Determining importance of physiological parameters and methods of their evaluation for classification of pilots psychophysiological condition

Hanakova, Lenka; Socha, Vladimír; Socha, Luboš; Szabó, Stanislav; Kozuba, Jarosław; Lališ, Andrej; Vittek, Peter; Kraus, Jakub; Rozenberg, Róbert; Káľavský, Peter; Novák, Martin; Schlenker, Jakub; Kusmirek, Stanislav

doi:10.1109/miltechs.2017.7988810

Cited by 9 publications

(3 citation statements)

References 19 publications

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“…It seems that the level of pilot training and the level of pilot's aviation experience affected his/her mental and physical state during the flight. Previous studies [4,5,6,7,8,9] also confirmed that pilots' psychophysiological parameters provide information about mental and physical condition.…”

Section: Introductionsupporting

confidence: 56%

“…Many foregoing studies [7,8,9,13] processed measured data by standard methods. This paper is oriented towards description and comparison of the most common methods for physiological parameters assessment (from time domain, frequency domain and non-parametric methods) and also describes a wavelet transform, method that analyses heart rate signal both in time and frequency domain.…”

Section: Introductionmentioning

confidence: 99%

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Pilots psychophysiological condition assesment

Serlova¹,

Bergh²,

Socha³

et al. 2018

MAD

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Due to increasing safety standards in air transport, the emphasis is put on human factors in this domain. This regards especially the improvement of piloting precision during flight training and the elimination of internal and external influences with negative effect on pilots. This paper is focused on evaluation of pilot’s psychophysiological state during flight training on a simulator and in an aircraft and also on pilot’s reaction on transfer from analogue to digital visual presentation of avionic data. The best indicator for evaluating human’s psychophysiological condition could be a heart rate because of its descriptive activity of human heart and its psychophysiological character based on sympathovagal balance of autonomic nervous system. In this paper heart rate frequency is measured by FlexiGuard biotelemetry mobile device and by a Garmin c chest belt. This paper is oriented towards description and comparison of the most common methods for physiological parameters assessment, i.e. time and frequency domain analysis and non-parametric methods analysis. The paper also describes a wavelet transform. The results show that not every parameter resulting from each analysis could be a good indicator describing pilot’s stress. Results also show which parameters might work as good indicators of pilot’s stress – those are LF/HF ratio and parameters measured by wavelet transform. Best way to define pilot’s stress on simulators in real time indicates to be wavelet.

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Section: Introductionsupporting

confidence: 56%

Section: Introductionmentioning

confidence: 99%

Pilots psychophysiological condition assesment

Serlova¹,

Bergh²,

Socha³

et al. 2018

MAD

View full text Add to dashboard Cite

show abstract

“…Furthermore, learning-based classifiers have also been used to detect high and low anxiety in drivers from ECG and accelerometer data (Dobbins and Fairclough, 2018), or to create a virtual driving platform to maximize engagement in people with autism spectrum disorder (Bian et al, 2019). Applications for airplane pilots used classifiers to identify features from EEG and skin response signals that can model the users in scenarios of attention-related human performance limiting states (Harrivel et al, 2016) or to find relationships of cardiovascular features with psychophysiological stress while performing piloting maneuvers (Hanakova et al, 2017). To the best of our knowledge, this is the first project that aims at characterizing psychophysiological responses of police officers on duty for designing biocybernetic loops in VR firearms training.…”

Section: Related Workmentioning

confidence: 99%

A Psychophysiological Model of Firearms Training in Police Officers: A Virtual Reality Experiment for Biocybernetic Adaptation

et al. 2020

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Crucial elements for police firearms training include mastering very specific psychophysiological responses associated with controlled breathing while shooting. Under high-stress situations, the shooter is affected by responses of the sympathetic nervous system that can impact respiration. This research focuses on how frontal oscillatory brainwaves and cardiovascular responses of trained police officers (N = 10) are affected during a virtual reality (VR) firearms training routine. We present data from an experimental study wherein shooters were interacting in a VR-based training simulator designed to elicit psychophysiological changes under easy, moderate and frustrating difficulties. Outcome measures in this experiment include electroencephalographic and heart rate variability (HRV) parameters, as well as performance metrics from the VR simulator. Results revealed that specific frontal areas of the brain elicited different responses during resting states when compared with active shooting in the VR simulator. Moreover, sympathetic signatures were found in the HRV parameters (both time and frequency) reflecting similar differences. Based on the experimental findings, we propose a psychophysiological model to aid the design of a biocybernetic adaptation layer that creates real-time modulations in simulation difficulty based on targeted physiological responses.

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Evaluating the reduced flight deck crew concept using cognitive work analysis and social network analysis: comparing normal and data-link outage scenarios

2019

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The aim of the present paper is to demonstrate how a subset of methods from Cognitive Work Analysis (CWA) in combination with Social Network Analysis (SNA) can be used to analyse the effects of a reduced crew in a legacy system of a commercial airliner's two-pilot-crew operations. Whereas existing research approaches have used different methodological approaches such as classical workload evaluations, we focus on social organisation and cooperation at early conceptual design stages. A case study of Reduced-Crew Operations (RCO) in commercial aviation highlights how Work Domain Analysis, Control Task Analysis and Social Organization and Cooperation Analysis were applied to allocate functions and identify future automation requirements. Furthermore, the SNA shows the possible interactions in future RCO. The effect of technological failure on the network architecture's resilience is also explored. A proposal on how to react to a data-link outage and break-up in RCO is made with respect to limitations in technology. In this way, the work can foster identifying automation requirements and related possible failures at early stages in the design process.

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Determining importance of physiological parameters and methods of their evaluation for classification of pilots psychophysiological condition

Cited by 9 publications

References 19 publications

Pilots psychophysiological condition assesment

Pilots psychophysiological condition assesment

A Psychophysiological Model of Firearms Training in Police Officers: A Virtual Reality Experiment for Biocybernetic Adaptation

Evaluating the reduced flight deck crew concept using cognitive work analysis and social network analysis: comparing normal and data-link outage scenarios

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