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 journalArticle

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

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'A 200 μ s processing time smart image sensor for an eye tracker using pixel-level analog image processing'. Together they form a unique fingerprint.

  • Cite this