Research and Parameter Optimization of the Pattern Recognition Algorithm for the Eye Tracking Infrared Sensor

Murawski, K.; Różanowski, K.; Krej, Mariusz

doi:10.12693/aphyspola.124.513

Cited by 12 publications

(6 citation statements)

References 18 publications

(4 reference statements)

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“…Both parameters are characterized by the strongest correlations with the declared subjective fatigue levels as well as with the reference parameter, i.e. the pupillary unrest index (PUI) [20]. As clearly shown in Fig.…”

Section: Resultsmentioning

confidence: 76%

Rheological model of dynamic pupillary reflex in the assessment of the level of autonomic nervous system activation

Różanowski¹,

Truszczyński²,

Lewandowski³

et al. 2016

WIT Transactions on Engineering Sciences

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The aim of this publication was to adapt a rheological model of Kelvin-Voigt in the description of the dynamic pupillary reflex. The pupillary reflex presents the results of physiological adaptation mechanisms in the human eye, i.e. response of the iris to the changing intensity of light falling on the retina under the condition of sensory deprivation. Pupillary light reflex (PLR) is a closed loop nerve reflex.The new approach to PLR evaluation presented by the authors consists of adapting the Kelvin-Voigt model to the description of this phenomenon. The authors, for their tests of correct implementation of the model, used data from pilot studies. Research was performed on a group of 10 volunteers in a laboratory environment, at night. The mean age of the study participants was 27 ± 0.4 years. For PLR registration, the F²D Fit-For-Duty system was used .The system provides useful data for shift work or for personnel in high-risk careers.The PLR measurements were taken for both eyes, which were exposed to a series of five flashes at 30-second intervals. The whole measurement of both eyes was conducted with patients wearing goggles, in order to maintain the same measurement conditions, mostly with regard to accommodation.Owing to proper implementation of the model, we managed to attain a high level of its adaptation to real data (>90%). The results show their strong correlation, and the model shows high sensitivity to changes in the shape of the reflex curve, caused by sleep deprivation introduced in the experiment.

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Section: Resultsmentioning

confidence: 76%

Rheological model of dynamic pupillary reflex in the assessment of the level of autonomic nervous system activation

Różanowski¹,

Truszczyński²,

Lewandowski³

et al. 2016

WIT Transactions on Engineering Sciences

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“…The presented technique was used to measure the amplitude and frequency of vibration of the at membrane as well as the construction of a video-manometer. According to the author, this technique can also be used in control systems with video feedback, control and data transferring systems using the phenomenon of image blur as well as object tracking systems of dierent classes [22,23].…”

Section: Results Of Researchmentioning

confidence: 99%

Method of Measuring the Distance to an Object Based on One Shot Obtained from a Motionless Camera with a Fixed-Focus Lens

Murawski

2015

Acta Phys. Pol. A

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The paper presents the method of measuring the distance to the object based on digital image processing. The solution is characterized in that the distance measurement to the object is performed by a motionless camera with established and unchanged parameters during measurement. The camera is equipped with a one non-stereoscopic lens. The measured distance is determined on the basis of one view of an object presented on one image. The image is made at a constant and invariant setting of the optical path such as: focus, aperture and focal length.

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“…The method of Specific Emitter Identification is based on extraction of distinctive features and further on the analysis and pattern recognition [8,9]. In the process of signal acquisition there is too much information.…”

Section: Methods Of Data Clustering In Sei Aspectmentioning

confidence: 99%

Specific emitter identification based on graphical representation of the distribution of radar signal parameters

Dudczyk¹,

Kawalec²

2015

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. The article presents some possibilities of same type radar copies identification with the use of graphical representation. The procedure described by the authors is based on transformation and analysis of basic parameters distribution which are measured by the radar signal especially Pulse Repetition Interval. A radar intercept receiver passively collects incoming pulse samples from a number of unknown emitters. Information such as Pulse Repetition Interval, Angle of Arrival, Pulse Width, Radio Frequency and Doppler shifts are not usable. The most important objectives are to determine the number of emitters present and classify incoming pulses according to emitters. To classify radar emitters and precisely identification the copy of the same type of an emitter source in surrounding environment, we need to explore the detailed structure i.e. intra-pulse information, unintentional radiated electromagnetic emission and fractal features of a radar signal. An emitter has its own signal structure. This part of radar signal analysis is called Specific Emitter Identification. Utilization of some specific properties of electronic devices can cause heightening probability of a correct identification.

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Research and Parameter Optimization of the Pattern Recognition Algorithm for the Eye Tracking Infrared Sensor

Cited by 12 publications

References 18 publications

Rheological model of dynamic pupillary reflex in the assessment of the level of autonomic nervous system activation

Rheological model of dynamic pupillary reflex in the assessment of the level of autonomic nervous system activation

Method of Measuring the Distance to an Object Based on One Shot Obtained from a Motionless Camera with a Fixed-Focus Lens

Specific emitter identification based on graphical representation of the distribution of radar signal parameters

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