Estimation of Movement Speed in Monitoring Systems based on Sensors of Multiple Types

The research reported in this paper is related to the differentiation and fusion of measurement data in systems for healthcare-oriented unobtrusive monitoring of elderly persons. Two methods for regularised numerical differentiation – suitable for different shapes of trajectories of the monitored person’s movement – are considered. A technique for the fusion of data from sensors of different types – which involves weighting those data according to the available a priori information about the variances of errors corrupting those data – is presented. Guidelines on the usage and optimisation of that technique are provided according to the results of numerical experimentation based on synthetic data.

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