Designing a low-cost eyeball tracking keyboard for paralyzed people

Zeenat Al-Kassim, Qurban Ali Memon

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

This paper aims at designing a scanning keyboard that serves people with paralysis. This keyboard works on detection and tracking of the user eyeball movements. The main objective of this research work is to implement a simple and less expensive technique that produces the best possible results with a higher level of accuracy. The design of the system is done in phases; these are eye detection and tracking, followed by classification. The tracking phase incorporates skin color segmentation, black pupil detection and support vector machines. We also explored the role of eye red-channel, eye width and height for eye tracking. A scanning keyboard is developed and tested to work with three eyeball movements with 90% double detection accuracy. The performance of the algorithm is experimentally analyzed and the benefits of the proposed approach are highlighted. Also, the simulation results are presented.

Original languageEnglish
Pages (from-to)20-29
Number of pages10
JournalComputers and Electrical Engineering
Volume58
DOIs
Publication statusPublished - Feb 1 2017

Keywords

  • Eyeball tracking
  • Partner assisted scanning
  • Skin color segmentation
  • Support vector machine
  • Technology assisted communication

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)
  • Electrical and Electronic Engineering

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