https://github.com/cepdnaclk/e15-4yp-brain-computer-interface-for-controlling-virtual-objects
Develop a Brain-Computer Interface for Controlling virtual objects using the self-paced mind intent of a person. Here we have developed a Real-time pipeline for recognizing thought patterns using machine learning techniques and feed into a virtual environment(unity engine) for controlling virtual objects.
https://github.com/cepdnaclk/e15-4yp-brain-computer-interface-for-controlling-virtual-objects
bci eeg-classification virtual-environment
Last synced: 10 months ago
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Develop a Brain-Computer Interface for Controlling virtual objects using the self-paced mind intent of a person. Here we have developed a Real-time pipeline for recognizing thought patterns using machine learning techniques and feed into a virtual environment(unity engine) for controlling virtual objects.
- Host: GitHub
- URL: https://github.com/cepdnaclk/e15-4yp-brain-computer-interface-for-controlling-virtual-objects
- Owner: cepdnaclk
- Created: 2021-03-04T21:20:49.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2022-01-23T13:06:43.000Z (over 4 years ago)
- Last Synced: 2025-02-28T21:11:31.355Z (over 1 year ago)
- Topics: bci, eeg-classification, virtual-environment
- Language: Python
- Homepage:
- Size: 128 MB
- Stars: 2
- Watchers: 5
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md