Details

Autor(en) / Beteiligte

• Abdallah, Nassib
• Daya, Bassam
• Khawandi, Shadi
• Chauvet, Pierre

Titel

Electroencephalographic based brain computer interface for unspoken speech

Ist Teil von

• 2017 Sensors Networks Smart and Emerging Technologies (SENSET), 2017, p.1-4

Ort / Verlag

IEEE

Erscheinungsjahr

2017

Quelle

IEEE/IET Electronic Library (IEL)

Beschreibungen/Notizen

• This paper presents a Brain Computer Interface methodology for unspoken speech recognition based on Electroencephalography (EEG). Each phase within this approach is presented and discussed, followed by the noise elimination methodology and ends up by features extraction and data classification. The presented work consists of database construction with features vectors that will be classified into different classes by applying an articial neural network with three layers. The proposed approach provides results with high percentage of recognition (93% Testing, 95% Validation) when applied on two English words ON/OFF acquired from 2 different resources.