Implementation of an EEG-based game using a brain computer interface for attention training

The Centre for Brain-Computing Research (CBCR) in Nanyang Technological University (NTU) has developed ways where we can make use of Brain-Computer Interfaces (BCI) to read the electrical activities of the brain, allowing us to determine whether a person is giving attention or focusing on a task. Wi...

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Main Author: Yeo, Heng Gene
Other Authors: Guan Cuntai
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/166185
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1661852023-04-28T15:39:30Z Implementation of an EEG-based game using a brain computer interface for attention training Yeo, Heng Gene Guan Cuntai School of Computer Science and Engineering Centre for Brain-Computing Research CTGuan@ntu.edu.sg Engineering::Computer science and engineering::Computer applications::Computer-aided engineering The Centre for Brain-Computing Research (CBCR) in Nanyang Technological University (NTU) has developed ways where we can make use of Brain-Computer Interfaces (BCI) to read the electrical activities of the brain, allowing us to determine whether a person is giving attention or focusing on a task. With the existence of such technology, this project seeks to develop an EEG-based game that can make use of BCI for attention training. This report first introduces us to the use to BCI to obtain neurofeedback from the player, as well as looking into effective methods that can be used to train attention. It will then go into details how the attention training game, Last Hope, is developed and how it can be played. Lastly, it will investigate the effectiveness of Last Hope in training the attention of its players and what can be improve on it. Bachelor of Engineering (Computer Science) 2023-04-24T04:52:50Z 2023-04-24T04:52:50Z 2023 Final Year Project (FYP) Yeo, H. G. (2023). Implementation of an EEG-based game using a brain computer interface for attention training. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166185 https://hdl.handle.net/10356/166185 en SCSE22-0261 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Computer applications::Computer-aided engineering
spellingShingle Engineering::Computer science and engineering::Computer applications::Computer-aided engineering
Yeo, Heng Gene
Implementation of an EEG-based game using a brain computer interface for attention training
description The Centre for Brain-Computing Research (CBCR) in Nanyang Technological University (NTU) has developed ways where we can make use of Brain-Computer Interfaces (BCI) to read the electrical activities of the brain, allowing us to determine whether a person is giving attention or focusing on a task. With the existence of such technology, this project seeks to develop an EEG-based game that can make use of BCI for attention training. This report first introduces us to the use to BCI to obtain neurofeedback from the player, as well as looking into effective methods that can be used to train attention. It will then go into details how the attention training game, Last Hope, is developed and how it can be played. Lastly, it will investigate the effectiveness of Last Hope in training the attention of its players and what can be improve on it.
author2 Guan Cuntai
author_facet Guan Cuntai
Yeo, Heng Gene
format Final Year Project
author Yeo, Heng Gene
author_sort Yeo, Heng Gene
title Implementation of an EEG-based game using a brain computer interface for attention training
title_short Implementation of an EEG-based game using a brain computer interface for attention training
title_full Implementation of an EEG-based game using a brain computer interface for attention training
title_fullStr Implementation of an EEG-based game using a brain computer interface for attention training
title_full_unstemmed Implementation of an EEG-based game using a brain computer interface for attention training
title_sort implementation of an eeg-based game using a brain computer interface for attention training
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/166185
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