A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Visual surveillance by dynamic visual attention method
Pattern Recognition
Developing real-time multi-agent systems
Integrated Computer-Aided Engineering
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Drools JBoss Rules 5.0 Developer's Guide
Drools JBoss Rules 5.0 Developer's Guide
Talking agents design on the ICARO framework
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
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A natural way to interact with persons in Ambient Asssited Living (AAL) scenarios is through speech. Speech recognition techniques usually require of training for achieving good results. However, this training is not possible when different people can enter and leave. In these scenarios, the system should get information from the context, such as the state of the environment or previous dialogues, to support the speech recognition process. This is made in this work with Talking Agents. These are autonomous entities, with the ability to interact with each other and with other agents in the environment, and with the responsibility of interacting with persons through speech. They have a modular architecture to facilitate the application of different mechanisms and strategies, depending on the concrete AAL scenario.