Publikace UTB
Repozitář publikační činnosti UTB
The role of lie detection based system in controlling borders
Repozitář DSpace/Manakin
Kontaktujte nás | Jazyk: čeština English
- Domovská stránka DSpace
- →
- Článek ve sborníku
- →
- Fakulta aplikované informatiky
- →
- Zobrazit záznam
JavaScript is disabled for your browser. Some features of this site may not work without it.
| dc.title | The role of lie detection based system in controlling borders | en |
| dc.contributor.author | Sousedíková, Lucie | |
| dc.contributor.author | Malatinský, Adam | |
| dc.contributor.author | Drofová, Irena | |
| dc.contributor.author | Adámek, Milan | |
| dc.relation.ispartof | Annals of DAAAM and Proceedings of the International DAAAM Symposium | |
| dc.identifier.issn | 1726-9679 Scopus Sources, Sherpa/RoMEO, JCR | |
| dc.date.issued | 2021 | |
| utb.relation.volume | 32 | |
| utb.relation.issue | 1 | |
| dc.citation.spage | 384 | |
| dc.citation.epage | 388 | |
| dc.event.title | 32nd International DAAAM Symposium on Intelligent Manufacturing and Automation, DAAAM 2021 | |
| dc.event.location | Vienna | |
| utb.event.state-en | Austria | |
| utb.event.state-cs | Rakousko | |
| dc.event.sdate | 2021-10-28 | |
| dc.event.edate | 2021-10-29 | |
| dc.type | conferenceObject | |
| dc.language.iso | en | |
| dc.publisher | DAAAM International Vienna | |
| dc.identifier.doi | 10.2507/32nd.daaam.proceedings.056 | |
| dc.relation.uri | https://daaam.info/32nd-proceedings-2021 | |
| dc.relation.uri | https://www.daaam.info/Downloads/Pdfs/proceedings/proceedings_2021/056.pdf | |
| dc.subject | border control | en |
| dc.subject | deception detection | en |
| dc.subject | lie detection | en |
| dc.subject | analysis | en |
| dc.description.abstract | Security engineering refers to the latest techniques and methods used to protect large numbers of people concentrated in public crowded places every day. Such a new modern method represents the Intelligent Portable Border Control System (iBorderCtrl) based on lie detection. This paper describes and analyses this automated deception detection border security system developed mainly for airport security but also for the control of the land border crossing points as roads, walkways, or train stations. The system is built using advanced and high-performance deep learning models with the aim of effectively prevent any threats or potentially dangerous situations from arising or entering the country. © 2021 Danube Adria Association for Automation and Manufacturing, DAAAM. All rights reserved. | en |
| utb.faculty | Faculty of Applied Informatics | |
| dc.identifier.uri | http://hdl.handle.net/10563/1011220 | |
| utb.identifier.obdid | 43883187 | |
| utb.identifier.scopus | 2-s2.0-85123957351 | |
| utb.source | d-scopus | |
| dc.date.accessioned | 2023-01-06T08:03:41Z | |
| dc.date.available | 2023-01-06T08:03:41Z | |
| dc.description.sponsorship | IGA/CebiaTech/2021/004 | |
| utb.contributor.internalauthor | Sousedíková, Lucie | |
| utb.contributor.internalauthor | Malatinský, Adam | |
| utb.contributor.internalauthor | Drofová, Irena | |
| utb.contributor.internalauthor | Adámek, Milan | |
| utb.fulltext.affiliation | Lucie Sousedikova, Adam Malatinsky, Irena Drofova & Milan Adamek | |
| utb.fulltext.dates | - | |
| utb.fulltext.references | [1] Gallagher, R.. & Jona, L. (2019). We Tested Europe’s New Lie Detector for Travelers—And Immediately Triggered a False Positive. The Intercept. Available from: https://theintercept.com/2019/07/26/europe-border-control-ai-lie-detector/ Accessed: 2021/09/20 [2] Sánchez-Monedero, J. & Dencik, L. (2020): The politics of deceptive borders: ‘biomarkers of deceit’ and the case of iBorderCtrl, Information, Communication & Society, DOI 10.1080/1369118X.2020.1792530 [3] Holmes, M.; Latham, A.; Crockett, K. & O'Shea, J. D. (2017). "Near Real-Time Comprehension Classification with Artificial Neural Networks: Decoding e-Learner Non-Verbal Behavior," IEEE Transactions on Learning Technologies, Vol. 11, No. 1, pp. 5-12, 2018, DOI 10.1109/TLT.2017.2754497. [4] Rothwell, J.; Bandar, Z.; O'Shea, J. & McLean, D. (2006). Silent talker: A new computer-based system for the analysis of facial cues to deception. Applied Cognitive Psychology. 20. 757 - 777. 10.1002/acp.1204. [5] The iBorderCtrl (2020). Publications, Available from: Publications | iBorderCtrl Accessed: 2021/09/20 [6] The iBorderCtrl Consortium (2015). Intelligent Portable Control System, Available from: https://www.asktheeu.org/es/request/6087/response/19711/attach/4/8%20D3%202%20First%20version%20of%20tech%20tools%20and%20subsystems%20redacted.pdf?cookie_passthrough=1 Accessed: 2021-09-20 [7] The iBorderCtrl (2020). Outcomes, Available from: Publications | iBorderCtrl Accessed: 2021/09/20 [8] OrShea, J.; Crockett, K.; Khan, W.; Kindynis, P.; Antoniades, A. & Boultadakis, G. (2018). Intelligent Deception Detection through Machine Based Interviewing, Proceedings of International Joint Conference on Neural Networks, Rio de Janeiro, Brazil, ISSN 2161-4393, ISBN 978-1-5090-6014-6, pp 1-8, DOI 10.1109/IJCNN.2018.8489392 [9] The iBorderCtrl (2020). Technical Framework, Available from: Publications | iBorderCtrl Accessed: 2021/09/20 [10] Rodríguez Carlos-Roca, L.; Hupont Torres, I. & Fernandez, C.(2018). Facial recognition application for border control, Proceedings of International Joint Conference on Neural Networks, Rio de Janeiro, Brazil, ISSN 2161-4393, ISBN 978-1-5090-6014-6, pp 1-7, DOI 10.1109/IJCNN.2018.8489113 | |
| utb.fulltext.sponsorship | This work was supported by the Internal Grant Agency of Tomas Bata University in Zlin, the Department of Security Engineering, Faculty of Applied Informatics, under the project No. IGA/CebiaTech/2021/004. | |
| utb.fulltext.projects | IGA/CebiaTech/2021/004 | |
| utb.fulltext.faculty | - | |
| utb.fulltext.ou | - |
