Electro-oculogram-based typing system
Patients with amyotrophic lateral sclerosis or other tetraplegic clinical conditions (e.g., the locked-in syndrome) have severe disabilities in moving their whole bodies, yet retain their brain’s cognitive functions. Some of these patients can only move their eyeballs [1]. In order to enable comm...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2011
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| Online Access: | http://hdl.handle.net/10356/44868 |
| _version_ | 1826129149128867840 |
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| author | Amarnath, Siddhesh |
| author2 | Vinod Achutavarrier Prasad |
| author_facet | Vinod Achutavarrier Prasad Amarnath, Siddhesh |
| author_sort | Amarnath, Siddhesh |
| collection | NTU |
| description | Patients with amyotrophic lateral sclerosis or other tetraplegic clinical conditions (e.g.,
the locked-in syndrome) have severe disabilities in moving their whole bodies, yet
retain their brain’s cognitive functions. Some of these patients can only move their
eyeballs [1]. In order to enable communication with the patients’ environment, various
HCIs (Human-Computer Interfaces) have been proposed. One of the popular HCIs for
such applications is based on Electro-oculogram (EOG) signals.
During the course of the project, the author attempted to implement an EOG based
human- computer interface. It is composed of four parts: EOG signal amplifying and
acquisition (hardware circuit), interaction with the PC using parallel port, EOG pattern
detection algorithms using the PC and usage of the detected movements for an onscreen
virtual keyboard interface. The PC-based virtual keyboard interface would
enable the user to select keys on the screen by use of his/her eye movements, thus
enabling him/her to type what he/she wishes to convey. |
| first_indexed | 2024-10-01T07:36:17Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/44868 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:36:17Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | ntu-10356/448682023-03-03T20:40:07Z Electro-oculogram-based typing system Amarnath, Siddhesh Vinod Achutavarrier Prasad School of Computer Engineering DRNTU::Engineering::Computer science and engineering Patients with amyotrophic lateral sclerosis or other tetraplegic clinical conditions (e.g., the locked-in syndrome) have severe disabilities in moving their whole bodies, yet retain their brain’s cognitive functions. Some of these patients can only move their eyeballs [1]. In order to enable communication with the patients’ environment, various HCIs (Human-Computer Interfaces) have been proposed. One of the popular HCIs for such applications is based on Electro-oculogram (EOG) signals. During the course of the project, the author attempted to implement an EOG based human- computer interface. It is composed of four parts: EOG signal amplifying and acquisition (hardware circuit), interaction with the PC using parallel port, EOG pattern detection algorithms using the PC and usage of the detected movements for an onscreen virtual keyboard interface. The PC-based virtual keyboard interface would enable the user to select keys on the screen by use of his/her eye movements, thus enabling him/her to type what he/she wishes to convey. Bachelor of Engineering (Computer Engineering) 2011-06-06T07:12:58Z 2011-06-06T07:12:58Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/44868 en Nanyang Technological University 84 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Amarnath, Siddhesh Electro-oculogram-based typing system |
| title | Electro-oculogram-based typing system |
| title_full | Electro-oculogram-based typing system |
| title_fullStr | Electro-oculogram-based typing system |
| title_full_unstemmed | Electro-oculogram-based typing system |
| title_short | Electro-oculogram-based typing system |
| title_sort | electro oculogram based typing system |
| topic | DRNTU::Engineering::Computer science and engineering |
| url | http://hdl.handle.net/10356/44868 |
| work_keys_str_mv | AT amarnathsiddhesh electrooculogrambasedtypingsystem |