Higher-order Multivariable Polynomial Regression to Estimate Human Affective States
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/srep23384.pdf
Reference68 articles.
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3. Calvo, R. A. & D’Mello, S. Affect detection: An interdisciplinary review of models, methods and their applications. IEEE Transactions on Affective Computing 1, 18–37 (2010).
4. Schaaff, K. & Schultz, T. Towards an eeg-based emotion recognizer for humanoid robots. In Robot and Human Interactive Communication, 2009. RO-MAN 2009. The 18th IEEE International Symposium on, 792–796 (IEEE, 2009).
5. Novak, D., Mihelj, M. & Munih, M. A survey of methods for data fusion and system adaptation using autonomic nervous system responses in physiological computing. Interacting with Computers 24, 154–172 (2012).
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