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3D Eye Tracking Software Could Improve Collaborative Robot Human Interaction

GazeSense 3D eye tracking software provides real-time eye gaze tracking in 3D providing gaze coding without the need to wear glasses . Using off the shelf depth-sensing cameras, GazeSense allows the tracking of multiple subjects, label objects of interest in the open space and track attention towards them in real-time.

Attention data can provide an ideal window into cognition and behavior. How a participant perceives a stimulus and their responses can be tracked in real time and remotely via a discreet sensor. With GazeSense, researchers can collect and benchmark fixations, gaze-paths and how a participant observes and responds to a change in their environment.

Until recently, research eye tracking data has been limited in its authenticity due to intrusive headgear. This can be of particular concern when trying to study natural interactions between participants. With Gazesense, remote eye tracking using low-profile sensors allows for a more genuine environment. Attention metrics and responses can be measured avoiding any distraction for those being observed.

GazeSense utilizes a range of commercially available 3D cameras, so researchers have the flexibility to study attention within or outside of a screen.

The Intel RealSense D415 is the recommended sensor for most GazeSense academic applications.

The use of 3D gaze tracking within robotics allows for a more natural and collaborative human-robot interaction. Currently, robots cannot accurately read human’s level of engagement. However, given their “pair of eyes” that use depth sensing cameras together with eye tracking software they can generate a 3D gaze vector. Both are enabled to detect, track and predict people’s intention and attention towards objects for potential use in collaborative robot applications.

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