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A Study for Adapting the Monitoring System in Order to Prevent Fall Down from a Bed

  • Hironobu SatohEmail author
  • Kyoko Shibata
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 876)

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.

Keywords

Awaking behavior Monitoring system Deep Learning Kinect 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.National Institute of Information and Communications TechnologyKoganeiJapan
  2. 2.Kochi University of TechnologyKamiJapan

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