Work

Toolbox for Emotional feAture extraction from Physiological signals (TEAP)

Year: 2017

Type: article

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.

Source: Frontiers in ICT

DOI: 10.3389/fict.2017.00001

Authors: Mohammad Soleymani, Frank Villaro-Dixon, Thierry Pun, Guillaume Chanel

Institution: University of Geneva

Language: English

Topic: Emotion and Mood Recognition

Subfield: Experimental and Cognitive Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: diamond

Funders: National Science Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Université de Genève

Awards: NCCR Affective Sciences: Emotion in Individual Behavior and Social Processes, G3188738659, G6022053668, G805552297