Abstract
U-Home is a home-service through an interaction between human and object. Smart-home-middle-wear provides its users with services needed through interactions between users and home equipment. In this study, users’ conditions in four rooms with Smart-home-middle-wear using had been sent through EG sensor device and they were then classified by emotion-perceiving-agent-system adapting an algorithm. The emotions, which were experimented, had been divided into eight categories; Normal, Happy, Surprise, Fear, Neural, Joy, Stress(Yes) and Stress(No). In this study’s experiments, modified Decision Tree algorithm was adapted and it extracted over 90% of results totally.
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Lee, H., Shin, D., Shin, D., Kim, S. (2013). A Classifier Algorithm Exploiting User’s Environmental Context and Bio-signal for U-Home Services. In: Park, J.J.(.H., Arabnia, H.R., Kim, C., Shi, W., Gil, JM. (eds) Grid and Pervasive Computing. GPC 2013. Lecture Notes in Computer Science, vol 7861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38027-3_64
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DOI: https://doi.org/10.1007/978-3-642-38027-3_64
Publisher Name: Springer, Berlin, Heidelberg
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