One of the key parameters in the evaluation of disorders of consciousness (DOC) is visual behavior. In the past, visual potential testing or PET scanning was mainly used to assess these parameters. Recently, Eye Tracker (ET) technology for assessing visual functions has emerged; however, there are only a few publications devoted to the use of this technology in assessing people with disorders of consciousness (DOC). The purpose of this study was to evaluate the feasibility of using ET in the diagnosis of visual functioning in DOC patients. The study group consisted 25 patients (8 women and 17 men) awakened from prolonged post-traumatic coma in the Care and Treatment Facility of the "Light" Foundation in Toruń. The coma occurred as a result of severe brain damage: brain injury, stroke or sudden cardiac arrest. The mean age was 39.83 (SD 11.88) for the entire group, 38.85 (SD 9.99) for women, and 40.23 (SD 12.84) for men. All of these patients were in various states of disorders of consciousness (DOC), which was examined using the Coma Recovery Scale-Revised (CRS-R) (Giaciano et al., 2004). Appropriate inclusion and exclusion criteria were applied based on examinations by an internal medical physician and an ophthalmologist. Important exclusion criteria from the study were infection, elevated temperature, visual impairment and patient agitation. The visual functioning of the patients was measured with the use of the Eye Tracker Tobii X-120 device. A significant difference in visual functioning was demonstrated primarily in the areas of (1) reaction time to first fixation, where the Minimal Consciousness State minus (MCS-) group showed a significantly longer reaction time compared to the Minimal Consciousness State plus (MCS+) and the Emergency of Minimal Consciousness State (EMCS) groups; (2) fixation duration, where the MCS- group showed a longer time compared to patients in the MCS+ and EMCS groups; (3) the number of fixation points on the screen, where the MCS- group showed a significantly lower number of fixation points compared to the MCS+ and EMCS groups. Eye Tracker Tobii X-120 can serve as a valuable tool to aid in the neuropsychological diagnosis of individuals experiencing states of reduced consciousness. Indicators that most differentiate between the different levels of impaired consciousness include the time to the first fixation, the number of fixation points on the screen and the total number of fixations.
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W poprzednim odcinku cyklu omówiłem ogólne zagadnienia związane ze śledzeniem ruchów oczu oraz urządzenia do śledzenia tych ruchów (eyetrackery), których działanie opiera się na wykorzystaniu efektów elektromagnetycznych towarzyszących ruchom oczu [1]. Ten odcinek, kończący cały cykl, poświęcony jest śledzeniu ruchów oczu metodami optycznymi. Do metod tych należą: fotookulografia (photo-oculography, POG), wideookulografia (video-oculography, VOG), reflektometria rogówkowa i soczewkowo-rogówkowa (corneal reflectometry, CR), okulografia fotosensoryczna (photosensor oculography, PSOG).
Brain-Computer Interface (BCI) allows for non-muscular communication with external world, which may be the only way of communication for patients in a locked-in state. This paper presents a complete software framework for BCI, a novel hardware solution for stimuli rendering in BCIs based on Steady State Visual Evoked Potentials (SSVEP), and a univariate algorithm for detection of SSVEP in the EEG time series. OpenBCI is a complete software framework for brain-computer interfaces. Owing to an open license and modular architecture, it allows for flexible implementations of different communication channels in the serial or parallel hybrid mode, minimization of costs and improvements of stability and efficiency. Complete software is freely available from http://openbci.pl. BCI Appliance is a hardware solution that allows for dynamic control of menus with stable generation of stimuli for the SSVEP paradigm. The novelty consists of a design, whereby the LCD screen is illuminated from behind using an array of LEDs. Design pioneers also proposed a new line of thought about the user-centered design of BCI systems: a simple box with one on/off button, minimum embedded software, wireless connections to domotic and EEG acquisition devices, and user-controlled mode switching in a hybrid BCI.
This paper describes a set of visual tasks performed with a goal to find a correlation between observer's preoccupation and the observation time. Several aspects of objects differentiation were investigated: shape complexity, colour, uniqueness and size. Four visual tasks were performed by 10 volunteers. The eyeball position was captured with use of the OBER 2 eyetracker based on the infrared beam reflection measurements. Finally the recorded eyeball traces were subject of statistical processing. Interesting findings are the high attractiveness of complicated shapes and no influence of object's size on the observation time. Another result is an unexpected high inter-observers variation of attention difference in each visual task. The results play a key role in our research on perceptual model of biomedical signals and images. The other applications may be found in the area of visual information usability, ergonomics or perception-like control of automated visual systems.
The article presents studies which involve the way of perceiving complex scenes in the task of scenery analysis for their usefulness in the artificial intelligence methods. The studies were conducted using the eye-tracker SMI Red 500. A series of experiments was carried out on a group of people registering particular trajectories of attention. Observer’s task was to form a conclusion that would approve or disapprove the thesis that was formulated in the question concerning the presented scene. Next, the analysis of developed series of the scenery components was performed. Observations of the experiments’ results may significantly develop artificial intelligence algorithms used in processing and recognizing of images. The analyses of conducted measurements showed some differences in perception of complex scenes for particular persons that took part in experiment as well as some similarities and differences in same-sex groups.
PL
W artykule przedstawiono badania sposobu postrzegania scen złożonych w zadaniu analizy scenerii pod kątem wykorzystania ich użyteczności dla metod sztucznej inteligencji. Badania przeprowadzono z wykorzystaniem eye-trackera SMI Red 500. Serię eksperymentów przeprowadzono na grupie osób rejestrując poszczególne trajektorie atencji. Zadaniem obserwatora było sformułowanie konkluzji potwierdzającej lub odrzucającej tezę postawioną w pytaniu do przedstawionej sceny. Kolejno analizie poddano powstałe szeregi analizowanych komponentów scenerii. Obserwacje wyników eksperymentów mogą stanowić istotne rozwinięcie algorytmów sztucznej inteligencji wykorzystywanych w przetwarzaniu i rozpoznawaniu obrazów. Na podstawie analiz przeprowadzonych pomiarów stwierdzono różnice postrzegania scen złożonych dla poszczególnych osób biorących udział w eksperymencie, a także pewne podobieństwa i różnice w grupach tej samej płci.
The aim of this paper is to present a possible technological support for glottodidactic research. To do this the author shortly characterises eyetracking in relation to the humanities, especially glottodidactics. She introduces and describes the idea of experimental eyetracking glottodidactics on the basis of her own eyetracking research for EFL textbooks, and presents the basic results of the research and general conclusions.
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