Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/4002
Title: | Health monitoring through an attention-based agent | Authors: | Tsapatsoulis, Nicolas | metadata.dc.contributor.other: | Τσαπατσούλης, Νικόλας | Major Field of Science: | Natural Sciences | Field Category: | Computer and Information Sciences | Keywords: | Image processing;Imaging systems;Patient monitoring;Brain--Models;User interfaces (Computer science) | Issue Date: | 2009 | Source: | 16th international conference on systems, signals and image processing, IWSSIP, 18-20 June 2009, Chalkida | Abstract: | In the majority of human-machine interaction applications the human model is considered the ideal prototype for machines. In this paper we present an attention-based model, inspired from the human brain, for constructing artificial agents. In this model, attention-required states are identified through irregular patterns and the agent behavior is adapted accordingly. A health-monitoring scenario using such attention-based agents is presented showing the efficiency of the proposed model | URI: | https://hdl.handle.net/20.500.14279/4002 | DOI: | 10.1109/IWSSIP.2009.5367722 | Rights: | ©2009 IEEE | Type: | Conference Papers | Affiliation : | Cyprus University of Technology |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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