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EN
The aim of the paper is to discuss research conducted at the Military University of Technology as well as the Military Institute of Aviation Medicine. The essence of the research is to develop a pattern recognition algorithm for the analysis of data received from an eye tracker sensor. Data analysis can be done using computer vision algorithms. In the article the state of the art pattern recognition algorithms were presented. Particular attention was paid to the possibilities and limitations of their use. The main part of the paper is the presentation of the author's pattern recognition algorithm. In the paper we have also shown the results obtained by other techniques of image processing, which are frequently used to determine the position of the pupil of the eye on the image.
EN
We present algorithm for Heart Rate detection based on Short-Term Autocorrelation Center Clipping method. This algorithm is dedicated for biological signal detection, electrocardiogram, in noisy environment with lot of artifacts. Using this algorithm is also possible detect the R pointers in the PQRST complex of the ECG signal. In this paper the new implementation of the heart rate variability estimation is also presented. HRV module is based on parametric and non-parametric methods of the power spectral density computation.
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EN
The paper presents the optical sensor which is built for EyeTracker operating in car harsh environment. The sensor is based on USB high speed video infrared camera. Additional hardware was designed for control and emission of infrared light as well. The designed hardware and software of the sensor are described in the paper. Some results of work, including video processing, are also presented.
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Optical Sensor to Monitor Pupillary Light Reflex

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EN
The aim of the paper is to describe design of an optical sensor intended to analyze pupillary light reflex. It also presents the results of physiological adaptation mechanisms in human eye, i.e. response of the iris to changes in the intensity of light that falls on the retina of the eye under conditions of sensory deprivation. Pupillary light reflex is a closed loop nerve reflex. It controls the amount of light that reaches the retina. Based on the test results, an optical sensor was designed, fabricated and correctly calibrated. In comparative tests with the use of F^2D Fit-For-Duty, a commercial system by AMTech, selected pupillographic parameters were primarily evaluated (baseline pupil diameter, oscillations, reflex latency, maximum reaction time, pupil constriction time, pupil dilation time, and constriction amplitude) under conditions of diminished alertness, reduced ability to concentrate, increasing fatigue, and drowsiness. The solution comes as part of a mobile pupillography device intended to be assembled in cars and airplanes to identify conditions of lower alertness, reduced ability to concentrate, increasing fatigue and drowsiness in drivers, pilots and traffic controllers, and to trigger alarm and preventive measures, if necessary.
EN
The paper presents the process and results of tests of the pattern recognition algorithm. The algorithm has been developed for the sensor to track the activity of the eyes. The study was conducted on a group of ten people. The group was selected, so that it was possible to determine the influence of gender, age, eye color, contact lenses and glasses on the result of the algorithm. The object of the study was also to optimize the pattern recognition algorithm in terms of CPU utilization. For this purpose the duration of the algorithm steps were measured as a function of the allocation of tasks to multiple processor cores.
EN
The aim of the publication is to describe the multifunctional optical sensor for analysis of dynamic pupillary light reflex developed by the authors which could be used as an objective indicator of human fatigue. The authors utilized knowledge gained from past experimental studies to develop a sensor, which along with custom software for detection of parameters of dynamic pupillary reflex provides a quick analysis of the human psychophysiological condition. Furthermore, the obtained parameters may also be utilized for medical purposes. The authors present the results of pilot studies prior to the development process of the sensory solution. The obtained result show that the type of light stimulation of the retina has a significant impact on the dynamic parameters of the pupillary reflex. The results played also an important role in shaping the structural assumptions of the sensor, so that it can serve as an indicator of the human fatigue level. The article includes results of experimental research conducted during the testing process of the sensor using various parameters of frequency light excitations, luminance and chrominance.
EN
This paper presents infrared sensor for eye tracking system for ophthalmology and truck drivers. System is based on camera and near infrared diode illuminator. We present test results of sensor detection at different operating parameters. Tests were chosen so as to see how the sensor behaves in difficult conditions, additionally tested whether long-term operation of the sensor has an impact on the examined person.
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