TELKOMNIKA Telecommunication, Computing, Electronics and Control
MILA: Low-cost BCI framework for acquiring EEG data with IoT
Dublin Core
Title
TELKOMNIKA Telecommunication, Computing, Electronics and Control
MILA: Low-cost BCI framework for acquiring EEG data with IoT
MILA: Low-cost BCI framework for acquiring EEG data with IoT
Subject
Brain waves, Electroencephalography, Framework, Low-cost BCI, Motorcycle rider
Description
The brain is a vital organ in the human body that acts as the center of the human nervous system. Brain-computer interface (BCI) uses electroencephalography (EEG) signals as information on brain activity.
Hospitals usually use EEG as a diagnosis of brain disease. Combining EEG as part of IoT (Internet of Things) with high mobility is challenging
research. This research tries to make a low-cost BCI framework for
motorcycle riders. Analysis of brain activity from EEG data when
motorcycle riders turn left or turn right. Therefore, the method of further installation must produce the right features to obtain precise and accurate brainwave characteristics from EEG signals. This research uses the concept of IoT with software engineering to recording human brain waves so that it becomes a practical device for the wearer. The purpose of this study is to create a low-cost BCI framework for obtaining EEG Data.
Hospitals usually use EEG as a diagnosis of brain disease. Combining EEG as part of IoT (Internet of Things) with high mobility is challenging
research. This research tries to make a low-cost BCI framework for
motorcycle riders. Analysis of brain activity from EEG data when
motorcycle riders turn left or turn right. Therefore, the method of further installation must produce the right features to obtain precise and accurate brainwave characteristics from EEG signals. This research uses the concept of IoT with software engineering to recording human brain waves so that it becomes a practical device for the wearer. The purpose of this study is to create a low-cost BCI framework for obtaining EEG Data.
Creator
Rolly Maulanan Awangga, Syafrial Fachri Pane, Dzikri Ahmad Ghifari, Tri Angga Dio Simamora, Mochamad Yusuf Asyhari
Source
DOI: 10.12928/TELKOMNIKA.v18i2.14884
Publisher
Universitas Ahmad Dahlan
Date
April 2020
Contributor
Sri Wahyuni
Rights
ISSN: 1693-6930
Relation
http://journal.uad.ac.id/index.php/TELKOMNIKA
Format
PDF
Language
English
Type
Text
Coverage
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Files
Collection
Citation
Rolly Maulanan Awangga, Syafrial Fachri Pane, Dzikri Ahmad Ghifari, Tri Angga Dio Simamora, Mochamad Yusuf Asyhari, “TELKOMNIKA Telecommunication, Computing, Electronics and Control
MILA: Low-cost BCI framework for acquiring EEG data with IoT,” Repository Horizon University Indonesia, accessed September 20, 2024, https://repository.horizon.ac.id/items/show/3738.
MILA: Low-cost BCI framework for acquiring EEG data with IoT,” Repository Horizon University Indonesia, accessed September 20, 2024, https://repository.horizon.ac.id/items/show/3738.