Acquisition and preprocessing of data from infrared depth sensors to be applied for patients monitoring

A methodology for acquisition and preprocessing of real-world data, necessary for the development of classification algorithms dedicated to fall detection, is proposed. Raw measurements are acquired by means of infrared depth sensors. Their preprocessing consists of two main operations: extraction of the silhouette from the depth image and estimation of the coordinates of the center of that silhouette and its magnitude. The algorithms of classification under development are supplied with sequences of those parameters, corresponding to the consecutive images acquired by a depth sensor.