Brain control games and applications
Brain-computer interface (BCI) is a study of direct communication between human brain and computer. Several types of BCI devices incorporate electroencephalography (EEG) technology. EEG-based BCI captures the pattern of electrical activity and maps them to corresponding actions. The recent commerci...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2018
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| Online Access: | http://hdl.handle.net/10356/73935 |
| _version_ | 1824453492713979904 |
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| author | Darmaja, Natalia |
| author2 | Dusit Niyato |
| author_facet | Dusit Niyato Darmaja, Natalia |
| author_sort | Darmaja, Natalia |
| collection | NTU |
| description | Brain-computer interface (BCI) is a study of direct communication between human brain and computer. Several types of BCI devices incorporate electroencephalography (EEG) technology. EEG-based BCI captures the pattern of electrical activity and maps them to corresponding actions.
The recent commercialization of EEG-based BCI allows opportunities for brain activity research. Many companies have come up with their version of EEG-based BCI with a wide range of price and specifications. Nonetheless, despite several studies exploring the capability of EEG headset as video gaming tool, it has yet gained much recognition.
This could be due to the challenging control of the headset despite rigorous training and the high price point of headsets with better accuracy. Therefore, cheaper alternative Emotiv Insight headset is used to develop a simple altered version of Tetris game called Brain Tetris. The project aimed to prove the viability of using low-end EEG headset for gaming. Problems ensued while developing and testing the game, such as training difficulty, the presence of false positive inputs, and limited commands to be used. Hence, it can be concluded that the low-end commercial EEG headsets available in the market are not yet suitable for video gaming purposes. It is not capable of replacing traditional input method due to the unstable nature of the EEG detection. |
| first_indexed | 2025-02-19T03:07:17Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/73935 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:07:17Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ntu-10356/739352023-03-03T20:45:43Z Brain control games and applications Darmaja, Natalia Dusit Niyato School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering::Computer applications::Computer-aided engineering Brain-computer interface (BCI) is a study of direct communication between human brain and computer. Several types of BCI devices incorporate electroencephalography (EEG) technology. EEG-based BCI captures the pattern of electrical activity and maps them to corresponding actions. The recent commercialization of EEG-based BCI allows opportunities for brain activity research. Many companies have come up with their version of EEG-based BCI with a wide range of price and specifications. Nonetheless, despite several studies exploring the capability of EEG headset as video gaming tool, it has yet gained much recognition. This could be due to the challenging control of the headset despite rigorous training and the high price point of headsets with better accuracy. Therefore, cheaper alternative Emotiv Insight headset is used to develop a simple altered version of Tetris game called Brain Tetris. The project aimed to prove the viability of using low-end EEG headset for gaming. Problems ensued while developing and testing the game, such as training difficulty, the presence of false positive inputs, and limited commands to be used. Hence, it can be concluded that the low-end commercial EEG headsets available in the market are not yet suitable for video gaming purposes. It is not capable of replacing traditional input method due to the unstable nature of the EEG detection. Bachelor of Engineering (Computer Science) 2018-04-20T01:24:25Z 2018-04-20T01:24:25Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/73935 en Nanyang Technological University 59 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Computer applications::Computer-aided engineering Darmaja, Natalia Brain control games and applications |
| title | Brain control games and applications |
| title_full | Brain control games and applications |
| title_fullStr | Brain control games and applications |
| title_full_unstemmed | Brain control games and applications |
| title_short | Brain control games and applications |
| title_sort | brain control games and applications |
| topic | DRNTU::Engineering::Computer science and engineering::Computer applications::Computer-aided engineering |
| url | http://hdl.handle.net/10356/73935 |
| work_keys_str_mv | AT darmajanatalia braincontrolgamesandapplications |