Abstract
This paper presents a Japanese emotional database that contains speech and physiological signals that can be used to develop algorithms for emotion recognition using audio, physiological signals, or several combined signals. Research on emotions was underpinned by using this database, and health-care oriented applications were the main reason this database was constructed. All six basic human emotions were elicited by using real emotional experiences, which had different impacts on health conditions. We also describe the experimental setup and protocols. Finally, signals from more than 50 people were included in the database.
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© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhang, H. et al. (2014). A Database of Japanese Emotional Signals Elicited by Real Experiences. In: Cipresso, P., Matic, A., Lopez, G. (eds) Pervasive Computing Paradigms for Mental Health. MindCare 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 100. Springer, Cham. https://doi.org/10.1007/978-3-319-11564-1_1
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DOI: https://doi.org/10.1007/978-3-319-11564-1_1
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