Brendan John

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As Brain-Computer Interface (BCI) systems advance for uses such as robotic arm control it is postulated that the control paradigms could apply to other scenarios, such as control of video games, wheelchair movement or even flight. The purpose of this pilot study was to determine whether our BCI system, which involves decoding the signals of two(More)
The output of 3D volume segmentation is crucial to a wide range of endeavors. Producing accurate segmentations often proves to be both inefficient and challenging, in part due to lack of imaging data quality (contrast and resolution), and because of ambiguity in the data that can only be resolved with higher-level knowledge of the structure and the context(More)
The University of California, Los Angeles (UCLA) School of Dentistry has implemented a Health Resources and Services Administration-funded program to prepare dentists for the complex and comprehensive needs of pediatric patients within rapidly changing demographics and a paradigm shift in dentistry. Traditional dental education has focused on how to respond(More)
A Dataset of Gaze Behavior in VR Faithful to Natural Statistics Brendan John Rochester Institute of Technology, 2017 Supervisor: Dr. Reynold Bailey Eye tracking technology is advancing swiftly and many areas of research have begun taking advantage of this. Existing eye trackers project gaze onto a 2D plane, whether it be the display of a head mounted(More)
Eye-tracking provides a mechanism for researchers to monitor where subjects deploy their visual attention. Eye-tracking has been used to gain insights into how humans scrutinize faces, however the majority of these studies were conducted using desktop-mounted eye-trackers where the subject sits and views a screen during the experiment. The stimuli in these(More)
Perception and gaze are an integral part of determining where and how to grasp an object. In this study we analyze how gaze patterns <i>differ</i> when participants are asked to manipulate a robotic hand to perform a grasping task when compared with using their own. We have three findings. First, while gaze patterns for the object are similar in both(More)
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