Author, institution: Saulius Niauronis, Kaunas University of Technology
Science area, field: Technological Sciences, Electrical and Electronic Engineering
The Doctoral Dissertation is available at the library of Kaunas University of Technology (K. Donelaičio St. 20, Kaunas).
Scientific Supervisor:
Prof. Dr. Habil. Arūnas LUKOŠEVIČIUS (Kaunas University of Technology, Technological Sciences, Electrical and Electronic Engineering – 01T).
Scientific Advisor:
Prof. Dr. Habil. Vincas LAURUTIS (Šiauliai University, Technological Sciences, Electrical and Electronic Engineering – 01T).
The Dissertation Defence Board of Electrical and Electronic Engineering Science Field:
Prof. Dr. Arminas RAGAUSKAS (Kaunas University of Technology, Technological Sciences, Electrical and Electronic Engineering – 01T) – chairman;
Prof. Dr. Habil. Aleksandr BULATOV (Lithuanian University of Health Sciences, Biomedical Sciences, Biology – 01B);
Prof. Dr. Gintautas DAUNYS (Šiauliai University, Technological Sciences, Electrical and Electronic Engineering – 01T);
Assoc. Prof. Dr. Vidas RAUDONIS (Kaunas University of Technology, Technological Sciences, Informatics Engineering – 07T).
Annotation:
Vision is a sensory system, but eye movements are involved in execution of motoric tasks. This is why eye and hand movements are linked closely in a neurophysiologic level. Until now, the system of eye and hand coordination control was mostly investigated during tasks of grasping or pursuing the object. However, in real-life, tasks of manual manipulation are even more common. In these, visual system has double purpose – planning and supervision of hand movements. In this work, eye and hand coordination during manual guiding, was investigated. Experimental trials of guiding hand-moved object through visible paths allowed to observe eye movements similar to smooth pursuit with catch-up saccades. Comprehensive review of previous research has led to hypothesis that neurophysiological smooth pursuit system is being used not only for pursuit, but also for guiding. Furthermore, that guiding eye movement system can be modeled by expanding the models of smooth pursuit control system. Experimental data was used to model, fit and verify eye and hand coordination system. Obtained model simulates human behavior adequately (the characteristics of synthetic and experimental signal correlation is 0.92). The neurophysiology of eye and hand coordination is explained basing on an analysis of differences of smooth pursuit and guiding eye movements and on other knowledge on human neurophysiology. Obtained knowledge introduce new parameters while creating human-computer interaction, visual and neurophysiological disorder early diagnostic and human peculiarity assessment methods, based on eye movement analysis.
