Mr. Jiarui Zhang Profile

Jiarui Zhang

at Air Force Engineering Univ

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 | 29 October 2018 Paper

EEG-based emotion recognition by analyzing multi-frequency bands

Jiarui Zhang, Gang Wang, Siyuan Wang

Proceedings Volume 10836, 108361V (2018) https://doi.org/10.1117/12.2326658

KEYWORDS: Electroencephalography, Electrodes, Signal processing, Wavelets, Neural networks, Feature extraction, Signal detection, Time-frequency analysis, Machine learning, Analytical research

Read Abstract +

As an important research top in human-computer interaction, the relationship between electroencephalogram (EEG) and emotion recognition has attracted wide attention，however, the partial accuracy of emotion recognition is low. For improving the accuracy rate, original EEG signal is filtered to 5 bands (δ, θ, α, β, γ) then the Differential Entropy (DE), Power Spectral Density (PSD), Wavelet Entropy (WE) and Approximate Entropy (ApEn) are selected by feature extraction method. Finally, we select the features and use the support vector machine (SVM), KNN, Naive Bayes classifier and the neural network for classification learning. A large number of data generated by 62 channels is inconvenient to calculate, in this paper, we use SVM for training DE feature to get the higher accuracy with four different electrode placement methods. Through the study we found that the overall accuracy is generally higher than the accuracy of each frequency band. The high frequency band in emotional activities play a more important role than the low frequency band. Smaller band and channels can also achieve the high accuracy.

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