Fast brain control systems for electric wheelchair using support vector machine-Reference-Cited by-同舟云学术

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Fast brain control systems for electric wheelchair using support vector machine

Published:2016-07-11 Issue: Volume: Page:
ISSN:0277-786X
Container-title:SPIE Proceedings
language:
Short-container-title:

Author:

Parmonangan Ivan Halim,Santoso Jennifer,Budiharto Widodo,Santoso Gunawan Alexander Agung

Publisher

SPIE

Reference15 articles.

1. Neural Engineering

2. Brain-Computer Interfaces: Beyond Medical Applications

3. Smart wheelchairs: A literature review

4. http://EEGatlas-online.com/index.php/EEG-archive/EEG0001

5. An EEG spike detection algorithm using artificial neural network with multi-channel correlation;Ko,1998

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2. Optimal Time Window Selection in the Wavelet Signal Domain for Brain–Computer Interfaces in Wheelchair Steering Control;Applied Data Science and Analysis;2024-06-15

3. Brainwaves Analysis Using Electroencephalogram (EEG) in Nursing Mothers for Relaxation Conditions;2022 FORTEI-International Conference on Electrical Engineering (FORTEI-ICEE);2022-10-11

4. Implementation of Brain Computer Interface (BCI) as a Smart Wheelchair Motion Commands;Journal of Biomedical Science and Bioengineering;2022-07-27

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