Development of Invisible Sensors and a Machine-Learning-Based Recognition System Used for Early Prediction of Discontinuous Bed-Leaving Behavior Patterns

Development of Invisible Sensors and a Machine-Learning-Based Recognition System Used for Early Prediction of Discontinuous Bed-Leaving Behavior Patterns

This paper presents a novel bed-leaving sensor system for real-time recognition of bed-leaving behavior patterns. The proposed system comprises five pad sensors installed on a bed, a rail sensor inserted in a safety rail, and a behavior pattern recognizer based on machine learning. The linear charac...

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Bibliographic Details
Main Authors: Hirokazu Madokoro, Kazuhisa Nakasho, Nobuhiro Shimoi, Hanwool Woo, Kazuhito Sato
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
ambient sensors
home agent
life monitoring
machine learning
quality of life
random forest
Online Access:https://www.mdpi.com/1424-8220/20/5/1415

Internet

https://www.mdpi.com/1424-8220/20/5/1415

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