Eye tracking system
This report describes the design and development process of a brain-computer interface (BCI) based eye tracking system which provides locked-in patients a different way of communication through eye movement. The eye tracking system is developed using C++ programming language and utilized OpenCV libr...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2010
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/40779 |
| _version_ | 1826117221893537792 |
|---|---|
| author | Soo, Wei Ann. |
| author2 | Song Qing |
| author_facet | Song Qing Soo, Wei Ann. |
| author_sort | Soo, Wei Ann. |
| collection | NTU |
| description | This report describes the design and development process of a brain-computer interface (BCI) based eye tracking system which provides locked-in patients a different way of communication through eye movement. The eye tracking system is developed using C++ programming language and utilized OpenCV library. It is able to continuously track and determine the target buttons being activated. Steady state visual evoked potential (SSVEP) concept is being integrated to the system by implementing a flickering stimulus in order to increase the reliability and robustness of the system. Ten healthy undergraduates participated in the validation of the system. Validation results showed a system accuracy of 91.25%. It achieves better performance as compared to the past system developed. The new eye tracking system has the advantages of being low cost, ease of operation, requires little training and can be personalized to any iris colour. |
| first_indexed | 2024-10-01T04:24:06Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/40779 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:24:06Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | ntu-10356/407792023-07-07T16:13:02Z Eye tracking system Soo, Wei Ann. Song Qing School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics This report describes the design and development process of a brain-computer interface (BCI) based eye tracking system which provides locked-in patients a different way of communication through eye movement. The eye tracking system is developed using C++ programming language and utilized OpenCV library. It is able to continuously track and determine the target buttons being activated. Steady state visual evoked potential (SSVEP) concept is being integrated to the system by implementing a flickering stimulus in order to increase the reliability and robustness of the system. Ten healthy undergraduates participated in the validation of the system. Validation results showed a system accuracy of 91.25%. It achieves better performance as compared to the past system developed. The new eye tracking system has the advantages of being low cost, ease of operation, requires little training and can be personalized to any iris colour. Bachelor of Engineering 2010-06-21T08:52:53Z 2010-06-21T08:52:53Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/40779 en Nanyang Technological University 47 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Soo, Wei Ann. Eye tracking system |
| title | Eye tracking system |
| title_full | Eye tracking system |
| title_fullStr | Eye tracking system |
| title_full_unstemmed | Eye tracking system |
| title_short | Eye tracking system |
| title_sort | eye tracking system |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics |
| url | http://hdl.handle.net/10356/40779 |
| work_keys_str_mv | AT sooweiann eyetrackingsystem |