Design of Emotional Space Modeling using Neuro-Fuzzy
نویسندگان
چکیده
As IT becomes highly efficient, ICT (information and communications technology) began to evolve into a direction to maximize convenience or tangibility. ICT, especially, develops into a direction for the qualitative improvement of emotion-based personalization and tangibility maximization. Actually, studies on the emotion model to express human emotion quantitatively and structurally for the qualitative improvement of emotion-based personalization service need to be preceded. In addition, high level inference on human emotional transference is required in order to maximize the tangibility of service. Also, emotion modeling equipped with learning ability is demanded for personalized emotion modeling. To this end, this study proposes an adaptation-style emotion model structure suitable for personalization service using Thayer’s V-A emotion model, fuzzy inference system and neuro-fuzzy system.
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