Experimental Psychology (Russia)
2021. Vol. 14, no. 1, 204–222
doi:10.17759/exppsy.2021140110
ISSN: 2072-7593 / 2311-7036 (online)
Assessing the Aircraft Crew Activity Basing on Video Oculography Data
Abstract
General Information
Keywords: crew training level assessing, video oculography, Discriminant Analysis, Multidimensional Scaling, Cluster Analysis, oculomotor activity indexes.
Journal rubric: Psychology of Labor and Engineering Psychology
DOI: https://doi.org/10.17759/exppsy.2021140110
Funding. This work was performed as part of the “SAFEMODE” project (grant # 814961) with the financial support of the Ministry of Science and Higher Education of the Russian Federation (UID RFMEFI62819X0014 project)
For citation: Kuravsky L.S., Yuryev G.A., Zlatomrezhev V.I., Greshnikov I.I., Polyakov B.Y. Assessing the Aircraft Crew Activity Basing on Video Oculography Data. Eksperimental'naâ psihologiâ = Experimental Psychology (Russia), 2021. Vol. 14, no. 1, pp. 204–222. DOI: 10.17759/exppsy.2021140110.
References
- Barabanschikov V.A., Zhegallo A.V. Registraciya i analyz napravlennosty vzora cheloveka [Registration and analysis of the orientation of a person’s gaze]. Moscow Pub-l: Institute of psychology of the Russian Academy of Sciences, 2013, P. 316. (In Russ.).
- Zheltov S.Yu., Fedosov E.A., Chuyanov G.A., Zlatomregev V.I., Greshnikov I.I. etc. Patent No. 101331 Kompleks oborudovaniya (stend) prototipirovaniya interfeisa cabiny vozdushnogo sudna / Pravoobladateli FGUP GosNIIAS (Russia). Zayavka 2016500077; Zayav. 15.01.2016; Zaregistr. 15.12.2016.(ROSPATENT). (In Russ.).
- Krasil’shchikov M.N., Evdokimenkov V.N., Bazlev D.A. Individualno-adaptirovannye bortovye sistemy kontrolya tehnicheskogo sostoyaniya samlyota i podderzhki ypravlyayuschikh deistviy letchika [Individually adapted on-Board systems for monitoring the technical condition of the aircraft and supporting the pilot’s control actions]. Moscow: MAI Pub-l, 2011. P. 438. (In Russ.).
- Kuravsky L.S., Yuriev G.A. Svidetel’stvo o gosudarstvennoi registratsii programmy dlyaEHVM №2018660358 Intelligent System for Flight Analysis v1.0 (ISFA#1.0) / Pravoobladateli Kuravskii L.S., Yur’ev G.A. (Russia). Zayavka №2018617617; Zayav. 18.07.2018; Zaregistr.22.08.2018. (ROSPATENT). (In Russ.).
- Report on applied research on the topic “Development of human factor risk models and recommendations for creating a human-machine interface for the aircraft crew cabin” (intermediate), stage 1, State program of the Russian Federation “Development of the aviation industry for 2013-2025”, grant agreement dated 21.10.2019. No. 075-11-2019-018, state registration no. RFMEFI62819X0014. (In Russ.).
- Report on applied research on the topic “Development of human factor risk models and recommendations for creating a human-machine interface for the aircraft crew cabin” (final), stage 2, State program of the Russian Federation “Development of the aviation industry for 2013—2025”, grant agreement dated 21.10.2019. No. 075-11-2019-018, state registration no. RFMEFI62819X0014. (In Russ.).
- Kuravsky L.S., Yuryev G.A. A novel approach for recognizing abnormal activities of operators of complex technical systems: three non-standard metrics for comparing performance patterns, International Journal of Advanced Research in Engineering and Technology (IJARET), 11 (4), 2020, pp. 119—136. http://www. iaeme.com/IJARET/issues.asp?JType=IJARET&VType=11&IType=4. (Accessed 20.11.2020)
- Kuravsky L.S. Discriminant Analysis Based on the Approaches of Quantum Computing. Lobachevskii Journal of Mathematics, 2020, Vol. 41, no. 12, pp. 2338—2344.
- Kuravsky L.S., Yuryev G.A. The intelligent system to support condition monitoring for activities of operators of complex technical systems. — In: Proc. 16th International Conference on Condition Monitoring and Asset Management, Glasgow, UK, June 2019. DOI: 10.1784/cm.2019.108 17 pp.
- Kuravsky L.S., Yuryev G.A., Detecting Abnormal Activities of Operators of Complex Technical Systems and their Causes Basing on Wavelet Representations. International Journal of Civil Engineering and Technology (IJCIET), 10(2), 2019, pp. 724—742. http://www.iaeme.com/IJCIET/ issues.asp?JType=IJCIE T&VType=10&IType=2.
- Kuravsky L.S., Yuryev G.A., Zlatomrezhev V.I. New approaches for assessing the activities of operators of complex technical systems. Eksperimental’naya psikhologiya = Experimental psychology (Russia), 2019, vol. 12, no. 4, pp. 27—49. doi:10.17759/exppsy.2019120403.
- Kuravsky L.S., Yuryev G.A., Zlatomrezhev V.I., Yuryeva N.E. Assessing the Aircraft Crew Actions with the Aid of a Human Factor Risk Model. Eksperimental’naya psikhologiya = Experimental Psychology (Russia), 2020. Vol. 13, no. 2, pp. 153—181. DOI: https://doi.org/10.17759/ exppsy.2020130211.
- Aircraft trajectory clustering techniques using circular statistics. Yellowstone Conference Center, Big Sky, Montana, 2016. IEEE.
- Bastani V., Marcenaro L., Regazzoni C. Unsupervised trajectory pattern classification using hierarchical Dirichlet Process Mixture hidden Markov model // 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) / IEEE. 2014. Pp. 1—6.
- Enriquez M. Identifying temporally persistent flows in the terminal airspace via spectral clustering // Tenth USA/Europe Air Traffic Management Research and Development Seminar (ATM2013) / Federal Aviation Administration (FAA) and EUROCONTROL. Chicago, IL, USA: 2013. June 10-13.
- Enriquez M., Kurcz C. A Simple and Robust Flow Detection Algorithm Based on Spectral Clustering // International Conference on Research in Air Transportation (ICRAT) / Federal Aviation Administration (FAA) and EUROCONTROL. Berkeley, CA, USA: 2012. May 22—25.
- Faure C., Bardet J.M., Olteanu M., Lacaille J. Using Self-Organizing Maps for Clustering and Labelling Aircraft Engine Data Phases. In: WSOM (2017): 96—103.
- Gaffney S., Smyth P. Joint probabilistic curve clustering and alignment // In Advances in Neural Information Processing Systems. Vol. 17. Cambridge, MA: MIT Press, 2005. Pp. 473—480.
- Gaffney S., Smyth P. Trajectory clustering with mixtures of regression models // Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining. 1999. Pp. 63—72.
- Laxhammar R., Falkman G. Online learning and sequential anomaly detection in trajectories // IEEE Transactions on Pattern Analysis and Machine Intelligence. 2014. Vol. 36, no. 6. Pp. 1158—1173.
- Rintoul M., Wilson A. Trajectory analysis via a geometric feature space approach // Statistical Analysis and Data Mining: The ASA Data Science Journal. 2015.
- Wilson A., Rintoul M., Valicka C. Exploratory Trajectory Clustering with Distance Geometry // International Conference on Augmented Cognition /Springer. 2016. Pp. 263—274.
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