Brain Computer Interfaces for Silent Speech
Bibliographic Data
| ID | 12418048 |
|---|---|
| Authors | Yousef R Tabar (0000-0002-3860-565X, Middle East Technical University, corresponding author), Uğur Halıcı (0000-0002-2469-1163, Middle East Technical University), Ugur Halici |
| Year | 2016 |
| Volume | 25 |
| Issue | 2 |
| Pages | 208-230 |
| Publication date | 2016-12-22 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | European Review (JOURNAL) |
| Journal identifiers | ISSN: 1062-7987 • E-ISSN: 1474-0575 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s1062798716000569 |
| OpenAlex | W2562000066 |
| Language | EN |
| References cited | 94 |
Brain Computer Interface (BCI) systems provide control of external devices by using only brain activity. In recent years, there has been a great interest in developing BCI systems for different applications. These systems are capable of solving daily life problems for both healthy and disabled people. One of the most important applications of BCI is to provide communication for disabled people that are totally paralysed. In this paper, different parts of a BCI system and different methods used in each part are reviewed. Neuroimaging devices, with an emphasis on EEG (electroencephalography), are presented and brain activities as well as signal processing methods used in EEG-based BCIs are explained in detail. Current methods and paradigms in BCI based speech communication are considered
Brain activity and meditation · Brain–computer interface · Electroencephalography · Human–computer interaction · Interface (matter · Neuroimaging · Speech recognition · Advanced Memory and Neural Computing · Computer Science · EEG and Brain-Computer Interfaces · Neuroscience · Neuroscience and Neural Engineering · Psychology
| Highly cited | No |
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