Identification of drowsiness and alertness conditions by means of Spectral F-Test applied to pupillometric signals

Soares, Vitor C.; Souza, John Kennedy Schettino de; Ginani, Giuliano Emerenciano; Pompéia, Sabine; Tierra-Criollo, Carlos Júlio; Melges, Danilo Barbosa

doi:10.1088/1742-6596/477/1/012027

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…Pupillometry has also been used to differentiate between alertness and drowsiness (Soares et al, 2013 ). Alertness is associated with increased mean pupil diameter and decreases in standard deviation (i.e., stable), whereas drowsiness is associated with decreases in diameter, but increases in standard deviation (i.e., fluctuations) in pupil diameter (Morad et al, 2000 ; Wilhelm et al, 2009 ).…”

Section: Psychophysiological Measures To Assess Cognitive Statesmentioning

confidence: 99%

A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving

Lohani

Payne

Strayer

2019

Front. Hum. Neurosci.

224

181

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As driving functions become increasingly automated, motorists run the risk of becoming cognitively removed from the driving process. Psychophysiological measures may provide added value not captured through behavioral or self-report measures alone. This paper provides a selective review of the psychophysiological measures that can be utilized to assess cognitive states in real-world driving environments. First, the importance of psychophysiological measures within the context of traffic safety is discussed. Next, the most commonly used physiology-based indices of cognitive states are considered as potential candidates relevant for driving research. These include: electroencephalography and event-related potentials, optical imaging, heart rate and heart rate variability, blood pressure, skin conductance, electromyography, thermal imaging, and pupillometry. For each of these measures, an overview is provided, followed by a discussion of the methods for measuring it in a driving context. Drawing from recent empirical driving and psychophysiology research, the relative strengths and limitations of each measure are discussed to highlight each measures' unique value. Challenges and recommendations for valid and reliable quantification from lab to (less predictable) real-world driving settings are considered. Finally, we discuss measures that may be better candidates for a near real-time assessment of motorists' cognitive states that can be utilized in applied settings outside the lab. This review synthesizes the literature on in-vehicle psychophysiological measures to advance the development of effective human-machine driving interfaces and driver support systems.

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Section: Psychophysiological Measures To Assess Cognitive Statesmentioning

confidence: 99%

A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving

Lohani

Payne

Strayer

2019

Front. Hum. Neurosci.

224

181

View full text Add to dashboard Cite

show abstract

“…Figure 11(a) shows the pupil diameter, smoothened using sliding average method. Pupil diameter generally decreases and its fluctuations increase (i.e., more changes in pupil size) during drowsiness (Soares et al, 2013). Pupil diameter is relatively stable during alertness.…”

Section: Monitor Pilot's Alertness and Fatigue Levelsmentioning

confidence: 96%

Using Eye Tracking System for Aircraft Design – A Flight Simulator Study

2022

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The authors of this paper investigated applications of eye tracking in transport aircraft design evaluations. Piloted simulations were conducted for a complete flight profile including take-off, cruise and landing flight scenario using the transport aircraft flight simulator at CSIR-National Aerospace Laboratories. Thirty-one simulation experiments were carried out with three pilots/engineers while recording the ocular parameters and the flight data. Simulations were repeated for high workload conditions like flying with degraded visibility and during stall. Pilot’s visual scan behaviour and workload levels were analysed using ocular parameters; while comparing with the statistical deviations from the desired flight path. Conditions for fatigue were also recreated through long duration simulations and signatures for the same from the ocular parameters were assessed. Results from the study found correlation between the statistical inferences obtained from the ocular parameters with those obtained from the flight path deviations. The authors of this paper investigated an evaluator’s console that assists the designers or evaluators for better understanding of pilot’s attentional resource allocation.

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Evaluating Sleepiness

Hirshkowitz¹,

Sharafkhaneh²

2017

Principles and Practice of Sleep Medicine

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Identification of drowsiness and alertness conditions by means of Spectral F-Test applied to pupillometric signals

Cited by 3 publications

References 15 publications

A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving

A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving

Using Eye Tracking System for Aircraft Design – A Flight Simulator Study

Evaluating Sleepiness

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