<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc='http://purl.org/dc/elements/1.1/' xmlns:oai_dc='http://www.openarchives.org/OAI/2.0/oai_dc/' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xsi:schemaLocation='http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd'>
<dc:creator>Borozan, O.</dc:creator>
<dc:date>2023</dc:date>
<dc:description xml:lang='en'><p>This thesis is an innovative approach aimed at improving the safety and efficiency of robotized processes by using the recognition of voice emotions, in order to manage emergencies. The main goal of this thesis is to develop a new safety system that allows identification and influences the functioning of the robotized system (stopping the system or placing it into the enhanced safety regime), depending on the emotional state of its user/human operator. There has been developed the chart classifying the phenomena that may entail emergencies, the human beings&rsquo; response to such emergencies, and the mathematical model that, being implemented in the architecture of a Neuronal Network, will generate command decisions for the robotized system.</p></dc:description>
<dc:source>Workshop on Intelligent Information Systems () 55-61</dc:source>
<dc:subject>vital safety system</dc:subject>
<dc:subject>robotic processes</dc:subject>
<dc:subject>emotions</dc:subject>
<dc:subject>speech processing</dc:subject>
<dc:subject>exceptional situations</dc:subject>
<dc:subject>Neural networks</dc:subject>
<dc:title>Safety System for Robotic Processes Based on Voice Emotion Recognition</dc:title>
<dc:type>info:eu-repo/semantics/article</dc:type>
</oai_dc:dc>