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)
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)
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)
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)
We present a framework for collaborative image analysis where gaze information is shared across all users. A server gathers and broadcasts fixation data from/to all clients and the clients visualize this information. Several visualization options are provided. The system can run in real-time or gaze information can be recorded and shared the next time an(More)
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