I am a student of Computer Science at AGH University of Science and Technology in Krakow, Poland, Europe and I am preparing my MSc thesis about using biometric data to inference person's emotional state. This platform is to consist of BITalino measurement kit and an Android application with built-in emotion classifier (e.g. neural network or SVM - these are the terms from the area of machine learning).
I have found an article"Effect of Experimental Factors on the Recognition of Affective Mental States through Physiological Measures" (available at https://www.researchgate.net/publication/225214361_Effect_of_Experimental_Factors_on_the_Recognition_of_Affective_Mental_States_through_Physiological_Measures) about testing different emotion classifiers using ECG, EMG and GSR signals. Such set of features is perfect for applying BITalino kit to it, however I cannot get in touch with the authors of this papers.
I would like to ask if anybody performed any experiment consisting on measuring biometric signals and combining them with emotional states. I need a classifier or a dataset which I could use to train my own classifier.
I will be grateful for any advice or help.
Department of Applied Computer Science
Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering
AGH University of Science and Technology
30 Mickiewicz Avenue
30-059 Krakow, Poland