alexa Remarks on emotion recognition from multi-modal bio-potential signals.
Engineering

Engineering

International Journal of Sensor Networks and Data Communications

Author(s): K Takahashi, A Tsukaguchi

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This paper proposes an emotion recognition system from multi-modal bio-potential signals. For emotion recognition, two types of classifier: neural network (NN) and support vector machine (SVM) are designed and investigated. Using gathered data under psychological emotion stimulation experiments, the classifiers are trained and tested. In experiments of recognizing two emotion: pleasure and unpleasure, recognition rates of 62.3% with the NN classifier and 59.7% with the SVM classifier are achieved. The experimental result shows that using multi-modal bio-potential signals is feasible and that NN and/or SVM are well suited for emotion recognition tasks.

This article was published in Systems, Man and Cybernetics and referenced in International Journal of Sensor Networks and Data Communications

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