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Detection of suspicious persons and special software

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dc.title Detection of suspicious persons and special software en Lyubymenko, Khrystyna Adámek, Milan Králík, Lukáš
dc.relation.ispartof Iberian Conference on Information Systems and Technologies, CISTI
dc.identifier.issn 2166-0727 OCLC, Ulrich, Sherpa/RoMEO, JCR
dc.identifier.isbn 9789899843479 2017
dc.event.title 12th Iberian Conference on Information Systems and Technologies, CISTI 2017
dc.event.sdate 2017-06-21
dc.event.edate 2017-06-24
dc.type conferenceObject
dc.language.iso en
dc.publisher IEEE Computer Society
dc.identifier.doi 10.23919/CISTI.2017.7975906
dc.subject Detecting suspicious persons en
dc.subject Physiological en
dc.subject Reading nonverbal communication en
dc.subject Stressful situation en
dc.description.abstract This paper contains a description of programs currently available for detecting physiological changes in the human reaction to a stressful situation. For each program described what is being evaluated, what we get like output of the program, advantages, disadvantages and potential contribution to commercial security. As alternative solutions are included training programs to help security personnel to detect suspicious persons and to assess if there is a real danger of some of them by reading the nonverbal communication. The aim is to show the potential benefits in the application of knowledge in reading nonverbal communication for commercial security industry. © 2017 AISTI. en
utb.faculty Faculty of Applied Informatics
utb.identifier.scopus 2-s2.0-85027222000
utb.source d-scopus 2017-09-14T09:00:52Z 2017-09-14T09:00:52Z
utb.contributor.internalauthor Lyubymenko, Khrystyna
utb.contributor.internalauthor Adámek, Milan
utb.contributor.internalauthor Králík, Lukáš
utb.scopus.affiliation Tomas Bata University in Zlin, Faculty of Applied Informatis, Zlin, Czech Republic
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