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Battery-Free Eye Tracker on Glasses

Published: 01 October 2018 Publication History

Abstract

We propose the design of a battery-free wearable eye tracker that achieves sub-millimeter tracking accuracy at high tracking rates. It tracks pupil's 2D position based on pupil's light absorption effect. With a few near-infrared (NIR) lights and photodiodes around the eye, NIR lights sequentially illuminate the eye from various directions while photodiodes sense spatial patterns of reflected light, which are used to infer pupil positions on the fly through a lightweight inference algorithm. The system also exploits characteristics of different eye movement stages and adjusts its sensing and computation accordingly for further energy savings. We have built a prototype with off-the-shelf hardware components and integrated it into a regular pair of glasses. Experiments with ten participants show that the system achieves 0.9-mm mean tracking accuracy (2.4 mm at the 95th percentile) at 120-Hz output frame rate, consuming 395 -W mean power supplied by two small, thin solar cells on glasses side arms.

References

[1]
A. Bulling, J. A. Ward, H. Gellersen, and G. Troster. 2011. Eye Movement Analysis for Activity Recognition Using Electrooculography. IEEE Transactions on Pattern Analysis and Machine Intelligence 33, 4 (April 2011), 741--753.
[2]
Tianqi Chen and Carlos Guestrin. 2016. Xgboost: A scalable tree boosting system. In Proc. of SIGKDD.
[3]
AH Clarke, J Ditterich, K Drüen, U Schönfeld, and C Steineke. 2002. Using high frame rate CMOS sensors for three-dimensional eye tracking. Behavior Research Methods, Instruments, & Computers 34, 4 (2002), 549--560.
[4]
William G Iacono, Margaret Moreau, Morton Beiser, Jonathan AE Fleming, and Tsung-Yi Lin. 1992. Smooth-pursuit eye tracking in first- episode psychotic patients and their relatives. Journal of Abnormal Psychology 101, 1 (1992), 104.
[5]
Tianxing Li, Qiang Liu, and Xia Zhou. 2017. Ultra-Low Power Gaze Tracking for Virtual Reality. In Proc. of SenSys.
[6]
Simon P. Liversedge and John M. Findlay. 2000. Saccadic eye movements and cognition. Trends in Cognitive Sciences 4, 1 (2000), 6 -- 14.
[7]
Addison Mayberry, Yamin Tun, Pan Hu, Duncan Smith-Freedman, Deepak Ganesan, Benjamin M Marlin, and Christopher Salthouse. 2015. CIDER: Enabling robustness-power tradeoffs on a computational eyeglass. In Proc. of MobiCom.
[8]
James L. Reilly, Rebekka Lencer, Jeffrey R. Bishop, Sarah Keedy, and John A. Sweeney. 2008. Pharmacological treatment effects on eye movement control. Brain and Cognition 68, 3 (2008), 415 -- 435.
[9]
Dario D. Salvucci. 1999. Inferring Intent in Eye-based Interfaces: Tracing Eye Movements with Process Models. In Proc. of CHI.
[10]
Louis L Scharf and Cédric Demeure. 1991. Statistical signal processing: detection, estimation, and time series analysis. Vol. 63. Addison-Wesley Reading, MA.
[11]
G. Waldman. 2002. Introduction to Light: The Physics of Light, Vision, and Color. Dover Publications.

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cover image ACM Conferences
S3 '18: Proceedings of the 10th on Wireless of the Students, by the Students, and for the Students Workshop
October 2018
37 pages
ISBN:9781450359320
DOI:10.1145/3264877
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 01 October 2018

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Author Tags

  1. gaze tracking
  2. infrared light sensing
  3. low power sensing

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MobiCom '18
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S3 '18 Paper Acceptance Rate 7 of 14 submissions, 50%;
Overall Acceptance Rate 65 of 93 submissions, 70%

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