Abstract
Aimed at the problem of catching cold resulted from immoderate-full quilt in infants sleeping, the study explored the mechanism of the sleeping fidget, and try to obtain model of the sleeping fidget respected with temperature, humidity, and their differentials. The study is motivated by ideas of artificial intelligence. Effective experience of nursing infants sleeping by housewives is simulated. Meanwhile, digital temperature and humidity sensors, micro-electronics and wireless communication technology is utilized to develop the corresponding data acquisition system about sleeping fidget experiments, then a large number of sample data from sleeping fidget experiment have been obtained. On the basis, neural network and other intelligent modeling approach is applied to address modeling, and several simplified mathematical model for sleeping fidget is also obtained. The model verifications show that some models is effective and very simple.
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Wang, Db., Liu, W., Zhao, Fg., Yu, W., Qu, Pf., Xu, J. (2009). Modeling for Sleeping Fidget Sensor Based on Multi-source Information Fusion. In: Cao, B., Li, TF., Zhang, CY. (eds) Fuzzy Information and Engineering Volume 2. Advances in Intelligent and Soft Computing, vol 62. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03664-4_105
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DOI: https://doi.org/10.1007/978-3-642-03664-4_105
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03663-7
Online ISBN: 978-3-642-03664-4
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