Negative and positive emotion decoding using EEG

To develop communication tools for healthy people and patients, my lab has started working on emotion decoding form EEG. One of the projects has been published showing that frustration feeling caused by computer cursor’s transformed movements can be decoded from EEG signals with above 80% accuracy (Fig. 1). An fMRI experiment using the same paradigm showed activation in the middle frontal gyrus and lateral orbitofrontal cortex that are associated with negative feelings such as frustration, sadness, and stress induction (Acta IMEKO, 2017). In the other projects, we have been working on regression of strength of emotion and decoding of a unique positive emotion such as individual preference and wind pleasantness as students’ projects through collaboration. 

​