Abstract
The advancement of assistive technologies toward the restoration of the mobility of paralyzed and/or amputated limbs will go a long way. Herein, we propose a system that adopts the brain-computer interface technology to control prosthetic fingers with the use of brain signals. To predict the movements of each finger, complex electroencephalogram (EEG) signal processing algorithms should be applied to remove the outliers, extract features, and be able to handle separately the five human fingers. The proposed method deals with a multi-class classification problem. Our machine learning strategy to solve this problem is built on an ensemble of one-class classifiers, each of which is dedicated to the prediction of the intention to move a specific finger. Regions of the brain that are sensitive to the movements of the fingers are identified and located. The average accuracy of the proposed EEG signal processing chain reached 81% for five subjects. Unlike the majority of existing prototypes that allow only one single finger to be controlled and only one movement to be performed at a time, the system proposed will enable multiple fingers to perform movements simultaneously. Although the proposed system classifies five tasks, the obtained accuracy is too high compared with a binary classification system. The proposed system contributes to the advancement of a novel prosthetic solution that allows people with severe disabilities to perform daily tasks in an easy manner.
Highlights
In 2006, a “Convention on the Rights of Persons with Disabilities” (UNCPRD) was adopted by the United Nations that recognizes the autonomy and independence of living as basic human rights [1]. In line with this treaty, the system proposed in this paper aims to help people with severe disabilities restore the mobility of their fingers using Brain Computer Interface (BCI) technology
This study aimed to develop a BCI system for disabled people who are suffering from motor mobility impairment
Such prosthesis can offer an alternative method for disabled people to restore their mobility
Summary
In 2006, a “Convention on the Rights of Persons with Disabilities” (UNCPRD) was adopted by the United Nations that recognizes the autonomy and independence of living as basic human rights [1] In line with this treaty, the system proposed in this paper aims to help people with severe disabilities restore the mobility of their fingers using Brain Computer Interface (BCI) technology. The vast majority of existing EEG-based BCI systems analyze brain activities to identify a single finger movement. These systems are unreliable to control prostheses and robotic hands that are designed for performing tasks that require various skills [8].
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