Abstract
Elderly sometime falls down from the bed. And, elderly’s thighbone is broken. This accident makes it that it is decline that the quality of life of elderly. Therefore, to solve this problem, we proposed monitoring system. The proposed monitoring system is not able to adapt individual differences. To solve this problem, we proposed a new learning method. From the results of the previous researches, the new learning method is adapted to the proposed monitoring system. And ability of the proposed monitoring system is increase. From the experimental result, when the initial learning is completed, detection rate of the dangerous behavior is 79.8% (399/500) and detection rate of the safe behavior is 82.4% (412/500). After proposed learning method is executed, detection rate of the dangerous behavior is 84.0% (420/500) and detection rate of the safe behavior is 91.0% (455/500) From the experimental results, it is concluded that the predicts rate increase.
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Satoh, H., Shibata, K. (2020). Improvement of a Monitoring System for Preventing Elderly Fall Down from a Bed. In: Ahram, T., Karwowski, W., Pickl, S., Taiar, R. (eds) Human Systems Engineering and Design II. IHSED 2019. Advances in Intelligent Systems and Computing, vol 1026. Springer, Cham. https://doi.org/10.1007/978-3-030-27928-8_108
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DOI: https://doi.org/10.1007/978-3-030-27928-8_108
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