2017
DOI: 10.7287/peerj.preprints.2718
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Assessment of accuracy for target detection in 3D-space using eye tracking and computer vision

Abstract: Over the last decade, eye tracking systems have been developed and used in many fields, mostly to identify targets on a screen, i.e. a plane. For novel applications such as the control of robotic devices by the user vision, there is a great interest in developing methods base on eye tracking to identify target points in free three dimensional environments. The objective of this paper is to characterise the accuracy the eye tracking and computer vision combination that was designed recently to overcome many lim… Show more

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“…Thus optical, radar, magnetic or mechanical tracking of head location is currently necessary, unless the end-user is constrained by their disease or their head rest on a wheel-chair in their head movements. In conclusion, most examples in the literature accomplish three-dimensional control of robotic actuators by means of hybrid interfaces that combine eye-tracking for discrete target selection with other signal sources, such as depth sensors and computer vision [24], brain-machine interfaces [20], gestures [12] and speech commands [25]. We demonstrate an assistive robotic arm attached to the user which is solely guided by eye commands.…”
Section: Discussionmentioning
confidence: 97%
“…Thus optical, radar, magnetic or mechanical tracking of head location is currently necessary, unless the end-user is constrained by their disease or their head rest on a wheel-chair in their head movements. In conclusion, most examples in the literature accomplish three-dimensional control of robotic actuators by means of hybrid interfaces that combine eye-tracking for discrete target selection with other signal sources, such as depth sensors and computer vision [24], brain-machine interfaces [20], gestures [12] and speech commands [25]. We demonstrate an assistive robotic arm attached to the user which is solely guided by eye commands.…”
Section: Discussionmentioning
confidence: 97%