Abstract
Human-body daily activity real-time monitoring system design method based on internet of things is proposed, which is able to detect elderly people body posture and biological signal at rehabilitation centers and nursing homes and doctor or their family can know patients’ body state through mobile phone or PC. It’s possible that number of nodes in each base station increase shapely cause network congestion. A new data transmission algorithm based on Bayesian network is presented, and the sensor under the Bayesian network distribution model and algorithm are built. Finally, experiments results indicate that Bayesian network parameters training method is effective and real-time performance of system is improved.
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© 2011 Springer-Verlag Berlin Heidelberg
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Sun, Y. (2011). Human Daily Activity Detect System Optimization Method Using Bayesian Network Based on Wireless Sensor Network. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23777-5_116
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DOI: https://doi.org/10.1007/978-3-642-23777-5_116
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23776-8
Online ISBN: 978-3-642-23777-5
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