Scientific article
Open access

Toolbox for Emotional feAture extraction from Physiological signals (TEAP)

Published inFrontiers in ICT, vol. 4
Publication date2017

Physiological response is an important component of an emotional episode. In this paper, we introduce a Toolbox for Emotional feAture Extraction from Physiological signals (TEAP). This open source toolbox can preprocess and calculate emotionally relevant features from multiple physiological signals, namely, electroencephalogram (EEG), galvanic skin response (GSR), electromyogram (EMG), skin temperature, respiration pattern, and blood volume pulse. The features from this toolbox are tested on two publicly available databases, i.e., MAHNOB-HCI and DEAP. We demonstrate that we achieve similar performance to the original work with the features from this toolbox. The toolbox is implemented in MATLAB and is also compatible with Octave. We hope this toolbox to be further developed and accelerate research in affective physiological signal analysis.

  • Physiological signals
  • Emotions
  • Affective computing
  • Electroencephalogram signals
  • Physiological signal processing
  • Code:MATLAB
  • Code:Octave
  • Toolbox
Citation (ISO format)
SOLEYMANI, Mohammad et al. Toolbox for Emotional feAture extraction from Physiological signals (TEAP). In: Frontiers in ICT, 2017, vol. 4. doi: 10.3389/fict.2017.00001
Main files (1)
Article (Accepted version)
ISSN of the journal2297-198X

Technical informations

Creation02/13/2017 11:33:00 AM
First validation02/13/2017 11:33:00 AM
Update time03/15/2023 1:22:58 AM
Status update03/15/2023 1:22:58 AM
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