Eye Motion Analysis

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Introduction

With eye movement analysis systems it is possible to record eye target and following movements. On the basis of these measured variables, it is possible to draw conclusions about the distribution of attention and the information processing of the test person and to evaluate the design of products and processes with regard to their usability. The IAD has one current “Dikablis” eye-tracking system and also has the possibility with the help of the virtual reality headset “HTC Vive Pro Eye” to record the eye movements of test subjects in studies conducted in virtual reality.

Technology

The recording of eye movements in eye-tracking systems is basically done by video-oculography. Here, the eye movements are determined by means of video recordings. Mobile eye-tracking systems have cameras that film the subject's eyes as well as a scene camera that records the subject's surroundings.

To detect eye movements, an infrared light beam, which is not perceptible to humans, is projected through the pupil onto the retina. The cameras detect the pupil as well as the reflex points of the infrared beam on the cornea. The relative distance between the two points can then be used to determine the eye movement.

The mobile “Dikablis” eye-tracking system for glasses is mostly used when the mobility of the user must not be restricted, for example during examinations in vehicles or during process analysis in factories. The “HTC Vive Pro Eye” headset also does not restrict the user's freedom of movement and is used to capture eye movements in virtual reality.

Application

The eye-tracking system can be used in different fields of application. The video clip shows the eye behaviour recorded with the help of the “Dikablis” system during a simulated highly automated drive while simultaneously performing an activity unrelated to the drive (a so-called non-driving related task). The red cross symbolises the current fixation of a gaze. So-called “Areas of Interest” (AoI) such as “windshield” and “tablet” in this application case can be defined and thus the time required between the task change can be determined.