Eyes

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New eye tracking techniques improve realism of aircraft

simulators

A simulated flight environment for pilot training may soon Custom Essays on eyes

be made more realistic through the use of eye-tracking

technology developed by researchers at the University of

Torontos Institute of Biomedical Engineering (IMBE).

Many safety and cost benefits are obtained by training aircraft

pilots under simulated conditions, but to be effective the

simulation must be convicingly realistic. At present, the

training facilities use large domes and gimballed projectors, or

an array of video screens, to display computer-generated images.

But these installations are very expensive and image resolution

is low. Further, it would take an enormous amount of addi to

improve image quality significantly throughout the whole viewed

scene.

However, based on the visual properties of the eye, realism can

be obtained by providing a high-resolution area of interest

insert within a large, low-resolution field of view. If the

image-generating computer knows where the pilots fixation is,

it mage there.

The technology to make this possible was developed by a research

team headed by Professor Richard Frecker and Professor Moshe

Eizenman. The work was carried out in collaboration with CAE

Electronics Ltd. of Montreal with financial support from the

Natural Sciences and Engineering Research Council of Canada.

Their eye-tracker can record and analyze accurately up to 500 eye

positions per second. The system works by means of capturing and

processing the reflections of a low-level beam of invisible

infra-red light shone onto the eye.

Multi-element arrays capture the image of the eye and digitize

the information, which is then processed in real time by a fast,

dedicated signal processing unit. The difference in position

between the ligh tre of the pupil reveals the instantaneous

direction of gaze.

Developments by the IBME team have significantly increased the

speed of signal processing in addition to enhancing accuracy

of eye position estimates. Eizenman believes that these

improvements make our eye-tracker very effective in monitoring

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