Name
Abstract | ||
|---|---|---|
This paper presents a camera-less eye tracker. Composed of 2 parts, an instrumented contact lens and spectacles, its principle consists in computing a barycenter based on the light intensity variations received from the spectacles onto the lens. To demonstrate both the method and the achieved accuracy it yields, a prototype lens fitted with 4 infrared sensors has been fabricated and tested. Based on measured photo-currents, simulations, both behavioral and at transistor level (AMS 0.35 μm CMOS), show an accuracy of 0.1° can be achieved. Which is a significant improvement to the 1° camera-base eye trackers offer. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/NEWCAS44328.2019.8961304 | 2019 17th IEEE International New Circuits and Systems Conference (NEWCAS) |
Keywords | Field | DocType |
eye tracker,telemetry,subthreshold CMOS | Computer vision,BitTorrent tracker,Computer science,Contact lens,Electronic engineering,CMOS,Eye tracking,Artificial intelligence,Transistor,Subthreshold cmos | Conference |
ISSN | ISBN | Citations |
2472-467X | 978-1-7281-1032-5 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Loïc Massin | 1 | 0 | 0.34 |
| Cyril Lahuec | 2 | 29 | 9.17 |
| Vincent Nourrit | 3 | 0 | 0.34 |
| Fabrice Seguin | 4 | 36 | 16.02 |
| Jean-Louis de Bougrenet | 5 | 0 | 1.01 |