Gotowe bibliografie tematyczne / Eye movement

Gotowa bibliografia na temat „Eye movement”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 7 lipca 2024

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Artykuły w czasopismach na temat "Eye movement"

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Wang, Chang Yuan, Bing Yao, Hong Zhe Bi i Hong Bo Jia. "The Vestibular System Modeling in the Head and Eye Movement Research". Advanced Materials Research 605-607 (grudzień 2012): 2434–37. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2434.

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Head and eye movement is eye movement response to head movements ,the eyes are the signals generated by the vestibular system is movement.The vestibular system is important to feel the organs and tissues of the body movement,Can be said that the vestibular system response to head movement, eye movement associated with the vestibule.We can use eye movements comparing with normal eye movements to detect whether the dizziness,in this process the modeling of the vestibular system is very important.Paper summarizes the response of head and eye movement system, vestibular system in the head and eye movement systems vestibular system exercise and Research at home and abroad, raised modeling method of the head and eye movement system when turn the head.
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Steinman, R. M. "Eye movement". Vision Research 26, nr 9 (styczeń 1986): 1389–400. http://dx.doi.org/10.1016/0042-6989(86)90163-x.

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이윤형. "Eye movements and sentence processing: Review on eye movement measurement". Korean Journal of Cognitive and Biological Psychology 21, nr 2 (czerwiec 2009): 91–110. http://dx.doi.org/10.22172/cogbio.2009.21.2.003.

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Benson, Kathleen L. "Rapid Eye Movement Sleep Eye Movements in Schizophrenia and Depression". Archives of General Psychiatry 50, nr 6 (1.06.1993): 474. http://dx.doi.org/10.1001/archpsyc.1993.01820180076008.

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Kim, Ji-Eun, i David A. Nembhard. "Modeling the Effects of Time pressure and Feedback on Eye movements and Learning Performance". Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, nr 1 (wrzesień 2018): 671–75. http://dx.doi.org/10.1177/1541931218621152.

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Eye movement measurement is both non-invasive to the learner, and available at a cost that is steadily decreasing. There are currently several mainstream laptop computers on the market that ship with fully integrated eye-tracking. Eye movements will take on a role as inputs to predict individualized learning performance. In response to the increased usage of this tool, this study uses eye-tracking technology to investigate the effects of time pressure and feedback on changes in eye movement by generating structural models. We tracked participants’ eye movement, and to relate this eye movement to human learning behaviors while participants were asked to complete online training for a Project Management task. The study measured participants’ eye-movements in response to the amount of time to deadlines and feedback updating the remaining time. Results showed that eye movement partially mediated the relationship between time to deadline and task completion time. The results of the study will be advantageous in predicting individualized learning performance based on eye movements.
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El Hmimdi, Alae Eddine, Lindsey M. Ward, Themis Palpanas i Zoï Kapoula. "Predicting Dyslexia and Reading Speed in Adolescents from Eye Movements in Reading and Non-Reading Tasks: A Machine Learning Approach". Brain Sciences 11, nr 10 (11.10.2021): 1337. http://dx.doi.org/10.3390/brainsci11101337.

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There is evidence that abnormalities in eye movements exist during reading in dyslexic individuals. A few recent studies applied Machine Learning (ML) classifiers to such eye movement data to predict dyslexia. A general problem with these studies is that eye movement data sets are limited to reading saccades and fixations that are confounded by reading difficulty, e.g., it is unclear whether abnormalities are the consequence or the cause of reading difficulty. Recently, Ward and Kapoula used LED targets (with the REMOBI & AIDEAL method) to demonstrate abnormalities of large saccades and vergence eye movements in depth demonstrating intrinsic eye movement problems independent from reading in dyslexia. In another study, binocular eye movements were studied while reading two texts: one using the “Alouette” text, which has no meaning and requires word decoding, the other using a meaningful text. It was found the Alouette text exacerbates eye movement abnormalities in dyslexics. In this paper, we more precisely quantify the quality of such eye movement descriptors for dyslexia detection. We use the descriptors produced in the four different setups as input to multiple classifiers and compare their generalization performances. Our results demonstrate that eye movement data from the Alouette test predicts dyslexia with an accuracy of 81.25%; similarly, we were able to predict dyslexia with an accuracy of 81.25% when using data from saccades to LED targets on the Remobi device and 77.3% when using vergence movements to LED targets. Noticeably, eye movement data from the meaningful text produced the lowest accuracy (70.2%). In a subsequent analysis, ML algorithms were applied to predict reading speed based on eye movement descriptors extracted from the meaningful reading, then from Remobi saccade and vergence tests. Remobi vergence eye movement descriptors can predict reading speed even better than eye movement descriptors from the meaningful reading test.
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Fooken, Jolande, Kathryn Lalonde i Miriam Spering. "When hand movements improve eye movement performance". Journal of Vision 16, nr 12 (1.09.2016): 374. http://dx.doi.org/10.1167/16.12.374.

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Swanston, M. "Interaction of induced movement and eye movements". Ophthalmic and Physiological Optics 14, nr 4 (październik 1994): 439. http://dx.doi.org/10.1016/0275-5408(94)90188-0.

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Knight, Thomas A., i Albert F. Fuchs. "Contribution of the Frontal Eye Field to Gaze Shifts in the Head-Unrestrained Monkey: Effects of Microstimulation". Journal of Neurophysiology 97, nr 1 (styczeń 2007): 618–34. http://dx.doi.org/10.1152/jn.00256.2006.

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The role of the primate frontal eye field (FEF) has been inferred primarily from experiments investigating saccadic eye movements with the head restrained. Three recent reports investigating head-unrestrained gaze shifts disagree on whether head movements are evoked with FEF stimulation and thus whether the FEF participates in gaze movement commands. We therefore examined the eye, head, and overall gaze movement evoked by low-intensity microstimulation of the low-threshold region of the FEF in two head-unrestrained monkeys. Microstimulation applied at 200 or 350 Hz for 200 ms evoked large gaze shifts with substantial head movement components from most sites in the dorsomedial FEF, but evoked small, predominantly eye-only gaze shifts from ventrolateral sites. The size and direction of gaze and eye movements were strongly affected by the eye position before stimulation. Head movements exhibited little position dependency, but at some sites and initial eye positions, head-only movements were evoked. Stimulus-evoked gaze shifts and their eye and head components resembled those elicited naturally by visual targets. With stimulus train durations >200 ms, the evoked gaze shifts were more likely to be accomplished with a substantial head movement, which often continued for the entire stimulus duration. The amplitude, duration and peak velocity of the evoked head movement were more strongly correlated with stimulus duration than were those of the gaze or eye movements. We conclude that the dorsomedial FEF generates a gaze command signal that can produce eye, head, or combined eye–head movement depending on the initial orbital position of the eye.
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Rizzo, John-Ross, Mahya Beheshti, Weiwei Dai i Janet C. Rucker. "Eye Movement Recordings: Practical Applications in Neurology". Seminars in Neurology 39, nr 06 (grudzień 2019): 775–84. http://dx.doi.org/10.1055/s-0039-1698742.

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AbstractAccurate detection and interpretation of eye movement abnormalities often guides differential diagnosis, discussions on prognosis and disease mechanisms, and directed treatment of disabling visual symptoms and signs. A comprehensive clinical eye movement examination is high yield from a diagnostic standpoint; however, skillful recording and quantification of eye movements can increase detection of subclinical deficits, confirm clinical suspicions, guide therapeutics, and generate expansive research opportunities. This review encompasses an overview of the clinical eye movement examination, provides examples of practical diagnostic contributions from quantitative recordings of eye movements, and comments on recording equipment and related challenges.
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Rozprawy doktorskie na temat "Eye movement"

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Hossain, Akdas, i Emma Miléus. "Eye Movement Event Detection for Wearable Eye Trackers". Thesis, Linköpings universitet, Matematik och tillämpad matematik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129616.

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Eye tracking research is a growing area and the fields as where eye trackingcould be used in research are large. To understand the eye tracking data dif-ferent filters are used to classify the measured eye movements. To get accu-rate classification this thesis has investigated the possibility to measure bothhead movements and eye movements in order to improve the estimated gazepoint.The thesis investigates the difference in using head movement compensationwith a velocity based filter, I-VT filter, to using the same filter without headmovement compensation. Further on different velocity thresholds are testedto find where the performance of the filter is the best. The study is made with amobile eye tracker, where this problem exist since you have no absolute frameof reference as opposed to when using remote eye trackers. The head move-ment compensation shows promising results with higher precision overall.
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Bergström, Peter. "Eye-movement controlled image coding /". Linköping : Univ, 2003. http://www.bibl.liu.se/liupubl/disp/disp2003/tek831s.pdf.

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Kavasakali, Maria. "Saccadic eye movement measurements in the normal eye : investigating the clinical value of a non-invasive eye movement monitoring apparatus". Thesis, University of Bradford, 2005. http://hdl.handle.net/10454/3577.

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Clinicians are becoming increasingly aware of the effect of various pathologies on the characteristics of saccadic eye movements. As such, an efficient and non-invasive means of measuring eye-movement in a clinical environment is of interest to many. The aim of this thesis is to investigate the clinical application of a non-invasive eye movement recording technique as a part of a clinical examination. Eye movements were measured using an IRIS 6500 infrared limbal eye tracker, which we customized for the direct recording of oblique eye movements as well as horizontal and vertical. Firstly, the eye-tracker itself was assessed. Visually normal observers made saccadic eye movements to a 10' stimulus in eight directions of gaze. Primary (ANOVA) and secondary analyses (mean error less than 5%) resulted in acceptance that averaging four measurements would give a representative measurement of saccadic latency, peak velocity, amplitude and duration. Test-retest results indicated that this technique gives statistically (± 1.96*STDEVDifference) repeatable responses. Several factors that could potentially influence clinically based measures of eye-movements were examined. These included, the effect of ageing, viewing distances, dioptric blur and cataract. The results showed that saccadic latency and duration are significantly (p < 0.05) longer in older (60-89 years) observers compared to younger (20-39 years). Peak velocity and amplitude were not significantly affected by the age of the observer. All saccadic parameters (SP) were significantly affected by direction (Chapter 5). The compact nature of this eye movement methodology is obtainable since there is no significant effect on viewing distance (300 cm vs. 49 cm) (Chapter 6). There is also no significant effect of dioptric blur (up to +LOODS) on any of the four SP. In contrast, a higher level of defocus (+3.O ODS) has a larger probability of interfering with the measurements of peak velocity and duration (Chapter 7). Saccadic eye-movements were also recorded whilst normally sighted subjects wore cataract simulation goggles. The results suggested that the presence of dense cataract introduces significant increases in saccadic latencies and durations. No effect was found on the peak velocities and amplitudes. The effect of amblyopia on SP was also investigated in order to examine if this methodology is able to detect normal from abnormal responses (i.e. increased saccadic latencies). This set of data (Chapter9 ) showed that using IRIS 6500, longer than normal latencies may be recorded from the amblyopic eye but no consistent effect was found for the other SP (peak velocity, amplitude, duration). Overall, the results of this thesis demonstrate that the IRIS 6500 eye-tracker has many desirable elements (it is non-invasive; comfortable for the observers and gives repeatable and precise results in an acceptable time) that would potentially make it a useful clinical tool as a part of a routine examination.
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Havard, Catriona. "Eye movement strategies during face matching". Thesis, University of Glasgow, 2007. http://theses.gla.ac.uk/91/.

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Although there is a large literature on face recognition, less is known about the process of face matching, i.e., deciding whether two photographs depict the same person. The research described here examines viewers’ strategies for matching faces, and addresses the issue of which parts of a face are important for this task. Consistent with previous research, several eye-tracking experiments demonstrated a bias to the eye region when looking at faces. In some studies, there was a scanning strategy whereby only one eye on each face was viewed (the left eye on the right face and the right eye on the left face). However, viewing patterns and matching performance could be influenced by manipulating the way the face pair was presented: through face inversion, changing the distance between the two faces and varying the layout. There was a strong bias to look at the face on the left first, and then to look at the face on the right. A left visual field bias for individual faces has been found in a number of previous studies, but this is the first time it has been reported using pairs of faces in a matching task. The bias to look first at the item on the left was also found when trying to match pairs of similar line drawings of objects and therefore is not specific to face stimuli. Finally, the experiments in this thesis suggest that the way face pairs are presented can influence viewers’ accuracy on a matching task, as well as the way in which these faces are viewed. This suggests that the layout of face pairs for matching might be important in real world settings, such as the attempt to identify criminals from security cameras.
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Kerr, J. S. "Eye movement correlates of cognitive processes". Thesis, University of Nottingham, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381065.

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O'Connor, Emer. "Ageing, motion sensitivity and eye movement". Thesis, Cardiff University, 2010. http://orca.cf.ac.uk/55068/.

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This thesis aimed to address two separate issues: 1) the effect of fixation and smooth pursuit eye-movement on motion sensitivity and 2) the effect of age on motion sensitivity. Speed, direction and motion coherence thresholds were measured in older and younger observers during fixation and smooth pursuit. Observers of all ages found it more difficult to discriminate direction during smooth pursuit compared to fixation. An age-related decline in direction discrimination was evident during fixation and smooth pursuit at slow speeds only (Experiment 1). An age-related decrease in retinal luminance failed to explain the decline in direction sensitivity in older observers (Experiment 2). The effect of relative motion was assessed and was found not to influence the threshold difference between eye-movement conditions (Experiment 3). Similar effects of speed and eye-movement condition were found in the trajectory-matching task (Experiment 4). Speed discrimination thresholds were also higher during pursuit compared to fixation (Experiment 5). No age effects were found in either eye-movement condition for speed discrimination. Classification analysis demonstrated that in speed and direction discrimination, old and young observers combined retinal and extra-retinal motion cues to make motion judgements regardless of instructed eye-movement. Overall, the discrimination results support the idea that performance in these tasks is limited by internal noise associated with retinal and extra-retinal motion signals that feed into a combination stage responsible for estimating head-centred motion. Motion coherence thresholds were higher for pursued stimuli compared to fixated stimuli (Experiment 6). In addition, observers of all ages found it more difficult to detect collinear signal motion compared to orthogonal signal motion during pursuit. This pattern was significantly worse in older observers. There was no age-related decline in motion coherence for fixated stimuli. Retinal slip due to inaccurate eye-movements could explain the motion coherence findings.
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Riddell, Patricia Mary. "Vergence eye movements and dyslexia". Thesis, University of Oxford, 1987. http://ora.ox.ac.uk/objects/uuid:fc695d53-073a-467d-bc8d-8d47c0b9321e.

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Hardwick, David R., i na. "Factors Associated with Saccade Latency". Griffith University. School of Psychology, 2008. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20100705.111516.

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Part of the aim of this thesis was to explore a model for producing very fast saccade latencies in the 80 to 120ms range. Its primary motivation was to explore a possible interaction by uniquely combining three independent saccade factors: the gap effect, target-feature-discrimination, and saccadic inhibition of return (IOR). Its secondary motivation was to replicate (in a more conservative and tightly controlled design) the surprising findings of Trottier and Pratt (2005), who found that requiring a high resolution task at the saccade target location speeded saccades, apparently by disinhibition. Trottier and Pratt’s finding was so surprising it raised the question: Could the oculomotor braking effect of saccadic IOR to previously viewed locations be reduced or removed by requiring a high resolution task at the target location? Twenty naïve untrained undergraduate students participated in exchange for course credit. Multiple randomised temporal and spatial target parameters were introduced in order to increase probability of exogenous responses. The primary measured variable was saccade latency in milliseconds, with the expectation of higher probability of very fast saccades (i.e. 80-120ms). Previous research suggested that these very fast saccades could be elicited in special testing circumstances with naïve participants, such as during the gap task, or in highly trained observers in non-gap tasks (Fischer & Weber, 1993). Trottier and Pratt (2005) found that adding a task demand that required naïve untrained participants to obtain a feature of the target stimulus (and to then make a discriminatory decision) also produced a higher probability of very fast saccade latencies. They stated that these saccades were not the same as saccade latencies previously referred to as express saccades produced in the gap paradigm, and proposed that such very fast saccades were normal. Carpenter (2001) found that in trained participants the probability of finding very fast saccades during the gap task increased when the horizontal direction of the current saccade continued in the same direction as the previous saccade (as opposed to reversing direction) – giving a distinct bimodality in the distribution of latencies in five out of seven participants, and likened his findings to the well known IOR effect. The IOR effect has previously been found in both manual key-press RT and saccadic latency paradigms. Hunt and Kingstone (2003) stated that there were both cortical top-down and oculomotor hard-wired aspects to IOR. An experiment was designed that included obtain-target-feature and oculomotor-prior-direction, crossed with two gap level offsets (0ms & 200ms-gap). Target-feature discrimination accuracy was high (97%). Under-additive main effects were found for each factor, with a three-way interaction effect for gap by obtain-feature by oculomotor-prior-direction. Another new three-way interaction was also found for anticipatory saccade type. Anticipatory saccades became significantly more likely under obtain-target-feature for the continuing oculomotor direction. This appears to be a similar effect to the increased anticipatory direction-error rate in the antisaccade task. These findings add to the saccadic latency knowledge base and in agreement with both Carpenter and Trottier and Pratt, laboratory testing paradigms can affect saccadic latency distributions. That is, salient (meaningful) targets that follow more natural oculomotor trajectories produce higher probability of very fast latencies in the 80-120ms range. In agreement with Hunt and Kingstone, there appears to be an oculomotor component to IOR. Specifically, saccadic target-prior-location interacts differently for obtain-target-feature under 200-ms gap than under 0ms-gap, and is most likely due predominantly to a predictive disinhibitory oculomotor momentum effect, rather than being due to the attentional inhibitory effect proposed for key-press IOR. A new interpretation for the paradigm previously referred to as IOR is offered that includes a link to the smooth pursuit system. Additional studies are planned to explore saccadic interactions in more detail.
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Hardwick, David R. "Factors Associated with Saccade Latency". Thesis, Griffith University, 2008. http://hdl.handle.net/10072/365963.

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Part of the aim of this thesis was to explore a model for producing very fast saccade latencies in the 80 to 120ms range. Its primary motivation was to explore a possible interaction by uniquely combining three independent saccade factors: the gap effect, target-feature-discrimination, and saccadic inhibition of return (IOR). Its secondary motivation was to replicate (in a more conservative and tightly controlled design) the surprising findings of Trottier and Pratt (2005), who found that requiring a high resolution task at the saccade target location speeded saccades, apparently by disinhibition. Trottier and Pratt’s finding was so surprising it raised the question: Could the oculomotor braking effect of saccadic IOR to previously viewed locations be reduced or removed by requiring a high resolution task at the target location? Twenty naïve untrained undergraduate students participated in exchange for course credit. Multiple randomised temporal and spatial target parameters were introduced in order to increase probability of exogenous responses. The primary measured variable was saccade latency in milliseconds, with the expectation of higher probability of very fast saccades (i.e. 80-120ms). Previous research suggested that these very fast saccades could be elicited in special testing circumstances with naïve participants, such as during the gap task, or in highly trained observers in non-gap tasks (Fischer & Weber, 1993). Trottier and Pratt (2005) found that adding a task demand that required naïve untrained participants to obtain a feature of the target stimulus (and to then make a discriminatory decision) also produced a higher probability of very fast saccade latencies. They stated that these saccades were not the same as saccade latencies previously referred to as express saccades produced in the gap paradigm, and proposed that such very fast saccades were normal. Carpenter (2001) found that in trained participants the probability of finding very fast saccades during the gap task increased when the horizontal direction of the current saccade continued in the same direction as the previous saccade (as opposed to reversing direction) – giving a distinct bimodality in the distribution of latencies in five out of seven participants, and likened his findings to the well known IOR effect. The IOR effect has previously been found in both manual key-press RT and saccadic latency paradigms. Hunt and Kingstone (2003) stated that there were both cortical top-down and oculomotor hard-wired aspects to IOR. An experiment was designed that included obtain-target-feature and oculomotor-prior-direction, crossed with two gap level offsets (0ms & 200ms-gap). Target-feature discrimination accuracy was high (97%). Under-additive main effects were found for each factor, with a three-way interaction effect for gap by obtain-feature by oculomotor-prior-direction. Another new three-way interaction was also found for anticipatory saccade type. Anticipatory saccades became significantly more likely under obtain-target-feature for the continuing oculomotor direction. This appears to be a similar effect to the increased anticipatory direction-error rate in the antisaccade task. These findings add to the saccadic latency knowledge base and in agreement with both Carpenter and Trottier and Pratt, laboratory testing paradigms can affect saccadic latency distributions. That is, salient (meaningful) targets that follow more natural oculomotor trajectories produce higher probability of very fast latencies in the 80-120ms range. In agreement with Hunt and Kingstone, there appears to be an oculomotor component to IOR. Specifically, saccadic target-prior-location interacts differently for obtain-target-feature under 200-ms gap than under 0ms-gap, and is most likely due predominantly to a predictive disinhibitory oculomotor momentum effect, rather than being due to the attentional inhibitory effect proposed for key-press IOR. A new interpretation for the paradigm previously referred to as IOR is offered that includes a link to the smooth pursuit system. Additional studies are planned to explore saccadic interactions in more detail.
Thesis (Masters)
Master of Philosophy (MPhil)
School of Psychology
Griffith Health
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Diamantopoulos, Georgios. "Novel eye feature extraction and tracking for non-visual eye-movement applications". Thesis, University of Birmingham, 2010. http://etheses.bham.ac.uk//id/eprint/934/.

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The Neuro-Linguistic Programming (NLP) Eye-Accessing Cues (EAC) model suggests that there is a correlation between eye-movements and the internal processing mode that people employ when accessing their subjective experience. Upon careful examination, the experimental methodologies of past research studies were based on assumptions informed by an incomplete or erroneous understanding of the EAC model that could have significantly influenced the experimental results. The reliability of the results can be further impacted by the absence of modern eye-tracking equipment to support the inherently complex task of reliably recording, selecting and rating eye-movements. While a plethora of eye-tracker designs is available to date, none of them has been designed to track non-visual eye-movements (eye-movements that are a result of neuro-physiological events and are not associated with vision), which tend to range outside the normal visual field and thus perform poorly in such cases. Therefore, this thesis introduces a set of novel algorithms for the extraction of relevant eye features (pupil position, iris radius and eye corners) that are combined to calculate the 2D gaze direction and to classify each eye-movement to one of eight classes from the EAC model. The applicability of the eyetracker is demonstrated through a pilot study that serves as a real-world application case study. The performance of the eye-tracker is found to be practical for the intended purpose as it is lightweight, low-cost and can robustly perform the tasks of 2D gaze direction estimation and classification.
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Książki na temat "Eye movement"

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Sanders, E. A. C. M., R. J. W. De Keizer i D. S. Zee, red. Eye Movement Disorders. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3317-0.

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Klein, Christoph, i Ulrich Ettinger, red. Eye Movement Research. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20085-5.

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Kim, D. Edward. Eye-movement perimetry. Ottawa: National Library of Canada, 1995.

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Sanders, E. A. C. M., Keizer, Robert Jan Willem de. i Zee David S, red. Eye movement disorders. Dordrecht: Nijhoff/Junk, 1987.

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5

Mallick, Birendra N., S. R. Pandi-Perumal, Robert W. McCarley i Adrian R. Morrison, red. Rapid Eye Movement Sleep. Cambridge: Cambridge University Press, 2011. http://dx.doi.org/10.1017/cbo9780511921179.

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REM--rapid eye movement. New York, N.Y., U.S.A: Viking, 1997.

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Anderson, Dominic P. Eye movement: Theory, interpretation, and disorders. New York: Nova Science Publishers, 2011.

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Anderson, Dominic P. Eye movement: Theory, interpretation, and disorders. New York: Nova Science Publishers, 2011.

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Bando, Kiyomi, i Aito Hotate. Rapid eye movement sleep: New research. Hauppauge, N.Y: Nova Science Publishers, 2011.

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Shapiro, Francine. Eye movement Desentization and reprocessing. New York: Guilford, 1995.

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Części książek na temat "Eye movement"

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Biele, Cezary. "Eye Movement". W Studies in Computational Intelligence, 23–37. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-90004-5_3.

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Ellenbroek, Bart, Alfonso Abizaid, Shimon Amir, Martina de Zwaan, Sarah Parylak, Pietro Cottone, Eric P. Zorrilla i in. "Eye Movement Tasks". W Encyclopedia of Psychopharmacology, 526–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_182.

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Duchowski, Andrew T. "Eye Movement Analysis". W Eye Tracking Methodology: Theory and Practice, 111–28. London: Springer London, 2003. http://dx.doi.org/10.1007/978-1-4471-3750-4_9.

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Hutton, Samuel B. "Eye Movement Tasks". W Encyclopedia of Psychopharmacology, 669–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-36172-2_182.

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Moncayo, Jorge, i Julien Bogousslavsky. "Eye Movement Abnormalities". W Frontiers of Neurology and Neuroscience, 13–16. Basel: KARGER, 2012. http://dx.doi.org/10.1159/000333375.

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Duchowski, Andrew T. "Eye Movement Analysis". W Eye Tracking Methodology, 141–58. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57883-5_13.

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Duchowski, Andrew T. "Eye Movement Synthesis". W Eye Tracking Methodology, 193–98. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57883-5_16.

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Deshmukh, Vishwajit Ravindra, i Ashlesh Patil. "Saccadic Eye Movement". W Encyclopedia of Animal Cognition and Behavior, 1–3. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-47829-6_662-1.

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Deshmukh, Vishwajit Ravindra, i Ashlesh Patil. "Saccadic Eye Movement". W Encyclopedia of Animal Cognition and Behavior, 6145–47. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-319-55065-7_662.

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Hutton, Samuel B. "Eye Movement Tasks". W Encyclopedia of Psychopharmacology, 1–6. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-27772-6_182-2.

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Streszczenia konferencji na temat "Eye movement"

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Burch, Michael. "Eye movement plots". W VINCI '17: 10th International Symposium on Visual Information Communication and Interaction. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3105971.3105973.

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Duchowski, Andrew T., Sophie Jörg, Tyler N. Allen, Ioannis Giannopoulos i Krzysztof Krejtz. "Eye movement synthesis". W ETRA '16: 2016 Symposium on Eye Tracking Research and Applications. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2857491.2857528.

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Munteanu, Mihai, Alina Magda, Radu Ciorap, Corneliu Rusu i Luige Vladareanu. "EOG SIGNAL PROCESSING ALGORITHM USED IN EYE MOVEMENT DETECTION". W eLSE 2017. Carol I National Defence University Publishing House, 2017. http://dx.doi.org/10.12753/2066-026x-17-255.

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The EOG signal is based on the potential difference between the cornea and retina (also known as the corneo-retinal potential) and can be measured by using electrodes placed around the eyes. The amplitude of the EOG signal varies between 50 ... 3500 uV. The eye can be seen as a dipole with a positive pole in the retina and the negative one in the cornea. Thus, an electric potential field is created that is changing proportionally with the rotation of the eye. The movements can be assessed from a single eye, but because for a healthy human being the eye movements are coupled, in this paper the signal obtained from both eyes is used. Furthermore, this method allows assessing both vertical and horizontal signal simultaneously. One of the most complex algorithms used to detect steep slopes and peaks within medical signals is the Pan-Tompkins algorithm, but is especially used for ECG signals. This is the reason why the previous studies focused on the detection of the abrupt discontinuities in the EOG signal, from the wavelet transform perspective. In this manner, the points of discontinuity determined by the eye movement will generate high wavelet coefficients, regardless of scale. Starting from previous results regarding different technics used for eye movement investigation and electrooculogram signal (EOG), the paper presents a robust algorithm that is capable of performing real time eye movement detection. This algorithm was implemented in LabVIEW, based on virtual instruments and it was successfully tested in the laboratory of Biomedical Engineering from Technical University of Cluj-Napoca.
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Riggs, Lorrin A., John P. Kelly, Karen A. Manning i Robert K. Moore. "Blink-related eye movements". W OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/oam.1985.wf6.

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Using a visual-persistence method described by Ginsborg and Maurice,1 coupled with high-speed photography and eye-tracker records, we have explored the eye movements that take place during a blink. With straight-ahead binocular fixation each eye typically rotates nasalward and downward by 1° or 2° during the closing phase of a blink. The movements of the eyes are more rapid, however, than those of the lids. Maximum rotation of the eyes occurs slightly before lid closure is complete, and the eyes return to their initial positions well before the lids are fully reopened. Measurement of the direction, amplitude, and time course of such eye movements provides evidence for recent proposals that, with off-center viewing, a blink causes each eye to rotate toward its primary position of regard. Indeed, if the eye is already in that position when the blink takes place, there is scarcely any eye movement at all. In normal conditions of viewing there is no evidence of conjugate saccades or of any large upward rotation of the eyes (Bell’s phenomenon) that was formerly thought to take place during a blink.
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Bonnin i Bar. "Portable Eye Movement Recorder". W Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.589858.

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Bonnin, Thierry, i Nathalie Bar. "Portable eye movement recorder". W 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1992. http://dx.doi.org/10.1109/iembs.1992.5761975.

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Fuhl, Wolfgang, i Enkelejda Kasneci. "A Multimodal Eye Movement Dataset and a Multimodal Eye Movement Segmentation Analysis". W ETRA '21: 2021 Symposium on Eye Tracking Research and Applications. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3448018.3458004.

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Wang, Kang, Hui Su i Qiang Ji. "Neuro-Inspired Eye Tracking With Eye Movement Dynamics". W 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2019. http://dx.doi.org/10.1109/cvpr.2019.01006.

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Siripitakchai, Apichai, Suphakant Phimoltares i Atchara Mahaweerawat. "EYE-CAPTCHA: An enhanced CAPTCHA using eye movement". W 2017 3rd IEEE International Conference on Computer and Communications (ICCC). IEEE, 2017. http://dx.doi.org/10.1109/compcomm.2017.8322911.

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Abdulin, Evgeniy, i Oleg Komogortsev. "User Eye Fatigue Detection via Eye Movement Behavior". W CHI '15: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2702613.2732812.

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Raporty organizacyjne na temat "Eye movement"

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Fendrich, Robert. DURIP - Improved Eye Movement Monitoring Capabilities for Studies in Visual Cognition. Fort Belvoir, VA: Defense Technical Information Center, luty 1990. http://dx.doi.org/10.21236/ada220355.

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Geri, George A. Eye and Head Movement Characteristics in Free Visual Search of Flight-Simulator Imagery. Fort Belvoir, VA: Defense Technical Information Center, marzec 2010. http://dx.doi.org/10.21236/ada524435.

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Spoors, F., C. D. B. Leakey i M. A. James. Coast to ocean: a Fife-eye view: ocean literacy in Fife, Scotland. Scottish Oceans Institute, 2021. http://dx.doi.org/10.15664/10023.23981.

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[Extract from Executive Summary] Ocean Literacy (OL), or Ocean Citizenship, is the basis of a movement to sway positive, lasting change in communities that will benefit the sea, coast and climate. An ocean literate person is understanding of the ocean’s influence on their own lives, as well as the way that their behaviours influence the ocean and is knowledgeable concerning ocean threats. A degree of informed-ness (or ‘literacy’) is thought to inspire effective communication and allow for impactful decision-making regarding personal lifestyle and behaviours, which are subsequently beneficial to the marine and coastal environment. Not only that, a collective OL mindset may be translated into policy, informing marine spatial planning authorities of people’s expectations regarding their marine and coastal spaces.
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Baker, Laura, Robert Goldstein i John A. Stern. Saccadic Eye Movements in Deception. Fort Belvoir, VA: Defense Technical Information Center, grudzień 1992. http://dx.doi.org/10.21236/ada304658.

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Kowler, Eileen. Eye Movements and Visual Information Processing. Fort Belvoir, VA: Defense Technical Information Center, marzec 2005. http://dx.doi.org/10.21236/ada437672.

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Kowler, Eileen. Eye Movements and Visual Information Processing. Fort Belvoir, VA: Defense Technical Information Center, kwiecień 1989. http://dx.doi.org/10.21236/ada209817.

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Kowler, Eileen. Eye Movements and Visual Information Processing. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 1993. http://dx.doi.org/10.21236/ada278364.

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Kowler, Eileen. Eye Movements and Visual Information Processing. Fort Belvoir, VA: Defense Technical Information Center, wrzesień 1991. http://dx.doi.org/10.21236/ada250198.

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Kowler, Eileen. Eye Movements and Visual Information Processing. Fort Belvoir, VA: Defense Technical Information Center, styczeń 1992. http://dx.doi.org/10.21236/ada259955.

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Jonides, John. High-Resolution Analysis of Eye Movements. Fort Belvoir, VA: Defense Technical Information Center, kwiecień 1986. http://dx.doi.org/10.21236/ada170779.

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