0% Complete
صفحه اصلی
/
سی و دومین کنفرانس بین المللی مهندسی برق
Improving CCA-based methods for SSVEP classification using a common source graph
نویسندگان :
Nastaran Noori
1
Sepideh Hajipour Sardouie
2
1- دانشگاه صنعتی شریف
2- دانشگاه صنعتی شریف
کلمات کلیدی :
Brain Computer Interface،Steady State Visual Evoked Potentials،Canonical Correlation Analysis،Temporal Graph Structure
چکیده :
Steady State Visual Evoked Potential (SSVEP)-based Brain Computer Interfaces (BCIs) is one of the most prevalent methods in BCIs. The main purpose of these systems is to detect the frequency of SSVEP to understand which visual stimulus a person is looking at. Various methods have been proposed to detect the frequency of SSVEP. One of the most widely used methods is the Canonical Correlation Analysis (CCA) algorithm. Despite the simplicity and efficiency of the CCA algorithm, none of the methods based on CCA have incorporated the graph structure presented in the EEG and reference signals into the CCA cost function. In this paper, we introduce a novel approach that considers the graph structure between time samples of our signals. This additional graph information can be exploited to estimate more meaningful canonical coefficients. Based on this approach, we propose three algorithms: graph canonical correlation analysis (GCCA), fusing Graph canonical correlation analysis (FoGCCA), and individual-template Graph canonical correlation analysis (ITGCCA). Evaluating their performance on the SSVEP dataset, we achieve an average accuracy of 82.08% for the FoGCCA algorithm in a 1.5-second time window, which suggests the effectiveness of our methods.
لیست مقالات
لیست مقالات بایگانی شده
ارائه یک مبدل DC-DC منبع امپدانسی تک سوئیچه تک هسته مغناطیسی فوق افزاینده مناسب برای استفاده در کاربرد های انرژی نو
معصومه پرستش - سجاد رستمی
Experimental Study of Pick and Place Operation for Packaging Using Delta Parallel Robot with Two-Fingered Gripper
Mona Mohades Mojtahedi - Arvin Mohammadi - Mehdi Tale Masouleh
An Optimal Investigation into A Preventive Maintenance Scheduling Scheme for Electric Power Transmission Networks
Seyed Sina Taheri Otaghsara - Masoud Asghari Gharakheili
HIV Virus States Estimation by Extended Kalman Particle Filter
Meysam Hooshmand - Mahtab Sharifian - Hamid Sharifian - Javad Mahmoudi
Multi-agent H-Learning Based Cooperative Spectrum Sensing for Cognitive Radio Networks
Elaheh Karimpour Fard - Mahdi Nouri - Hamid Behroozi - Sima Sobhi-Givi
Explorable Grasp Pose Detection for Two-Finger Robot Handover
AliReza Beigy - Mehdi Tale Masouleh - Ahmad Kalhor
Partial Image Encryption of Faces Based on Chaotic Maps and Elliptic Curve Cryptography
Ali Soleymani - Md Jan Nordin
A Novel Model for Student's Mental Health Monitoring Based on Hard and Soft Data Fusion
Mohammad Fatahi - Masoud Alizadeh - Behzad Moshiri
Effective Service Restoration in Electrical Distribution Networks Using a Bi-Stage Algorithm
Qasem Asadi - Amir Amini - Hamid Falaghi - Maryam Ramezani
A New Low Noise 4-Gb/s Serial CMOS MPPM Modulator
Erfan Alasvand Andekah - Noushin Ghaderi - Mostafa Pour Sayahi
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.2