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- W2744295972 abstract "This paper proposes a monitoring system to prevent falls from a bed. The position of patient on the bed is categorized as stable and unstable. The system has defined the unstable condition as the situation where a patient is lying on the edge of the bed. The patient was then observed using a thermal imagery camera. We extracted x-, and y-axis histograms that can be used as a feature, using this camera. We used the SVM (Support Vector Machine) to decide an optimal decision boundary and achieved an accuracy of 99.70%." @default.
- W2744295972 created "2017-08-17" @default.
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- W2744295972 date "2017-06-01" @default.
- W2744295972 modified "2023-09-27" @default.
- W2744295972 title "Histogram based fall prediction of patients using a thermal imagery camera" @default.
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- W2744295972 doi "https://doi.org/10.1109/urai.2017.7992700" @default.
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