Our results suggest that the inter-subject neural correlation approach is a promising candidate for investigating human emotion experiences.ĮMG-Based Prosthesis Control for Upper Limb Amputation (I) Correspondingly, higher classification accuracies were obtained using ISNC in most cases.
Our results showed that the correlations between the ISNCs and the subjective emotional ratings were substantially higher than those between the classical power spectra and the ratings, for both the conventional arousal and valence dimensions, as well as the ten discrete positive emotion dimensions. In the present study, we proposed an EEG-based inter-subject neural correlation (ISNC) method to explore human emotional experience during complex and continuous audiovisual video presentation. Keywords: Signal pattern classification, Time-frequency and time-scale analysis - Empirical mode decomposition in biosignal analysisĪbstract: Although human emotional experience plays an important role in our daily lives, its quantitative measurement remains to be one of the most challenging problems in the field of affective sciences.
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