Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150646
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dc.contributor.authorWee, Hong Jieen_US
dc.contributor.authorLye, Sun Wohen_US
dc.contributor.authorPinheiro, Jean-Philippeen_US
dc.date.accessioned2021-08-03T13:45:46Z-
dc.date.available2021-08-03T13:45:46Z-
dc.date.issued2019-
dc.identifier.citationWee, H. J., Lye, S. W. & Pinheiro, J. (2019). An integrated highly synchronous, high resolution, real time eye tracking system for dynamic flight movement. Advanced Engineering Informatics, 41, 100919-. https://dx.doi.org/10.1016/j.aei.2019.100919en_US
dc.identifier.issn1474-0346en_US
dc.identifier.other0000-0003-0737-4358-
dc.identifier.urihttps://hdl.handle.net/10356/150646-
dc.description.abstractElectronic surveillance systems are being used rapidly today, ranging from a simple video camera to a complex biometric surveillance system for facial patterns and intelligent computer vision based surveillance systems, which are applied in many fields such as home monitoring, security surveillance of important places and mission critical tasks like air traffic control surveillance. Such systems normally involve a computer system and a human surveillance operator, who looks at the dynamic display to perform his surveillance tasks. Exploitation of shared information between these physical heterogeneous data capture systems with human operated functions is one emerging aspect in electronic surveillance that has yet to be addressed deeply. Hence, an innovative interaction interface for such knowledge extraction and representation is required. Such an interface should establish a data activity register frame which captures information depicting various surveillance activities at a specified spatial and time reference. This paper presents a real time eye tracking system, which integrates two sets of activity data in a highly dynamic changing and synchronous manner in real-time with respect to both spatial and time frames, through the “Dynamic Data Alignment and Timestamp Synchronisation Model”. This model matches the timestamps of the two data streams, aligns them to the same spatial reference frame before fusing them together into a data activity register frame. The Air Traffic Control (ATC) domain is used to illustrate this model, where experiments are conducted under simulated radar traffic situations with participants and their radar input data. Test results revealed that this model is able to synchronise the timestamp of the eye and dynamic display data, align both of these data spatially, while taking into account dynamic changes in space and time on a simulated radar display. This system can also distinguish and show variations in the monitoring behaviour of participants. As such, new knowledge can be extracted and represented through this innovative interface, which can then be applied to other applications in the field of electronic surveillance to unearth monitoring behaviour of the human surveillance operator.en_US
dc.description.sponsorshipEconomic Development Board (EDB)en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.language.isoenen_US
dc.relation.ispartofAdvanced Engineering Informaticsen_US
dc.rights© 2019 Elsevier Ltd. All rights reserved.en_US
dc.subjectEngineering::Aeronautical engineeringen_US
dc.titleAn integrated highly synchronous, high resolution, real time eye tracking system for dynamic flight movementen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.identifier.doi10.1016/j.aei.2019.100919-
dc.identifier.scopus2-s2.0-85065593612-
dc.identifier.volume41en_US
dc.identifier.spage100919en_US
dc.subject.keywordsInnovative Interaction Interfaceen_US
dc.subject.keywordsKnowledge Extraction and Representationen_US
dc.description.acknowledgementThis research is funded by Thales Solutions Asia Pte Ltd, under the Economic Development Board, Industrial Postgraduate Programme, with Nanyang Technological University, Singapore. The authors would like to acknowledge and thank the staff at Thales LAS France SAS, Thales Solutions Asia Pte Ltd, Singapore and Air Traffic Management Research Institute of Nanyang Technological University, Singapore for their contributions and support towards this work.en_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
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