Title: The development of a brain controlled interface employing electroencephalography to control a hand prostheses

Authors: Mahonri Owen; ChiKit Au

Addresses: Faculty of Engineering, University of Waikatom, Hamilton, New Zealand ' Faculty of Engineering, University of Waikatom, Hamilton, New Zealand

Abstract: It is the aim of this report to test the feasibility of using electroencephalography (EEG) to control a prosthetic hand. The purpose of this report is to support work relating to the project 'The development of a brain controlled interface for trans-radial amputees'. This work is based on the idea that an EEG-based control scheme for prosthetics is credible in the current technological climate. The presented experiments investigate the efficiency and usability of the control scheme by testing response times and grasp accuracy. Response times are determined by user training and control method. The grasp accuracy relies on the effectiveness of the support vector machine used in the control scheme. The outcome of the research has the potential to provide amputees with an intuitive method of controlling a prosthetic device. There are no competing interests from the involved authors and all involved participants have given consent to publish.

Keywords: prosthetic; electroencephalography; brain computer interface; support vector machine; biomimicry; classification; supervised learning; machine learning; amputee; electro-mechancal hand.

DOI: 10.1504/IJBET.2021.10035781

International Journal of Biomedical Engineering and Technology, 2021 Vol.35 No.2, pp.173 - 190

Received: 28 Nov 2017
Accepted: 27 Feb 2018

Published online: 19 Feb 2021 *

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