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.
|Journal||MATEC Web of Conferences|
|Publication status||Published - May 24 2016|
|Event||2016 International Conference on Frontiers of Sensors Technologies, ICFST 2016 - Hong Kong, Hong Kong|
Duration: Mar 12 2016 → Mar 14 2016
ASJC Scopus subject areas
- Materials Science(all)