A Wireless Electrooculogram (EOG) Wearable Using Conductive Fiber Electrode
Electrooculography (EOG) is a technique for detecting electrical signals from the extra-ocular muscles. The EOG is a precise method for quantifying eye movements, including drowsiness-induced eye closure, and is also a promising technology for its potential use as a contributing mechanism for brain–...
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| Format: | Article |
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MDPI AG
2023-01-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/12/3/571 |
| _version_ | 1797624793423413248 |
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| author | Kee S. Moon Sung Q. Lee John S. Kang Andrew Hnat Deepa B. Karen |
| author_facet | Kee S. Moon Sung Q. Lee John S. Kang Andrew Hnat Deepa B. Karen |
| author_sort | Kee S. Moon |
| collection | DOAJ |
| description | Electrooculography (EOG) is a technique for detecting electrical signals from the extra-ocular muscles. The EOG is a precise method for quantifying eye movements, including drowsiness-induced eye closure, and is also a promising technology for its potential use as a contributing mechanism for brain–computer interface applications. Despite the fact that EOG signals change as humans move their eyes, it is still difficult to monitor eye movement patterns in natural behaviors, such as everyday activity. Wearable convenience is essential for obtaining EOG signals while moving freely. This paper proposes the development and use of semi-dry electrodes with low impedance and excellent wearability, as well as a small, portable device with wireless communication capabilities, to increase the likelihood of use in real-life scenarios. The semi-dry electrode produced by the electrospinning technique had an impedance that was 3.5 times lower than that of the existing dry electrode and demonstrated low impedance drift even after long-term use. Furthermore, three steps of eye motion separation were performed using a signal obtained from the wearable device. It was confirmed that the classification of eye movements was at a meaningful level. |
| first_indexed | 2024-03-11T09:47:36Z |
| format | Article |
| id | doaj.art-088b2e0208e9472fbfb78393d022d8bb |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T09:47:36Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-088b2e0208e9472fbfb78393d022d8bb2023-11-16T16:28:22ZengMDPI AGElectronics2079-92922023-01-0112357110.3390/electronics12030571A Wireless Electrooculogram (EOG) Wearable Using Conductive Fiber ElectrodeKee S. Moon0Sung Q. Lee1John S. Kang2Andrew Hnat3Deepa B. Karen4Department of Mechanical Engineering, College of Engineering, San Diego State University, San Diego, CA 92182, USAFuture & Basic Technology Research Division, ICT Creative Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon 34129, Republic of KoreaDepartment of Mechanical Engineering, College of Engineering, San Diego State University, San Diego, CA 92182, USADepartment of Mechanical Engineering, College of Engineering, San Diego State University, San Diego, CA 92182, USADepartment of Mechanical Engineering, College of Engineering, San Diego State University, San Diego, CA 92182, USAElectrooculography (EOG) is a technique for detecting electrical signals from the extra-ocular muscles. The EOG is a precise method for quantifying eye movements, including drowsiness-induced eye closure, and is also a promising technology for its potential use as a contributing mechanism for brain–computer interface applications. Despite the fact that EOG signals change as humans move their eyes, it is still difficult to monitor eye movement patterns in natural behaviors, such as everyday activity. Wearable convenience is essential for obtaining EOG signals while moving freely. This paper proposes the development and use of semi-dry electrodes with low impedance and excellent wearability, as well as a small, portable device with wireless communication capabilities, to increase the likelihood of use in real-life scenarios. The semi-dry electrode produced by the electrospinning technique had an impedance that was 3.5 times lower than that of the existing dry electrode and demonstrated low impedance drift even after long-term use. Furthermore, three steps of eye motion separation were performed using a signal obtained from the wearable device. It was confirmed that the classification of eye movements was at a meaningful level.https://www.mdpi.com/2079-9292/12/3/571biopotential electrodeelectrooculographyeveryday activity |
| spellingShingle | Kee S. Moon Sung Q. Lee John S. Kang Andrew Hnat Deepa B. Karen A Wireless Electrooculogram (EOG) Wearable Using Conductive Fiber Electrode Electronics biopotential electrode electrooculography everyday activity |
| title | A Wireless Electrooculogram (EOG) Wearable Using Conductive Fiber Electrode |
| title_full | A Wireless Electrooculogram (EOG) Wearable Using Conductive Fiber Electrode |
| title_fullStr | A Wireless Electrooculogram (EOG) Wearable Using Conductive Fiber Electrode |
| title_full_unstemmed | A Wireless Electrooculogram (EOG) Wearable Using Conductive Fiber Electrode |
| title_short | A Wireless Electrooculogram (EOG) Wearable Using Conductive Fiber Electrode |
| title_sort | wireless electrooculogram eog wearable using conductive fiber electrode |
| topic | biopotential electrode electrooculography everyday activity |
| url | https://www.mdpi.com/2079-9292/12/3/571 |
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