Recognition of Human Emotions in Reasoning Algorithms of Wheelchair Type Robots

This paper analyses the possibilities of integrating different technological and knowledge representation techniques for the development of a framework for the remote control of multiple agents such as wheelchair-type robots. Large-scale multi-dimensional recognitions of emotional diagnoses of disabled persons often generate a large amount of multi-dimensional data with complex recognition mechanisms, based on the integration of different knowledge representation techniques and complex inference models. The problem is to reveal the main components of a diagnosis as well as to construct flexible decision making models. Sensors can help record primary data for monitoring objects. However the recognition of abnormal situations, clustering of emotional stages and resolutions for certain types of diagnoses is an oncoming issue for bio-robot constructors. The prediction criteria of the diagnosis of the emotional situations of disabled persons are described using knowledge based model of Petr...

• Type: Journal
• Year: 2010
• Where: INFORMATICALT
• Authors: Dale Dzemydiene, Antanas Andrius Bielskis, Arunas Andziulis, Darius Drungilas, Gediminas Gricius
• Keywords: Communications, Disabled Persons, INFORMATICALT 2010, Knowledge Representation Techniques, Petri Nets