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Article Dans Une Revue IEEE Sensors Journal Année : 2021

Smart Contact Lens Applied to Gaze Tracking

Loic Massin
Vincent Nourrit
Jean-Louis de Bougrenet de La Tocnaye
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Résumé

Most current eye-trackers are camera-based and rely on image processing. To improve gaze tracking accuracy, this paper presents a new approach based on a camera-less gaze tracking system using a smart contact lens. A scleral lens is fitted with photodetectors illuminated by specific spectacles. Photo-currents vary with eye movements as the light photodetectors received varies. The gaze direction is obtained then by computing a barycenter from the photo-currents by means of an integrated circuit implemented on the lens and powered using an inductive link. Experimental measurements with a prototype lens fitted with four infrared photodiodes and mounted on an artificial eyeball validate the method. Designed for the AMS 0.35-μm CMOS process, a 170 μW integrated circuit is proposed, including a subthreshold analog barycenter computation unit and an analog-to-digital converter. Monte Carlo analysis based on the circuit layout and measured photo-currents shows an accuracy of 0.2° can be achieved. This is 2.5 times better than current camera-based eye-trackers.
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Dates et versions

hal-03358544 , version 1 (29-09-2021)

Identifiants

Citer

Loic Massin, Fabrice Seguin, Vincent Nourrit, Emmanuel Daniel, Jean-Louis de Bougrenet de La Tocnaye, et al.. Smart Contact Lens Applied to Gaze Tracking. IEEE Sensors Journal, 2021, 21 (1), pp.455-463. ⟨10.1109/JSEN.2020.3012710⟩. ⟨hal-03358544⟩
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