Recognition of Unspoken Words Using Electrode Electroencephalograhic Signals
• 2014
معلومات البحث
المؤلفون
May Salama, Loay elsherif, haytham lashin, tarek Gamal
الكلمات المفتاحية
Not Available
المجلة العلمية
Not Available
الناشر
Not Available
المجلد
Not Available
العدد
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الصفحات
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publication.type
International
رابط البحث
Not Available
المواد المرفقة
Not Available
الملخص
Abstract—In this paper, the use of electroencephalograhic signals in recognizing unspoken speech is investigated. The aim of the work is to recognize two words, namely, Yes and No by using a single electrode electroencephalograhic device. Yes and No were selected based on the fact that they are the basic answers of any disabled person. The single electrode device was chosen because of its ease of setup, adjustment, and light weight; hence, most suitable also for disabled. Several neural networks were trained with 7 subjects. Online and offline testing were carried out on male and female subjects in semi quiet environment. Average recognition results reached were 57% for online testing and 59% offline, whereas maximum value for offline was 68% and online 90%. The novelty of the work is using a single electrode device, as all previous work was done on multi-electrode devices.
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