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Conventional methods predict emotion directly by measuring equipment like electrode. However, this approach is not suitable for education, especially for children. In this paper, we propose modular Bayesian networks for predicting the emotion with the environment information from the sensors. The Bayesian network is constructed as modules divided by Markov boundary. To evaluate the proposed method,...
Conventional method for determining the policy to control devices have problems of the race condition of two contexts. It can be solved by combining the probabilities of contexts. In this paper, we propose a method to determine the device control policy from the contexts, which infers the necessity of devices using modular Bayesian networks, and decides the device control policy using fuzzy inference...
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