An affective BCI system with music in an immersive environment
This study investigates the effectiveness of generated music in a Virtual reality (VR) immersive environment in inducing different emotional arousal states in the context of alleviating mood disorders. It details the collection and labelling of EEG data from 20 participants which is evaluated using...
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Nanyang Technological University
2022
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sg-ntu-dr.10356-1564782022-04-17T12:07:28Z An affective BCI system with music in an immersive environment Khendry, Nishka Guan Cuntai School of Computer Science and Engineering CTGuan@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Engineering::Computer science and engineering::Computer applications::Life and medical sciences Science::Medicine::Biomedical engineering This study investigates the effectiveness of generated music in a Virtual reality (VR) immersive environment in inducing different emotional arousal states in the context of alleviating mood disorders. It details the collection and labelling of EEG data from 20 participants which is evaluated using two state-of-the-art EEG emotion classification models – TSception and EEGNet. This report outlines the end-to-end implementation of a novel data recording system combining Python-based music generation, VR development with Unity, and EEG data streaming and labelling. It also highlights the overall system design considerations and experiment protocols administered. Given a fixed high valence value, the labelled EEG data recorded was used for offline model training to classify three emotional arousal states – low, high, and neutral. High classification accuracies were reported for Low-High arousal classification - 81.57% for TSception and 83.45% for EEGNet. Therefore, it can be concluded that the EEG data collected contained distinctive emotional states. This system, combining the effect of VR and music, is effective in inducing emotional arousal states and can be explored further in clinical trials as a potential tool for emotion modulation in alleviating mood disorders. Bachelor of Engineering (Computer Science) 2022-04-17T12:07:27Z 2022-04-17T12:07:27Z 2022 Final Year Project (FYP) Khendry, N. (2022). An affective BCI system with music in an immersive environment. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156478 https://hdl.handle.net/10356/156478 en SCSE21-0028 application/pdf Nanyang Technological University |
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Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Engineering::Computer science and engineering::Computer applications::Life and medical sciences Science::Medicine::Biomedical engineering Khendry, Nishka An affective BCI system with music in an immersive environment |
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This study investigates the effectiveness of generated music in a Virtual reality (VR) immersive environment in inducing different emotional arousal states in the context of alleviating mood disorders. It details the collection and labelling of EEG data from 20 participants which is evaluated using two state-of-the-art EEG emotion classification models – TSception and EEGNet.
This report outlines the end-to-end implementation of a novel data recording system combining Python-based music generation, VR development with Unity, and EEG data streaming and labelling. It also highlights the overall system design considerations and experiment protocols administered.
Given a fixed high valence value, the labelled EEG data recorded was used for offline model training to classify three emotional arousal states – low, high, and neutral. High classification accuracies were reported for Low-High arousal classification - 81.57% for TSception and 83.45% for EEGNet. Therefore, it can be concluded that the EEG data collected contained distinctive emotional states.
This system, combining the effect of VR and music, is effective in inducing emotional arousal states and can be explored further in clinical trials as a potential tool for emotion modulation in alleviating mood disorders. |
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Guan Cuntai |
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Guan Cuntai Khendry, Nishka |
format |
Final Year Project |
author |
Khendry, Nishka |
author_sort |
Khendry, Nishka |
title |
An affective BCI system with music in an immersive environment |
title_short |
An affective BCI system with music in an immersive environment |
title_full |
An affective BCI system with music in an immersive environment |
title_fullStr |
An affective BCI system with music in an immersive environment |
title_full_unstemmed |
An affective BCI system with music in an immersive environment |
title_sort |
affective bci system with music in an immersive environment |
publisher |
Nanyang Technological University |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/156478 |
_version_ |
1731235744423346176 |