Toolbox for Emotional feAture extraction from Physiological signals (TEAP)

Mohammad Soleymani · Frank Villaro-Dixon · Thierry Pun · Guillaume Chanel

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Emotion and Mood Recognition EEG and Brain-Computer Interfaces Heart Rate Variability and Autonomic Control

Abstract

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 demonstrated 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.

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References

1997Affective Computing 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals 2005What are emotions? And how can they be measured?2001Toward machine emotional intelligence: analysis of affective physiological state 2011A Multimodal Database for Affect Recognition and Implicit Tagging 2008Emotion recognition based on physiological changes in music listening 2011Multimodal Emotion Recognition in Response to Videos 2014A Survey of Digital Map Processing Techniques

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2022LSTM-Modeling of Emotion Recognition Using Peripheral Physiological Signals in Naturalistic Conversations 2019Multiple Instance Learning for Emotion Recognition Using Physiological Signals 2022Emotion recognition based on multi-modal physiological signals and transfer learning 2022A comparison of emotion recognition system using electrocardiogram (ECG) and photoplethysmogram (PPG)2018CROSS-CORPUS EEG-BASED EMOTION RECOGNITION 2021

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