Brainwaves feature classification by applying K-Means clustering using single-sensor EEG
The use of brainwave signal is a step in the introduction of the individual identity using biometric technology based on characteristics of the body. Brainwave signal has unique characteristics and different on each individual because the brainwave cannot be read or copied by people so it is not pos...
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Format: | EJournal Article |
Published: |
Universitas Ahmad Dahlan,
2016-11-30.
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Online Access: | Get Fulltext |
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