In our paper “Affect Recognition Based on Physiological Changes During the Watching of Music Video “, in ACM Transaction on Interactive Intelligent Systems, authored by Ashkan Yazdani, Jong-Seok Lee, Jean-Marc Vesin, and Touradj Ebrahimi the procedure for the dataset acquisition, including stimuli selection, signal acquisition, self-assessment, and signal processing is described in detail. Especially, we propose a novel asymmetry index based on relative wavelet entropy for measuring the asymmetry in the energy distribution of EEG signals, which is used for EEG feature extraction. Then, the classification systems based on EEG and peripheral physiological signals are presented.
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The work presented here was partially supported by the European Network of Excellence PetaMedia (FP7/2007-2011), and the Swiss National Foundation for Scientic Research in the framework of NCCR Interactive Multimodal Information Management (IM2). The authors would like to thank Christian Muehl, Mohammad Soleymani, and Sander Koelstra for their help and participation in data acquisition.