National Repository of Grey Literature 17 records found  1 - 10next  jump to record: Search took 0.01 seconds. 
Eyetracking for traffic analysis
Veselá, Cindy ; Němcová, Andrea (referee) ; Janoušek, Oto (advisor)
This bachelor thesis deals with the analysis of eye movement during solving traffic situations using eyetracker. The theoretical part describes eye anatomy and the types eye movement. It also explains methods of how eye movement is tracked with a focus on eye-tracking methods. Practical part contains two programs and record of eye movement of drivers. The first program records eye movement during traffic observation in videos, the second program visualizes eye movement in displayed videos. It was examined parameters of eye movement, which could lead to differentiation of drivers according to their experience.
The influence of eye movement on postural stability
Míková, Monika ; Kolářová, Jana (referee) ; Němcová, Andrea (advisor)
The Bachelor thesis discusses the influence of eye movement on postural stability. Thesis includes problematics of postural stability, physiology of sight, oculomotoric and measuring of eye movement via electrooculography method. Postural stability is measured with Wii Balance Board, which records antero-posterior and medio-lateral displacement of the COP position. Eye movements are measured with Biopac system, its output is EOG. Ten people were involved in this study. Parameters were calculated from stabilometric signal and from EOG. Results were procesed statistically.
Focusation of eyes on characteristic component of visual perception.
Fejgl, Martin ; Kolářová, Jana (referee) ; Janoušek, Oto (advisor)
This master’s thesis deals with muscles physiology of eye movement and questions of surface electromyography measurement. Physiology and analysis of eye movement are described here. Furthermore the paper deals with a variety of electrooculographic measuring techniques and also with resulting evaluation of measured signal.
Electrooculography for marketing
Fajmon, František ; Ronzhina, Marina (referee) ; Janoušek, Oto (advisor)
This thesis deals with EOG analysis and evaluation for marketing studies. Basic anatomy a physiology of the eye is discussed. Practical part is deal optimal method for trajectory vizualization. In this work description of algorithm are shown. This algorithm is realized in Matlab workspace. In this work is included an evaluation of the content analysis of graphical outputs, generated from EOG measured.
Three-dimensional kinematics of eye movements
Stodola, Marek ; Velan, Petr (referee) ; Hrdina, Jaroslav (advisor)
The goal of this thesis is to describe eye movements and general eye position using apparatus of geometric algebra. The introduction covers the theory about the appropriate geometric algebra, followed by the classifications of the eye movements and the terms used to describe these movements. Following this, the calculations that describe eye position derived from a single observed point are listed, for distant and close points. In addition, the possible eye movements in respect to the axis in which an eye can rotate is described, for any general position. All the calculations are based on Donders' law and Listing's law.
Modelling eye movements during Multiple Object Tracking
Děchtěrenko, Filip ; Lukavský, Jiří (advisor) ; Toth, Peter Gabriel (referee)
In everyday situations people have to track several objects at once (e.g. driving or collective sports). Multiple object tracking paradigm (MOT) plausibly simulate tracking several targets in laboratory conditions. When we track targets in tasks with many other objects in scene, it becomes difficult to discriminate objects in periphery (crowding). Although tracking could be done only using attention, it is interesting question how humans plan their eye movements during tracking. In our study, we conducted a MOT experiment in which we presented participants repeatedly several trials with varied number of distractors, we recorded eye movements and we measured consistency of eye movements using Normalized scanpath saliency (NSS) metric. We created several analytical strategies employing crowding avoidance and compared them with eye data. Beside analytical models, we trained neural networks to predict eye movements in MOT trial. The performance of the proposed models and neuron networks was evaluated in a new MOT experiment. The analytical models explained variability of eye movements well (results comparable to intraindividual noise in the data); predictions based on neural networks were less successful.
Pathophysiology and clinical aspects of eye movements in basal ganglia disorders.
Hanuška, Jaromír ; Růžička, Evžen (advisor) ; Vymazal, Josef (referee) ; Jeřábek, Jaroslav (referee)
This dissertation is a collection of a total of seven publications that deal with eye movement disorders in patients with basal ganglia disorders. We obtained normative data for videooculography in healthy individuals. We have described the eye movement evolution during a human life such as the increase of latency, movements become hypometric and antisaccadic error rate increases. We have shown that sex and education do not affect the eye movements. Our study highlighted the asymmetry in the eye movement performance. As the first, we studied the vergence in patients with Parkinson's disease (PN) using videooculography (VOG). We devised and defined a paradigm for this examination and saw that in patients with PN there is a prolonged latency and hypometry of divergence. In patients with ephedrone induced parkinsonism (EP), we were the first who examined eye movements and found that it was possible to identify between this toxic Parkinson's syndrome and PN on the basis of a videooculography. In EP patients, we described velocity decsrease and hypometry in horizontal saccades, prolonged latency in horizontal saccades, and higher error rate in the antisacadic task. Behavioral disorder in REM sleep (RBD) as a prodromal stage of PN leads to impaired eye movement. In the evaluation with PN patients, we...
Eyetracking for traffic analysis
Veselá, Cindy ; Němcová, Andrea (referee) ; Janoušek, Oto (advisor)
This bachelor thesis deals with the analysis of eye movement during solving traffic situations using eyetracker. The theoretical part describes eye anatomy and the types eye movement. It also explains methods of how eye movement is tracked with a focus on eye-tracking methods. Practical part contains two programs and record of eye movement of drivers. The first program records eye movement during traffic observation in videos, the second program visualizes eye movement in displayed videos. It was examined parameters of eye movement, which could lead to differentiation of drivers according to their experience.
Ideal Bayesian Observer with reduced detectability map
Amemori, Josef ; Děchtěrenko, Filip (advisor) ; Brom, Cyril (referee)
Title: Ideal Bayesian Observer with reduced detectability map Author: Josef Amemori Department: Department of Software and Computer Science Education Supervisor: Mgr. Filip Děchtěrenko, Department of Software and Computer Science Education Abstract: A computational modeling of the human vision is a challenging task. In recent years, a biologically inspired model Ideal Bayesian Observer was created for the visual search task (Najemnik & Geisler, 2005). The model predicts eye movements when searching for Gabor patch in 1/f noise. In their work, they observed similarity between distributions of fixations and saccades predicted by Ideal Bayesian Observer and distributions of fixations and saccades from a human observer. In this work, we have implemented Ideal Bayesian Observer with degenerated visual field and compared the model with behavior of a human. Keywords: Ideal Bayesian Observer, eye movements, modeling, central scotoma
Metrics for eye movements comparisons
Kocián, Matěj ; Děchtěrenko, Filip (advisor) ; Vodrážka, Jindřich (referee)
Measurement of eye movements is becoming a well established part of expe- rimental research in many areas (such as human-computer interaction, cognitive psychology and others). Then usually a need arises to mutually compare the eye movements. Many different metrics have been suggested for this purpose, but what is missing is a comparison of these metrics and consequently an agreement on the ones that should be used in specific cases. In this thesis we describe some commonly used metrics and then create a model of smooth pursuit eye move- ments. We subsequently use this model to compare the ability of Levenshtein metric, Normalized Scanpath Saliency for dynamic scenes and discrete Fréchet distance to recognise similarity between the original eye movement trajectory and its modified copy. 1

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