Ismail, Nur Syahmi (2016) Development Of An Eye Gaze Detection For Neuro-Linguistic Programming (NLP) Approach. Project Report. UTeM, Melaka, Malaysia. (Submitted)
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Development Of An Eye Gaze Detection For Neuro-Linguistic Programming (NLP) Approach.pdf - Submitted Version Download (455kB) |
Abstract
Have you ever noticed that people's eyes move when they are thinking? The eye movement or eye gaze is valuable information that can provides us with clues as to whether they are thinking in image, audio or feeling. Eye Accessing Cue of Neuro-Linguistic Programming created in 1970s has provided analysis and explanation of the eye gaze. NLP practioner have been reading the eye gaze manually for ages but the manual eye gaze detection is low on accuracy and flexibility, thus this project is design to improve that deficiencies. This system is specially build to help the NLP practioner to detect eye gaze automatically and analyzed it based on EAC of NLP. MATLAB software is used to develop the algorithm and to design the Graphical User Interface (GUI). Kanade-Lucas-Tomasi (KLT) feature tracker is used as the implementation method. Outcome of this project shown in GUI will display the analysis of the eye gaze based on EAC.
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | Human-computer interaction, User interfaces (Computer systems), Eye -- Movements |
Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics |
Divisions: | Faculty of Electronics and Computer Engineering |
Depositing User: | Muhammad Afiz Ahmad |
Date Deposited: | 13 Jul 2017 07:40 |
Last Modified: | 13 Jul 2017 07:40 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/18629 |
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