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New Methods for the Characterization of Gaze Behavior in Virtual Environments

April 5, 2017 @ 4:30 pm - 5:30 pm

In the PerForM (Perception for Movement) Lab, we aim to develop computational models of visually guided human behaviors, such as driving, catching a ball, or walking through complex environments. Our approach involves the empirical study of these behaviors within controlled but naturalistic virtual reality (VR) environments, where the stimulus is computationally generated and parameterized, and movements are monitored with a combination of motion capture and eye tracking technology. In this talk, I will discuss current research on eye / hand coordination in goal directed behavior in VR (e.g. catching a ball), and related work addressing limitations in the eye tracking technology when used in the 3D context.  For example, whereas there are well-defined algorithms for characterizing gaze behavior when the stimulus is confined to a 2D computer screen, these algorithms do not generalize to a 3D context in which the head is allowed to move. To resolve these issues, we are developing machine learning classifiers to characterize and classify coordinated movements of the eyes and head with labels more fitting to the 3D context than those traditionally used in 2D, such as fixation (prolonged foveation), pursuit (fixation of a moving object), and saccade (a high-velocity relocation of the gaze vector).

Speaker(s): Gabe,

Location:
Room: 2140
Bldg: CIMS
83 Lomb Memorial Drive
Rochester, New York
14623-5603

Details

Date:
April 5, 2017
Time:
4:30 pm - 5:30 pm
Event Category:
Website:
http://events.vtools.ieee.org/m/44449

Organizer

[email protected]
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