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Denise Gobert
Researcher at Texas State University
Publications - 14
Citations - 488
Denise Gobert is an academic researcher from Texas State University. The author has contributed to research in topics: Center of pressure (terrestrial locomotion) & Statistical classification. The author has an hindex of 6, co-authored 12 publications receiving 429 citations. Previous affiliations of Denise Gobert include Walter Reed Army Institute of Research & Veterans Health Administration.
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Journal ArticleDOI
Standardization of Automated Analyses of Oculomotor Fixation and Saccadic Behaviors
TL;DR: This paper evaluates the performance of five eye-movement classification algorithms in terms of their assessment of oculomotor fixation and saccadic behavior and proposes techniques to enable efficient and objective clinical applications providing means to assure meaningful automated eye- Movement classification.
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Retinal location of the preferred retinal locus relative to the fovea in scanning laser ophthalmoscope images.
George T. Timberlake,Manoj Sharma,Susan A. Grose,Denise Gobert,John M. Gauch,Joseph H. Maino +5 more
TL;DR: A method for determining retinal foveal position based on normal fixation position relative to the optic disk and the shape of the PRL, characterized by the ratio of PRL ellipse major to minor axis, was found to depend on whether thePRL was vertically or horizontally aligned with the foveAL fixation centroid.
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Application of cross time-frequency analysis to postural sway behavior: the effects of aging and visual systems
TL;DR: Using the experimental results of the transient phase difference obtained from the cross time-frequency distribution, it is demonstrated that the postural control of young persons are more stable and rely more on visual sensory feedback to stabilize posturalcontrol compared to that of the elderly persons.
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Distortion and size calibration of the scanning laser ophthalmoscope (SLO) laser-beam raster.
TL;DR: A straightforward mathematical method is developed for correcting distortion in SLO image measurements that can cause stimulus size to change as much as 10% from the top to the bottom of the raster.