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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dhillon, H.S. Singla, R. Rekhi, N.S. Jha, R. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Instrumentation and Control Engineering, Dr. B R Ambedkar National Institute of Technology, Jalandhar (Pb.), India (Dhillon, H.S.; Singla, R.; Rekhi, N.S.; Jha, R.) |
| Abstract | This paper discusses a brain-computer interface through electrooculogram (EOG) and electromyogram (EMG) signals. In situations of disease or trauma, there may be inability to communicate with others through means such as speech or typing. Eye movement tends to be one of the last remaining active muscle capabilities for people with neurodegenerative disorders, such as amyotrophic lateral sclerosis (ALS) also known as Lou Gehrig's disease. Thus, there is a need for eye movement based systems to enable communication. To meet this need, we proposed a system to accept eye-gaze controlled navigation of a particular letter and EMG based click to enter the letter. Eye -gaze direction (angle) is obtained from EOG signals and EMG signal is recorded from eyebrow muscle activity. A virtual screen keyboard may be used to examine the usability of the proposed system. |
| Starting Page | 259 |
| Ending Page | 262 |
| File Size | 121006 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424445196 |
| DOI | 10.1109/ICCSIT.2009.5234951 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Electrooculography Navigation Communication system control Muscles Control systems eye-gaze amyotrophic lateral sclerosis (ALS) Diseases Keyboards Speech virtual keyboard Electromyography EOG EMG Brain computer interfaces |
| Content Type | Text |
| Resource Type | Article |
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