Ms. Theresa Neubig Profile

Theresa Neubig

at US Naval Academy

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 2 May 2019 Presentation + Paper

Recognition of imagined speech using electroencephalogram signals

Theresa Neubig, Louiza Sellami

Proceedings Volume 11020, 110200V (2019) https://doi.org/10.1117/12.2519028

KEYWORDS: Electroencephalography, Calibration, Signal processing, Brain, Fourier transforms, Principal component analysis, Feature extraction, Data modeling

Read Abstract +

Mind reading, or imagined speech recognition, has many real-world applications including silent communication between soldiers in a combat zone, lie-detectors, and even communication with stroke victims who are fully coherent but unable to produce verbal speech. However, while previous research has shown that using electroen- cephalography (EEG) to read imagined speech is certainly possible, it is currently impractical because each EEG device can be calibrated for only one person. No calibration test has been developed to allow the same EEG device to accurately read the imagined speech of different people. A calibration test is necessary because different people have different neurons firing even when thinking of the same letter, word, syllable, etc. For example, the neurons that fire when person A thinks of the letter ’a’ is different than those fired when person B thinks of the same letter. In this paper, and as a first step we demonstrate the possibility of reading a brain using noninvasive (EEG) technology. Further an algorithm is developed to calibrate the same device for different subjects. This is accomplished first by gathering raw EEG data, performing pre-processing on that data, performing feature extraction, and finally using speech classification to match the EEG data. Further, two different calibration methods are tested: additional mini-training sets for each person, and a group of normalized training sets, and the results are presented.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years