Artificial intelligence-based game design and control using brain signals
As technology continues to flourish, industries that leverage technology continues to grow positively. One of such industry is the gaming industry which has been growing significantly and established eSports tournaments to allow friendly international competition between players. Game developer...
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| Další autoři: | |
| Médium: | Final Year Project (FYP) |
| Jazyk: | English |
| Vydáno: |
Nanyang Technological University
2022
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| Témata: | |
| On-line přístup: | https://hdl.handle.net/10356/162902 |
| _version_ | 1826125199642198016 |
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| author | Lim, Evan Cheng Yi |
| author2 | Smitha Kavallur Pisharath Gopi |
| author_facet | Smitha Kavallur Pisharath Gopi Lim, Evan Cheng Yi |
| author_sort | Lim, Evan Cheng Yi |
| collection | NTU |
| description | As technology continues to flourish, industries that leverage technology continues to grow positively. One
of such industry is the gaming industry which has been growing significantly and established eSports
tournaments to allow friendly international competition between players.
Game developers have also been actively looking for new input devices in hopes to enhance the player’s
gameplay experience. Some examples of input devices for gaming are the virtual reality headset, driving
steering wheel set, and joysticks. Aside from the mentioned, game developers are also looking into the
usage of Electroencephalogram (EEG) as a new communication pathway between a player’s brain and the
gaming device, Hence, forming a Brain-Computer Interface (BCI).
For this project, a MUSE 2 headset will be used to enhance the player’s gameplay experience of a self made 3D game called “Tower of Proof”. The Player’s concentration level will be measured using the MUSE
2 headset along with a python script which helps to determine when the player is concentrated. |
| first_indexed | 2024-10-01T06:32:49Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/162902 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:32:49Z |
| publishDate | 2022 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1629022022-11-14T01:12:54Z Artificial intelligence-based game design and control using brain signals Lim, Evan Cheng Yi Smitha Kavallur Pisharath Gopi School of Computer Science and Engineering smitha@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence As technology continues to flourish, industries that leverage technology continues to grow positively. One of such industry is the gaming industry which has been growing significantly and established eSports tournaments to allow friendly international competition between players. Game developers have also been actively looking for new input devices in hopes to enhance the player’s gameplay experience. Some examples of input devices for gaming are the virtual reality headset, driving steering wheel set, and joysticks. Aside from the mentioned, game developers are also looking into the usage of Electroencephalogram (EEG) as a new communication pathway between a player’s brain and the gaming device, Hence, forming a Brain-Computer Interface (BCI). For this project, a MUSE 2 headset will be used to enhance the player’s gameplay experience of a self made 3D game called “Tower of Proof”. The Player’s concentration level will be measured using the MUSE 2 headset along with a python script which helps to determine when the player is concentrated. Bachelor of Engineering (Computer Science) 2022-11-14T01:12:54Z 2022-11-14T01:12:54Z 2022 Final Year Project (FYP) Lim, E. C. Y. (2022). Artificial intelligence-based game design and control using brain signals. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/162902 https://hdl.handle.net/10356/162902 en SCSE21-0854 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Lim, Evan Cheng Yi Artificial intelligence-based game design and control using brain signals |
| title | Artificial intelligence-based game design and control using brain signals |
| title_full | Artificial intelligence-based game design and control using brain signals |
| title_fullStr | Artificial intelligence-based game design and control using brain signals |
| title_full_unstemmed | Artificial intelligence-based game design and control using brain signals |
| title_short | Artificial intelligence-based game design and control using brain signals |
| title_sort | artificial intelligence based game design and control using brain signals |
| topic | Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
| url | https://hdl.handle.net/10356/162902 |
| work_keys_str_mv | AT limevanchengyi artificialintelligencebasedgamedesignandcontrolusingbrainsignals |