Abstract
As the proportion of old people of our society grows bigger, the movement safety of old people has become a social problem. For the old people who suffer from harmful falling, one of the best steps he can take is ensuring that reliable and immediate help is available to reach him at all times. So, it is very important to set up a perfect fall detection system that can monitor the daily movement of old people with falling potential. The fall detection algorithm is the key part of fall detection system for old people. To solve the existing problems, an improved fall detection algorithm for old people base on support vector machine was proposed in the paper. Through experimental verification and comparative analysis, we found that the proposed algorithm has better performance than other researcher’s fall detection algorithm.
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Acknowledgments
This paper work is supported by 2017 Natural Science Foundation of Hubei (No.2017CFB560, Research and Application of Energy Expenditure Self-monitoring Method of Old People).
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Luo, Q. (2018). Research on an Improved Fall Detection Algorithm for Elder People. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration. IHSI 2018. Advances in Intelligent Systems and Computing, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-73888-8_17
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DOI: https://doi.org/10.1007/978-3-319-73888-8_17
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