Abstract
Human behaviors monitoring by using wireless sensor networks has gained tremendous interest in recent years from researchers in many areas. To distinguish behaviors from on-body sensor signals, many classification methods have been tried, but most of them lack the relearning ability, which is quite important for long-term monitoring applications. In this paper, a relearning probabilistic neural network is proposed. The experimental results showed that the proposed method achieved good recognition performance, as well as the relearning ability.
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Jiang, M., Qiu, S. (2013). Relearning Probability Neural Network for Monitoring Human Behaviors by Using Wireless Sensor Networks. In: Guo, C., Hou, ZG., Zeng, Z. (eds) Advances in Neural Networks – ISNN 2013. ISNN 2013. Lecture Notes in Computer Science, vol 7952. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39068-5_57
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DOI: https://doi.org/10.1007/978-3-642-39068-5_57
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