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D. Sparks (2002)
The brainstem control of saccadic eye movementsNature Reviews Neuroscience, 3
H. Goossens, A. Opstal (1997)
Human eye-head coordination in two dimensions under different sensorimotor conditionsExperimental Brain Research, 114
G. Westheimer (1954)
Mechanism of saccadic eye movements.A.M.A. archives of ophthalmology, 52 5
Bahill A. T. (1980)
311Crit. Rev. Bioeng., 4
Oleg Komogortsev, C. Holland, S. Jayarathna (2012)
Two-Dimensional Linear Homeomorphic Oculomotor Plant Mathematical Model
C. Quaia, H. Ying, L. Optican (2010)
The Viscoelastic Properties of Passive Eye Muscle in Primates. III: Force Elicited by Natural ElongationsPLoS ONE, 5
B. Ashworth (1978)
Movements of the EyesJournal of Neurology, Neurosurgery & Psychiatry, 41
M. Sanders (1984)
The Neurology of Eye MovementsBritish Journal of Ophthalmology, 68
R. Yee, V. Schiller, V. Lim, F. Baloh, R. Baloh, V. Honrubia (1985)
Velocities of vertical saccades with different eye movement recording methods.Investigative ophthalmology & visual science, 26 7
H. Collewijn, C. Erkelens, R. Steinman (1988)
Binocular co‐ordination of human horizontal saccadic eye movements.The Journal of Physiology, 404
(2012)
Publication Date:
(2013)
ACM Transactions on Applied Perception
M. Harwood, James Herman (2008)
Optimally Straight and Optimally Curved SaccadesThe Journal of Neuroscience, 28
C. Quaia, L. Optican (2003)
Dynamic eye plant models and the control of eye movementsStrabismus, 11
J. Khan, Oleg Komogortsev (2007)
Eye movement prediction by oculomotor plant modeling with kalman filter, 2003--2007
(1970)
Muscle (2nd ed.). Arnold, London
Oleg Komogortsev, Alexey Karpov, L. Price, Cecilia Aragon (2012)
Biometric authentication via oculomotor plant characteristics2012 5th IAPR International Conference on Biometrics (ICB)
F. Massey (1951)
The Kolmogorov-Smirnov Test for Goodness of FitJournal of the American Statistical Association, 46
Arun Kumar, Yanning Han, K. Liao, J. Rucker, S. Ramat, R. Leigh (2005)
Evaluating Large Saccades in Patients with Brain‐Stem or Cerebellar DisordersAnnals of the New York Academy of Sciences, 1039
M. Clark, L. Stark (1974)
Control of human eye movements: II. a model for the extraocular plant mechanismBellman Prize in Mathematical Biosciences, 20
A. Opstal, J. Gisbergen (1987)
Skewness of saccadic velocity profiles: a unifying parameter for normal and slow saccades.Vision research, 27 5
K. Rayner (1998)
Eye movements in reading and information processing: 20 years of research.Psychological bulletin, 124 3
G. Grossman, D. Robinson (2004)
Ambivalence in modelling oblique saccadesBiological Cybernetics, 58
D. Tamir, Oleg Komogortsev, Carl Mueller (2008)
An effort and time based measure of usability
K. Ciuffreda, L. Stark (1975)
DESCARTES' LAW OF RECIPROCAL INNERVATION*Optometry and Vision Science, 52
W. King, S. Lisberger, A. Fuchs (1986)
Oblique saccadic eye movements of primates.Journal of neurophysiology, 56 3
A. Smit, A. Opstal, J. Gisbergen (2004)
Component stretching in fast and slow oblique saccades in the humanExperimental Brain Research, 81
A. Bahill, Jose Latimer, B. Troost (1980)
Linear Homeomorphic Model for Human MovementIEEE Transactions on Biomedical Engineering, BME-27
M. Clark, L. Stark (1974)
Control of human eye movements: I. modelling of extraocular muscleBellman Prize in Mathematical Biosciences, 20
T. Eggert (2007)
Eye movement recordings: methods.Developments in ophthalmology, 40
J. Lagarias, J. Reeds, M. Wright, P. Wright (1998)
Convergence Properties of the Nelder-Mead Simplex Method in Low DimensionsSIAM J. Optim., 9
A. Bahill, M. Clark, L. Stark (1975)
The main sequence, a tool for studying human eye movementsBellman Prize in Mathematical Biosciences, 24
A. Duchowski (2003)
Eye Tracking Methodology: Theory and Practice
D. Tweed, T. Vilis (1987)
Implications of rotational kinematics for the oculomotor system in three dimensions.Journal of neurophysiology, 58 4
Oleg Komogortsev, D. Gobert, S. Jayarathna, D. Koh, S. Gowda (2010)
Standardization of Automated Analyses of Oculomotor Fixation and Saccadic BehaviorsIEEE Transactions on Biomedical Engineering, 57
D. Pélisson, C. Prablanc (1988)
Kinematics of centrifugal and centripetal saccadic eye movements in manVision Research, 28
J. Enderle, Wei Zhou (2010)
Models of Horizontal Eye Movements, Part II: A 3rd Order Linear Saccade ModelSynthesis Lectures on Biomedical Engineering, 5
Oleg Komogortsev, J. Khan (2008)
Eye movement prediction by Kalman filter with integrated linear horizontal oculomotor plant mechanical modelProceedings of the 2008 symposium on Eye tracking research & applications
Oleg Komogortsev, J. Khan (2009)
Eye movement prediction by oculomotor plant Kalman filter with brainstem controlJournal of Control Theory and Applications, 7
Oleg Komogortsev, U. Jayarathna (2008)
2D Oculomotor Plant Mathematical Model for eye movement simulation2008 8th IEEE International Conference on BioInformatics and BioEngineering
M. Nichols, D. Sparks (1996)
Independent feedback control of horizontal and vertical amplitude during oblique saccades evoked by electrical stimulation of the superior colliculus.Journal of neurophysiology, 76 6
F. Hsu, A. Bahill, L. Stark (1976)
Parametric sensitivity analysis of a homeomorphic model for saccadic and vergence eye movements.Computer programs in biomedicine, 6 2
(2013)
Received May
C. Martin, L. Schovanec (1999)
Muscle Mechanics and Dynamics of Ocular Motion
Oleg Komogortsev, Y. Ryu, D. Koh, S. Gowda (2009)
Instantaneous saccade driven eye gaze interactionProceedings of the International Conference on Advances in Computer Entertainment Technology
J. Rodgers, W. Nicewander, David Blouin (1988)
Thirteen ways to look at the correlation coefficientThe American Statistician, 42
D. Robinson (1973)
Models of the saccadic eye movement control systemKybernetik, 14
Komogortsev Oleg (2007)
EYE MOVEMENT PREDICTION BY OCULOMOTOR PLANT MODELING WITH KALMAN FILTER
(1975)
The Human Oculomotor Control System
Bahill At (1980)
Development, validation, and sensitivity analyses of human eye movement models., 4
Ana Huaman, James, A., Sharpe (1993)
Vertical saccades in senescence.Investigative ophthalmology & visual science, 34 8
F. Fioravanti, P. Inchingolo, S. Pensiero, M. Spanio (1995)
Saccadic eye movement conjugation in childrenVision Research, 35
Article 27, Publication date: October 2013
H. Collewijn, C. Erkelens, R. Steinman (1988)
Binocular co‐ordination of human vertical saccadic eye movements.The Journal of Physiology, 404
H. Hotelling (1931)
The Generalization of Student’s RatioAnnals of Mathematical Statistics, 2
John Enderle, Engelken Ej, Stiles Rn (1991)
A comparison of static and dynamic characteristics between rectus eye muscle and linear muscle model predictionsIEEE Transactions on Biomedical Engineering, 38
Oleg Komogortsev, Alexey Karpov, C. Holland, Hugo Proença (2012)
Multimodal ocular biometrics approach: A feasibility study2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS)
Oleg Komogortsev, J. Khan (2007)
Perceptual multimedia compression based on the predictive Kalman filter eye movement modeling, 6504
C. Quaia, L. Optican (1997)
Model with distributed vectorial premotor bursters accounts for the component stretching of oblique saccades.Journal of neurophysiology, 78 2
A. Bahill, L. Stark (1977)
Oblique saccadic eye movements. Independence of horizontal and vertical channels.Archives of ophthalmology, 95 7
M. Nichols, D. Sparks (1996)
Component stretching during oblique stimulation-evoked saccades: the role of the superior colliculus.Journal of neurophysiology, 76 1
A. Bahill (1980)
Development, validation, and sensitivity analyses of human eye movement models.Critical reviews in bioengineering, 4 4
2D Linear Oculomotor Plant Mathematical Model: Verification and Biometric Applications OLEG KOMOGORTSEV, COREY HOLLAND, SAMPATH JAYARATHNA, and ALEX KARPOV, Texas State University This article assesses the ability of a two-dimensional (2D) linear homeomorphic oculomotor plant mathematical model to simulate normal human saccades on a 2D plane. The proposed model is driven by a simplified pulse-step neuronal control signal and makes use of linear simplifications to account for the unique characteristics of the eye globe and the extraocular muscles responsible for horizontal and vertical eye movement. The linear nature of the model sacrifices some anatomical accuracy for computational speed and analytic tractability, and may be implemented as two one-dimensional models for parallel signal simulation. Practical applications of the model might include improved noise reduction and signal recovery facilities for eye tracking systems, additional metrics from which to determine user effort during usability testing, and enhanced security in biometric identification systems. The results indicate that the model is capable of produce oblique saccades with properties resembling those of normal human saccades and is capable of deriving muscle constants that are viable as biometric indicators. Therefore, we conclude that sacrifice in the anatomical accuracy of the model produces negligible effects on
ACM Transactions on Applied Perception (TAP) – Association for Computing Machinery
Published: Oct 1, 2013
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