Abstract
Recently, there is an increasing interest in and research on human engineering and emotion engineering. As a basic research on biofeedback interface technology, the development of a system for processing and modeling complex biomedical signals is very important, and these technologies will eventually offer a pleasant life environment, so the human-centered system based on biomedical signal analysis is the keyword of the future technology. In this study, a biofeedback interface was designed to analyze biomedical signals (EEG, ECG) to recognize the user concentration and emotion state as well as effectively assessing the user intention. Compared with the existing interface technique using single biomedical signals, the proposed technology can analyze complex biomedical signals to make it easy to assess the user state and intention and enhance the utilization thereof.
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Hwang, G., Cho, H., Shin, D., Shin, D. (2013). Emotion Recognition Technique Using Complex Biomedical Signal Analysis. 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_68
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DOI: https://doi.org/10.1007/978-3-642-38027-3_68
Publisher Name: Springer, Berlin, Heidelberg
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