کنفرانس مهندسی برق ایران

صفحه اصلی / سی و یکمین کنفرانس بین المللی مهندسی برق

Kernel-Based Embedded Feature Selection for Motor Imagery Based BCI

نویسندگان :

Mehdi Kamandar¹

1- دانشگاه تحصیلات تکمیلی صنعتی و فناوری پیشرفته

کلمات کلیدی :

Brain–computer interface (BCI)،Electroencephalogram (EEG)،(Motor imagery (MI،)،Support vector machine (SVM)،Kernel-target alignment (KTA)،Embedded feature selection،l1 regularization،minibatch proximal gradient ascent

چکیده :

Brain-computer interface (BCI) based on motor imagery (MI) classification using scalp recorded multi-channel EEG signal play a major role in the control of artificial limbs and machines by people with severe disabilities. The most popular features are band power of EEG signals in frequency sub-bands in a relatively wide frequency band (e. g., 8-30 Hz) in different time windows of imagination period. The effectiveness of these features is highly dependent on the sub-bands and time windows adopted, since the optimal sub-bands and time windows is generally subject-specific. The nonlinear support vector machine (SVM) with Gaussian kernel is an excellent classifier for MI classification. In this paper, the SVM with an anisotropic Gaussian kernel with a special scaling factors for each feature is used, instead of one scale factor for all features. The scaling factors are tuned by maximizing the kernel-target alignment criterion with l1 regularization. Some of the scaling factors will be zero after maximization due to l1 regularization, that is equivalent to removing corresponding features from classification processes. Therefore, an embedded feature selection is also done to remove the destructive effect of irrelevant and redundant features. The average accuracy of the SVM classifier with anisotropic Gaussian kernel for four subjects in BCI IV-1 dataset is about 10% more than the SVM with isotropic Gaussian kernel.

لیست مقالات

لیست مقالات بایگانی شده

Diagnosis of Covid 19 disease, flu, allergies, colds

Mahyar Mohammady - Marzieh Kamali

Design and Implementation of a Modular ROS-based Mobile Robot With Hierarchical Control

Erfan Riazati - Arian Hajizadeh - Seyed Majid Esmailzadeh

A novel protection scheme for HVDC transmission lines based on DC-filter current and DC line current

Mohammad Amin Rezaei Gazik - Hossein Kazemi Karegar

Zero control effort approach to perturbed coupled orbit-attitude periodic solution at three-body problem: Earth-Mars system

Amirreza Kosari - Ehsan Abbasali - Majid Bakhtiari

True Random Number Generator Relying on Multiple Entropy Source and Triple Oscillator for Cryptography Purposes

Somayeh Gholam Mehraban - Mohsen Jalali - Mostafa Azadbakht

A modified Dempster Shafer approach to classification in surgical skill assessment

Arash Iranfar - Mohammad Soleymannejad - Behzad Moshiri - Hamid D. Taghirad

تعیین آرایش بهینه خطوط جهت کاهش فرسایش یقه پایه های بتنی ناشی از تنشهای باد

میثم پوراحمدی نخلی - حمیدرضا فیروزآبادی

طراحی ماتریس باتلر 8×4 در ساختارSIW با کاهش سطح گلبرگ جانبی در باند فرکانسی 60GHz

زهرا مهرزاد - غلامرضا مرادی - ایاز قربانی

Event-triggered SOF Control of Descriptor Switched Systems

Hamidreza Ahmadzadeh - Masoud Shafiee - Iman Zamani

3D Microwave Imaging inside PEMC Cavity Using Combined-Norm Regularization Term and Modified CG Algorithm

Omid Babazadeh - Hassan Nasseri

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.0.4