Implementation of Fuzzy Logic System for Motor Motion Generation Based on Electrooculogram / Nurul Muthmainnah Mohd Noor...[et al.]
Electrooculography (EOG) is a technique that sensed eye movement based on recording of the standing cornea-retinal potential that existing between the cornea and retina. This electrooculography signal is known as electrooculogram that can be used to control the human machine interface (HMI) such as...
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| Format: | Article |
| Language: | English |
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Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM)
2015
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/36301/ |
| _version_ | 1848809015131242496 |
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| author | Mohd Noor, Nurul Muthmainnah Yusof, Ya’akub Khairoll Anuar, Ikhmal Nazmi |
| author_facet | Mohd Noor, Nurul Muthmainnah Yusof, Ya’akub Khairoll Anuar, Ikhmal Nazmi |
| author_sort | Mohd Noor, Nurul Muthmainnah |
| building | UiTM Institutional Repository |
| collection | Online Access |
| description | Electrooculography (EOG) is a technique that sensed eye movement based on recording of the standing cornea-retinal potential that existing between the cornea and retina. This electrooculography signal is known as electrooculogram that can be used to control the human machine interface (HMI) such as a wheelchair motion. The aim of this project was to control the motor by using EOG signals. The signals of eye movements were acquired using the EOG circuit. These data were passed to the fuzzy logic controller that was developed using MATLAB. As a result, the two DC motors were able to operate according to the rules set of fuzzy logic using the eye signals as inputs. The limitation of this project was the fuzzy logic controller rules and the membership functions were developed using MATLAB and then converted into Arduino coding. The Arduino Mega 2560 acts as the interface between the EOG circuit and DC motors. Then, the fuzzy logic controller was integrated into Arduino Mega 2560 in order to control the motion of motor. Besides, there were four (4) subjects, two males and two female, selected for the EOG data acquisition. |
| first_indexed | 2025-11-14T23:07:53Z |
| format | Article |
| id | uitm-36301 |
| institution | Universiti Teknologi MARA |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T23:07:53Z |
| publishDate | 2015 |
| publisher | Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uitm-363012020-11-09T03:34:14Z https://ir.uitm.edu.my/id/eprint/36301/ Implementation of Fuzzy Logic System for Motor Motion Generation Based on Electrooculogram / Nurul Muthmainnah Mohd Noor...[et al.] jmeche Mohd Noor, Nurul Muthmainnah Yusof, Ya’akub Khairoll Anuar, Ikhmal Nazmi TJ Mechanical engineering and machinery Electrooculography (EOG) is a technique that sensed eye movement based on recording of the standing cornea-retinal potential that existing between the cornea and retina. This electrooculography signal is known as electrooculogram that can be used to control the human machine interface (HMI) such as a wheelchair motion. The aim of this project was to control the motor by using EOG signals. The signals of eye movements were acquired using the EOG circuit. These data were passed to the fuzzy logic controller that was developed using MATLAB. As a result, the two DC motors were able to operate according to the rules set of fuzzy logic using the eye signals as inputs. The limitation of this project was the fuzzy logic controller rules and the membership functions were developed using MATLAB and then converted into Arduino coding. The Arduino Mega 2560 acts as the interface between the EOG circuit and DC motors. Then, the fuzzy logic controller was integrated into Arduino Mega 2560 in order to control the motion of motor. Besides, there were four (4) subjects, two males and two female, selected for the EOG data acquisition. Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM) 2015 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/36301/1/36301.pdf Mohd Noor, Nurul Muthmainnah and Yusof, Ya’akub and Khairoll Anuar, Ikhmal Nazmi (2015) Implementation of Fuzzy Logic System for Motor Motion Generation Based on Electrooculogram / Nurul Muthmainnah Mohd Noor...[et al.]. (2015) Journal of Mechanical Engineering (JMechE) <https://ir.uitm.edu.my/view/publication/Journal_of_Mechanical_Engineering_=28JMechE=29.html>, 15 (1). pp. 143-155. ISSN 1823-5514 ; 2550-164X https://jmeche.uitm.edu.my/ |
| spellingShingle | TJ Mechanical engineering and machinery Mohd Noor, Nurul Muthmainnah Yusof, Ya’akub Khairoll Anuar, Ikhmal Nazmi Implementation of Fuzzy Logic System for Motor Motion Generation Based on Electrooculogram / Nurul Muthmainnah Mohd Noor...[et al.] |
| title | Implementation of Fuzzy Logic System for Motor Motion Generation Based on Electrooculogram / Nurul Muthmainnah Mohd Noor...[et al.] |
| title_full | Implementation of Fuzzy Logic System for Motor Motion Generation Based on Electrooculogram / Nurul Muthmainnah Mohd Noor...[et al.] |
| title_fullStr | Implementation of Fuzzy Logic System for Motor Motion Generation Based on Electrooculogram / Nurul Muthmainnah Mohd Noor...[et al.] |
| title_full_unstemmed | Implementation of Fuzzy Logic System for Motor Motion Generation Based on Electrooculogram / Nurul Muthmainnah Mohd Noor...[et al.] |
| title_short | Implementation of Fuzzy Logic System for Motor Motion Generation Based on Electrooculogram / Nurul Muthmainnah Mohd Noor...[et al.] |
| title_sort | implementation of fuzzy logic system for motor motion generation based on electrooculogram / nurul muthmainnah mohd noor...[et al.] |
| topic | TJ Mechanical engineering and machinery |
| url | https://ir.uitm.edu.my/id/eprint/36301/ https://ir.uitm.edu.my/id/eprint/36301/ |