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https://github.com/hemumanju/human-effort-classification-eeg
https://github.com/hemumanju/human-effort-classification-eeg
brain-computer-interface cookiecutter deep-convolutional-networks eeg-analysis eeg-classification mne-python pytorch
Last synced: 5 days ago
JSON representation
- Host: GitHub
- URL: https://github.com/hemumanju/human-effort-classification-eeg
- Owner: HemuManju
- License: mit
- Created: 2019-03-03T00:46:16.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2020-09-27T02:30:56.000Z (about 4 years ago)
- Last Synced: 2024-10-30T18:25:49.722Z (about 2 months ago)
- Topics: brain-computer-interface, cookiecutter, deep-convolutional-networks, eeg-analysis, eeg-classification, mne-python, pytorch
- Language: Python
- Size: 12.4 MB
- Stars: 1
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# human_robot_interaction_eeg
Study of human robot interaction with robot under admittance control and monitoring of subjects using eeg
## Project Organization
* * *
├── LICENSE
├── Makefile
├── README.md
├── docs
│
├── models
│ └── trained_model.pth
├── notebooks
│ ├── CNN.ipynb
│ ├── EEG_Data.ipynb
│ ├── Play_Ground.ipynb
│ ├── Unit_Tests.ipynb
│ └── Utility_Functions.ipynb
├── references
├── reports
│ └── figures
├── requirements.txt
├── setup.py
├── src
│ ├── __init__.py
│ ├── config.yml
│ ├── data
│ │ ├── __init__.py
│ │ ├── clean_eeg_dataset.py
│ │ ├── create_eeg_dataset.py
│ │ ├── create_robot_dataset.py
│ │ ├── create_torch_dataset.py
│ │ ├── eeg_utils.py
│ │ └── robot_utils.py
│ ├── features
│ │ ├── __init__.py
│ │ └── build_features.py
│ ├── models
│ │ ├── __init__.py
│ │ ├── datasets.py
│ │ ├── networks.py
│ │ ├── predict_model.py
│ │ ├── train_model.py
│ │ └── utils.py
│ └── visualization
│ ├── __init__.py
│ └── robot_position_plot.py
├── test_environment.py
├── tests
│ ├── __init__.py
│ └── test.py
└── tox.ini
* * *Project based on the cookiecutter data science project template. #cookiecutterdatascience