eeg_classification_using_lda
This is the code for CLASSIFYING EEG SIGNAL USING LINEAR DISCRIMINANT ANALYSIS
Science Score: 18.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
○codemeta.json file
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○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.9%) to scientific vocabulary
Last synced: 10 months ago
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JSON representation
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Repository
This is the code for CLASSIFYING EEG SIGNAL USING LINEAR DISCRIMINANT ANALYSIS
Basic Info
- Host: GitHub
- Owner: JaeDukSeo
- Language: Matlab
- Default Branch: master
- Size: 7.64 MB
Statistics
- Stars: 6
- Watchers: 1
- Forks: 2
- Open Issues: 1
- Releases: 0
Created over 9 years ago
· Last pushed over 9 years ago
Metadata Files
Readme
Citation
README.md
EEGClassificationUsing_LDA
This is the code for CLASSIFYING EEG SIGNAL USING LINEAR DISCRIMINANT ANALYSIS
Owner
- Name: J
- Login: JaeDukSeo
- Kind: user
- Repositories: 2,456
- Profile: https://github.com/JaeDukSeo
Exploring the intersection of AI, deep learning, and art. Passionate about pushing the boundaries of multi-media production and beyond. #AIArt
Citation (CITATION.txt)
These recordings were kindly provided by Thorsten Zander, TU Berlin; if you use these recordings for a publication, please cite: Zander, T. O., Kothe, C., Jatzev, S., & Gaertner, M. (2010). Enhancing human-computer interaction with input from active and passive brain-computer interfaces. In Brain-Computer Interfaces (pp. 181-199). Springer London.