Abstract
Under the background of global ageing and empty nest families, the senior tumble behavior has becomes a focus problem in today’s society. In order to provide timely help for seniors, and relieve the injury of tumble to them, a judgment method of senior tumble behavior based on potential behavior association mining is proposed in this paper. Using clustering algorithm and the mining algorithm for potential behavior association rule, it calculates the similarity of the senior behavior feature, then extracts the senior behavior features, calculates correlations between behavior features in seniors, which can complete data mining in senior tumble behavior. The experimental results show that the proposed algorithm could greatly improve the accuracy of the senior tumble identification, so as to provide security for senior trips.
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Acknowledgments
Supported by Science and Technology Research Project of Hubei Provincial Educational Commission (No. B2016482).
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Qiusheng, Z., Mingyu, L., Jianping, J. (2018). Study on Tumble Behavior Recognition Based on Mining Algorithm for Potential Behavior Association. In: Xhafa, F., Patnaik, S., Zomaya, A. (eds) Advances in Intelligent Systems and Interactive Applications. IISA 2017. Advances in Intelligent Systems and Computing, vol 686. Springer, Cham. https://doi.org/10.1007/978-3-319-69096-4_28
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DOI: https://doi.org/10.1007/978-3-319-69096-4_28
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