Investigating camera calibration for eye tracking of the physically challenged

Zeenat Al-Kassim, Qurban Memon

Research output: Contribution to journalConference articlepeer-review


This paper tries to address a problem faced by a proportion of community - the paralysed people, and investigates a solution in calibrating a camera used for the purpose of eye detection. The eye tracking is later used to read characters from a partner-assisted keyboard. As such, this keyboard solves the problem of immobility. In order to calibrate camera for the purpose of eye detection, two approaches are implemented-Artificial Neural Networks and Support Vector Machines in context of paralysed people, and are discussed in detail in this paper. The results of both approaches are compared in order to select the best approach to be used in keyboard that operates on eye tracking.

Original languageEnglish
Article number08003
JournalMATEC Web of Conferences
Publication statusPublished - May 24 2016
Externally publishedYes
Event2016 International Conference on Frontiers of Sensors Technologies, ICFST 2016 - Hong Kong, Hong Kong
Duration: Mar 12 2016Mar 14 2016

ASJC Scopus subject areas

  • General Chemistry
  • General Materials Science
  • General Engineering


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