Game design and control using EEG signals
With the blossom of the gaming industry, an increasing number of novel input devices are invented to provide unique experiences for the consumers. Among the devices, Brain-Computer Interface (BCI) is a new approach which is a system that allows direct communication using brain wave signal as Elec...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2019
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/77037 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | With the blossom of the gaming industry, an increasing number of novel input devices are invented
to provide unique experiences for the consumers. Among the devices, Brain-Computer Interface
(BCI) is a new approach which is a system that allows direct communication using brain wave
signal as Electroencephalogram (EEG) between human brain and computer machines. Based on
researches worked on EEG, it has been proved that BCI control has a significant potential to enter
the game market.
In this project, existing BCI algorithms are reviewed and tested using a consumer-grade headset
Muse, and a 2.5D pixel styled action game “8 ball monsters” is developed with an optimised EEG
module to obtain user’s concentration through Muse. In addition to the development, the user
acceptance tests (UAT) has been done with and without EEG headset to get the feedback of the
game design as well as the experience using Muse headset. |
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