Glenn Sweeney

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The objective is an efficient means to improve the accuracy of detected fixations. The context is studies of natural behavior of subjects wearing eye trackers while observing distant objects. Fixation detection algorithms try to determine when the image on the retina is stable. Previous algorithms for wearable eye trackers consider only eye-in-head motion.(More)
The use of adaptive filtering as a means of signal processing in sensor applications provides stability and accuracy when operating with sensors that have slowly varying coefficients in their transfer function. This work was conducted using a nonlinear state space model of a capacitive micromachined ultrasonic transducer (CMUT) based on FEM data to analyze(More)
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