2021
DOI: 10.31987/ijict.4.3.148
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A Proposed Sign Language Model for Speechless Persons Using Eeg Signals

Abstract: Recently, algorithms of machine learning are widely used with the field of electroencephalography (EEG)-Brain-Computer interfaces (BCI). In this paper, a sign language software model based on the EEG brain signal was implemented, to help the speechless persons to communicate their thoughts to others.  The preprocessing stage for the EEG signals was performed by applying the Principle Component Analysis (PCA) algorithm to extract the important features and reducing the data redundancy. A model for classifying t… Show more

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Cited by 3 publications
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