Abstract
In hospitals, older people often fall down from a bed. This accident causes a decline in the quality of life of due to an injury. Therefore, the researchers develop a monitoring system which avoid falling down from a bed with Deep Belief Network. However, the proposed monitoring system is not able to individual differences. The proposed is a new learning method to adapt the proposed system for individual difference of behaviors. An experiment was conducted to verify the effectiveness of the proposed learning method. From the experimental result, the proposed learning method has the ability of adapting the proposed system to the individual difference of a behavior.
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Satoh, H., Shibata, K. (2019). A Study for Adapting the Monitoring System in Order to Prevent Fall Down from a Bed. In: Ahram, T., Karwowski, W., Taiar, R. (eds) Human Systems Engineering and Design. IHSED 2018. Advances in Intelligent Systems and Computing, vol 876. Springer, Cham. https://doi.org/10.1007/978-3-030-02053-8_154
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DOI: https://doi.org/10.1007/978-3-030-02053-8_154
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