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Predicting Bedside Falls using Current Context
(Peer reviewed; Chapter; Bokkapittel, 2018-02-05)
Each year about a third of the elderly aged 65 or older experience a fall. Many of these falls could be avoided if fall risk assessment and prevention tools where available in the daily living situation. Such tools would need to use the current context as input to predict an imminent fall. This paper presents an approach predicting imminent falls using data from a roof-mounted infrared array combined ...
Regression analysis using a blending type spline construction
(Peer reviewed; Chapter; Bokkapittel, 2017-10-18)
Regression analysis allows us to track the dynamics of change in measured data and to investigate their properties. A sufficiently good model allows us to predict the behavior of dependent variables with higher accuracy, and to propose a more precise data generation hypothesis.
By using polynomial approximation for big data sets with complex dependencies we get piecewise smooth functions. One way ...