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
Novel continuous phase DDS model for linear Chirp Signal Simulation in Pulse Compression Radar
Shahin Khakisedigh - Artin Khosravian - Mobin Jamali
Single- and Multi-Hop BERT Question Classifier for Open-Domain Question Answering (SiMQC)
Faeze Zakaryapour Sayyad - Mahdi Bohlouli
بررسی توان و افزایش بازدهی در فرستنده سوئیچینگ لورن
عادل رضائیان - احمد عفیفی - جمشید ده پهلوانی
Adaptive fault tolerant neural control of heterogeneous second-order multi-agent systems
Mohammad Hadi Rezaei - Ali Abooee
Application of Statistical Techniques and Machine Learning in Forecasting Distribution Network Load: A Real Case Study on the Iranian Power System
Hossein Jafari - Mohammad Sadegh Sepasian - Fatemeh Teimori
Optimized 5G-MMW Compact Yagi-Uda Antenna Based on Machine Learning Methodology
Alireza Jafarieh - Mahdi Nouri - Hamid Behroozi
مدلسازی نویز فاز در ساختار کاهنده نویز نوسانساز مبتنی بر تداخلسنجی
سیدمحمدعلی صدرقاینی - علی بنائی
حسگر ضریب شکست مبتنی بر فانو رزونانس در موجبرهای فلز- عایق- فلز، با رزوناتور صفحهای تزویج شده از جانب
تورج هاشمی - نسرین عبدالهی برازجان - عباس علی قنبری
Two-Stage Stochastic Modeling for Energymnagement and Control of Virtual Power Plants: Addressing Renewable Energy Challenges
Mohammadreza Mousavi Khademi - Mehdi Zareian Jahromi
Integrating Model-Agnostic Meta-Learning with Advanced Language Embeddings for Few-Shot Intent Classification
Ali Rahimi - Hadi Veisi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.5.3