• DocumentCode
    1359165
  • Title

    A 200 \\mu s Processing Time Smart Image Sensor for an Eye Tracker Using Pixel-Level Analog Image Processing

  • Author

    Kim, Dongsoo ; Han, Gunhee

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
  • Volume
    44
  • Issue
    9
  • fYear
    2009
  • Firstpage
    2581
  • Lastpage
    2590
  • 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 times 60 smart CMOS image sensor (CIS) pixel array whose pixel pitch is 22.4 times 22.4 mum2 in a 0.35-mum CMOS process. The test results show plusmnradic(2) pixel error and 200-mus processing time. The power consumption is 100 mW with a 3.3 V supply voltage and the silicon area is 7.5 mm2.
  • Keywords
    CMOS image sensors; image processing; CMOS image sensor pixel array; eye tracker; floating gate capacitor; high power consumption; nonlinear circuit; pixel-level analog image processing; power 100 mW; power consumption; size 0.35 mum; smart image sensor; time 200 mus; voltage 3.3 V; CMOS image sensors; Capacitors; Computational Intelligence Society; Energy consumption; Image processing; Intelligent sensors; Nonlinear circuits; Prototypes; Sensor arrays; Smart pixels; CMOS image sensor (CIS); Cellular neural network; eye ball sensor; eye tracker; eye tracking; floating gate; glint removal; smart CIS; smart sensor; winner-take-all (WTA);
  • fLanguage
    English
  • Journal_Title
    Solid-State Circuits, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    0018-9200
  • Type

    jour

  • DOI
    10.1109/JSSC.2009.2021082
  • Filename
    5226706