Investigating camera calibration for eye tracking of the physically challenged
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 solve...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2016-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | http://dx.doi.org/10.1051/matecconf/20165908003 |
| _version_ | 1818326399317966848 |
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| author | Al-Kassim Zeenat Memon Qurban |
| author_facet | Al-Kassim Zeenat Memon Qurban |
| author_sort | Al-Kassim Zeenat |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-13T11:59:45Z |
| format | Article |
| id | doaj.art-2a0e3122ffba454f9a0bc92fc6a71049 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-13T11:59:45Z |
| publishDate | 2016-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-2a0e3122ffba454f9a0bc92fc6a710492022-12-21T23:47:07ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01590800310.1051/matecconf/20165908003matecconf_icfst2016_08003Investigating camera calibration for eye tracking of the physically challengedAl-Kassim ZeenatMemon QurbanThis 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.http://dx.doi.org/10.1051/matecconf/20165908003 |
| spellingShingle | Al-Kassim Zeenat Memon Qurban Investigating camera calibration for eye tracking of the physically challenged MATEC Web of Conferences |
| title | Investigating camera calibration for eye tracking of the physically challenged |
| title_full | Investigating camera calibration for eye tracking of the physically challenged |
| title_fullStr | Investigating camera calibration for eye tracking of the physically challenged |
| title_full_unstemmed | Investigating camera calibration for eye tracking of the physically challenged |
| title_short | Investigating camera calibration for eye tracking of the physically challenged |
| title_sort | investigating camera calibration for eye tracking of the physically challenged |
| url | http://dx.doi.org/10.1051/matecconf/20165908003 |
| work_keys_str_mv | AT alkassimzeenat investigatingcameracalibrationforeyetrackingofthephysicallychallenged AT memonqurban investigatingcameracalibrationforeyetrackingofthephysicallychallenged |