Feature Selection Using EEG Signals: A Novel Hybrid Binary Particle Swarm Optimization

As the tendency to use robots in everyday life is constantly growing, Human-Robot Interaction (HRI) is a significant and promising field of research. The direct link between humans and robots is studied by brain robot interaction area and the most popular non-invasive mean to record brain activity i...

Full description

Bibliographic Details

Published in:	Digest book (International Conference on Robotics and Mechatronics. Online) pp. 359 - 364
Main Authors:	Nemati, Mohammad, Taheri, Alireza, Ghazizadeh, Ali, Dehkordi, Milad Banitalebi, Meghdari, Ali
Format:	Conference Proceeding
Language:	English
Published:	IEEE 15.11.2022
Subjects:	binary particle swarm optimization Brain Clustering algorithms Clustering methods electroencephalogram Feature extraction feature selection Human-robot interaction k-means clustering method Wheelchairs
ISSN:	2572-6889
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!