Investigation of electroencephalogram (EEG) sensor position for brain-controlled home automation
Electroencephalogram (EEG) signals are widely employed in Brain-Computer Interface (BCI) or Human–Machine Interface (HMI) technique to provide assistive technology that can be used by paralyzed or disabled people. BCI or HMI technique will let paralyzed people to operate home automation such as lamp...
| Main Authors: | Norizam, Sulaiman, Ailis Aimylia, Hasim, Islam, Md Nahidul, Mahfuzah, Mustafa, Mohd Shawal, Jadin |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Springer Science and Business Media Deutschland GmbH
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/39460/ http://umpir.ump.edu.my/id/eprint/39460/1/Investigation%20of%20Electroencephalogram%20%28EEG%29%20Sensor%20Position%20for%20Brain.pdf http://umpir.ump.edu.my/id/eprint/39460/2/Investigation%20of%20electroencephalogram%20%28EEG%29%20sensor%20position%20for%20brain-controlled%20home%20automation_ABS.pdf |
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