EEG Eye State
Donated on 6/9/2013
The data set consists of 14 EEG values and a value indicating the eye state.
Dataset Characteristics
Multivariate, Sequential, Time-Series
Subject Area
Health and Medicine
Associated Tasks
Classification
Feature Type
Integer, Real
# Instances
14980
# Features
14
Dataset Information
Additional Information
All data is from one continuous EEG measurement with the Emotiv EEG Neuroheadset. The duration of the measurement was 117 seconds. The eye state was detected via a camera during the EEG measurement and added later manually to the file after analysing the video frames. '1' indicates the eye-closed and '0' the eye-open state. All values are in chronological order with the first measured value at the top of the data.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| AF3 | Feature | Continuous | no | ||
| F7 | Feature | Continuous | no | ||
| F3 | Feature | Continuous | no | ||
| FC5 | Feature | Continuous | no | ||
| T7 | Feature | Continuous | no | ||
| P7 | Feature | Continuous | no | ||
| O1 | Feature | Continuous | no | ||
| O2 | Feature | Continuous | no | ||
| P8 | Feature | Continuous | no | ||
| T8 | Feature | Continuous | no |
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Dataset Files
| File | Size |
|---|---|
| EEG Eye State.arff | 1.6 MB |
Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset eeg_eye_state = fetch_ucirepo(id=264) # data (as pandas dataframes) X = eeg_eye_state.data.features y = eeg_eye_state.data.targets # metadata print(eeg_eye_state.metadata) # variable information print(eeg_eye_state.variables)
Roesler, O. (2013). EEG Eye State [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C57G7J.
Creators
Oliver Roesler
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.