Abstract
We propose a method to calculate the client’s emotion from the con-tent of the dialogue and the client’s physical states. Firstly, the system analyzes the client’s utterances grammatically and calculates the degree of preference for each case frame elements. The system also extracts 20 features from four physiological signals (blood pressure, skin conductance, respiration, and heart rate) based on Picard’s research. Both data are inputted into a parallel sand glass type neural network to calculate the user’s pleasure/displeasure for the sentence. Then, it classifies the pleasure/displeasure into 20 emotions.
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References
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Mera, K., Ichimura, T. (2004). Emotion Analyzing Method Using Physiological State. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30133-2_26
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DOI: https://doi.org/10.1007/978-3-540-30133-2_26
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