investigate the mathematical and psychological tools for modelling human-machine interaction through access to a graded series of tasks for measuring the amount of adjustment (as well as intelligence and achievement) needed for introducing new concepts in the information communication technology domain in order to develop adaptive, socially enable and human-centered automatic systems able to serve remote applications in medicine, learning, care, rehabilitation, and for accessibility to work, employment, and information.