A 200 μ s processing time smart image sensor for an eye tracker using pixel-level analog image processing

Dongsoo Kim, Gunhee Han

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

This paper presents a smart sensor for an eye tracker using pixel-level analog image processing to eliminate the needs of many peripherals and the high power consumption of the conventional eye trackers. The pixel-level image processing was implemented with floating gate capacitors and nonlinear circuit computations. The prototype chip was fabricated for an 80 \,×\,60 smart CMOS Image Sensor (CIS) pixel array whose pixel pitch is 22.4 \,×\,22.4 μ m2 in a 0.35-μ m CMOS process. The test results show 2 pixel error and 200- μ s processing time. The power consumption is 100 mW with a 3.3 V supply voltage and the silicon area is 7.5 mm2.

Original languageEnglish
Article number5226706
Pages (from-to)2581-2590
Number of pages10
JournalIEEE Journal of Solid-State Circuits
Volume44
Issue number9
DOIs
Publication statusPublished - 2009 Sep

Bibliographical note

Funding Information:
The authors are grateful to Jihyun Cho and Seunghyun Lim for their assistance in designing and testing. The prototype chip fabrication was supported by Samsung Electronics Co. Ltd.

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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