Electrooculograms for Human–Computer Interaction: A Review
Eye movements generate electric signals, which a user can employ to control his/her environment and communicate with others. This paper presents a review of previous studies on such electric signals, that is, electrooculograms (EOGs), from the perspective of human−computer interaction (HCI...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-06-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/12/2690 |
| _version_ | 1811305198313799680 |
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| author | Won-Du Chang |
| author_facet | Won-Du Chang |
| author_sort | Won-Du Chang |
| collection | DOAJ |
| description | Eye movements generate electric signals, which a user can employ to control his/her environment and communicate with others. This paper presents a review of previous studies on such electric signals, that is, electrooculograms (EOGs), from the perspective of human−computer interaction (HCI). EOGs represent one of the easiest means to estimate eye movements by using a low-cost device, and have been often considered and utilized for HCI applications, such as to facilitate typing on a virtual keyboard, moving a mouse, or controlling a wheelchair. The objective of this study is to summarize the experimental procedures of previous studies and provide a guide for researchers interested in this field. In this work the basic characteristics of EOGs, associated measurements, and signal processing and pattern recognition algorithms are briefly reviewed, and various applications reported in the existing literature are listed. It is expected that EOGs will be a useful source of communication in virtual reality environments, and can act as a valuable communication tools for people with amyotrophic lateral sclerosis. |
| first_indexed | 2024-04-13T08:21:04Z |
| format | Article |
| id | doaj.art-455ddbb10ece48139d790cfd13653e3d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T08:21:04Z |
| publishDate | 2019-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-455ddbb10ece48139d790cfd13653e3d2022-12-22T02:54:38ZengMDPI AGSensors1424-82202019-06-011912269010.3390/s19122690s19122690Electrooculograms for Human–Computer Interaction: A ReviewWon-Du Chang0School of Electronic and Biomedical Engineering, Tongmyong University, Busan 48520, KoreaEye movements generate electric signals, which a user can employ to control his/her environment and communicate with others. This paper presents a review of previous studies on such electric signals, that is, electrooculograms (EOGs), from the perspective of human−computer interaction (HCI). EOGs represent one of the easiest means to estimate eye movements by using a low-cost device, and have been often considered and utilized for HCI applications, such as to facilitate typing on a virtual keyboard, moving a mouse, or controlling a wheelchair. The objective of this study is to summarize the experimental procedures of previous studies and provide a guide for researchers interested in this field. In this work the basic characteristics of EOGs, associated measurements, and signal processing and pattern recognition algorithms are briefly reviewed, and various applications reported in the existing literature are listed. It is expected that EOGs will be a useful source of communication in virtual reality environments, and can act as a valuable communication tools for people with amyotrophic lateral sclerosis.https://www.mdpi.com/1424-8220/19/12/2690electrooculogram (EOG)bio-signal processingEOG calibrationeye-tracking |
| spellingShingle | Won-Du Chang Electrooculograms for Human–Computer Interaction: A Review Sensors electrooculogram (EOG) bio-signal processing EOG calibration eye-tracking |
| title | Electrooculograms for Human–Computer Interaction: A Review |
| title_full | Electrooculograms for Human–Computer Interaction: A Review |
| title_fullStr | Electrooculograms for Human–Computer Interaction: A Review |
| title_full_unstemmed | Electrooculograms for Human–Computer Interaction: A Review |
| title_short | Electrooculograms for Human–Computer Interaction: A Review |
| title_sort | electrooculograms for human computer interaction a review |
| topic | electrooculogram (EOG) bio-signal processing EOG calibration eye-tracking |
| url | https://www.mdpi.com/1424-8220/19/12/2690 |
| work_keys_str_mv | AT wonduchang electrooculogramsforhumancomputerinteractionareview |