Emotiv EEG Classification System to Determine the Motor Speed of a Wheelchair

Agus Siswoyo, Ignatius Deradjad Pranowo

2022

Abstract

This paper describes the use of the 14-channel Emotiv as a low-cost method of acquiring raw EEG signals, for human-machine interfaces as a possible aid for persons with disabilities. To demonstrate the feasibility of using raw EEG signals obtained using the Emotiv system, a classification algorithm based on Fuzzy logic is implemented as an example. The proposed algorithm has been found to be effective in detecting and classifying brain signals which can then be translated into valid commands for the human-machine interface. The performance of the proposed approach is studied using fuzzy logic. The results obtained indicate a high level of classification accuracy, therefore, indicating that the Emotiv EPOC can be used as a valid tool for research.

Paper Citation

in Harvard Style

Siswoyo A. and Deradjad Pranowo I. (2022). Emotiv EEG Classification System to Determine the Motor Speed of a Wheelchair. In Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES; ISBN 978-989-758-619-4, SciTePress, pages 483-487. DOI: 10.5220/0011815300003575

in Bibtex Style

@conference{icast-es22,
author={Agus Siswoyo and Ignatius Deradjad Pranowo},
title={Emotiv EEG Classification System to Determine the Motor Speed of a Wheelchair},
booktitle={Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES},
year={2022},
pages={483-487},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011815300003575},
isbn={978-989-758-619-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES
TI - Emotiv EEG Classification System to Determine the Motor Speed of a Wheelchair
SN - 978-989-758-619-4
AU - Siswoyo A.
AU - Deradjad Pranowo I.
PY - 2022
SP - 483
EP - 487
DO - 10.5220/0011815300003575
PB - SciTePress