Skip to content
Toolbox for Emotion Analysis using Physiological signals
MATLAB Other
  1. MATLAB 99.4%
  2. Other 0.6%
Branch: master
Clone or download

Latest commit

Fetching latest commit…
Cannot retrieve the latest commit at this time.

Files

Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
doc Change destination Oct 7, 2019
src Update kfold_gen.m Nov 9, 2019
.gitignore Added a gitignore file to avoid .mat uploadings as well ad *~ files, … Feb 9, 2016
.vstmDB git-svn-id: https://subversion.unige.ch/users/soleyman/TEAP@1 e45a9c4… Mar 30, 2015
AUTHORS Homogeneize toolbox name Sep 26, 2019
CONTRIB Cleaning up vi-di info Oct 14, 2016
HACKING git-svn-id: https://subversion.unige.ch/users/soleyman/TEAP@1 e45a9c4… Mar 30, 2015
LICENCE licence + licence notice May 25, 2016
LICENCE.short Added licence, so verbose… May 25, 2016
README.md Correct typo Oct 7, 2019

README.md

DOI Definition

TEAP stands for "Toolbox for Emotional feAture extraction from Physiological signals". This toolbox is dedicated to researchers who want to easily extract features from physiological signals.

We aim to create an open source platform that can be further extended by the community with the goal of advancing the field of affective physiological signal analysis. We developed TEAP in MathWorks MATLAB but it also works with Octave, its free alternative. TEAP is able to pre-process and extract features from multiple central and peripheral physiological signals including: electroencephalogram (EEG), galvanic skin response (GSR), electrocardiogram (ECG), blood volume pulse (BVP), skin temperature, respiration pattern and electromyogram (EMG). New physiological channels can be easily added to this toolbox and the implemented statistical and time-frequency analysis functions can be applied on any signal.

It is open source and is licensed under the GNU General Public License (GNU GPL). This makes TEAP a completely free and customizable solution.

Documentation and more information

Please have a look at our website.

Or directly check the documentation.

Citation

If you are using TEAP please cite:

Soleymani, M., Villaro-Dixon, F., Pun, T., & Chanel, G. (2017). Toolbox for Emotional feAture extraction from Physiological signals (TEAP). Frontiers in ICT, 4. https://doi.org/10.3389/fict.2017.00001

You can’t perform that action at this time.