A BCI System Based on Motor Imagery for Assisting People with Motor Deficiencies in the Limbs.

ABSTRACT: Motor deficiencies constitute a significant problem affecting millions of people worldwide. Such people suffer from a debility in daily functioning, which may lead to decreased and incoherence in daily routines and deteriorate their quality of life (QoL). Thus, there is an essential need for assistive systems to help those people achieve their daily actions and enhance their overall QoL. This study proposes a novel brain-computer interface (BCI) system for assisting people with limb motor disabilities in performing their daily life activities by using their brain signals to control assistive devices. The extraction of useful features is vital for an efficient BCI system. Therefore, the proposed system consists of a hybrid feature set that feeds into three machine-learning (ML) classifiers

SUBMITTER: Attallah O 

PROVIDER: S-EPMC7697603 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature