Libra3D: Body weight estimation for emergency patients in clinical environments with a 3D structured light sensor
Christian Pfitzner, Stefan May, Christian Merkl, Lorenz Breuer, Martin Köhrmann, Joel Braun, Franz Dirauf, Andreas Nüchter
Abstract
This paper describes the application of a weight estimation method for emergency patients in clinical environments. The approach applies established algorithms for point cloud processing and filtering to data from a low-cost, structured light sensor. A patient's volume is estimated on the basis of their visible front surface. The approach is currently being tested in the workflow of the emergency room at the Universitätsklinikum Erlangen, Germany. Preliminary results show the accuracy of the approach in relation to other conservative means of weight measurements, for example, by physicians and anthropometric measurements.
BibTeX
@inproceedings{icra2015_libra3dbodyweigh,
title = {Libra3D: Body weight estimation for emergency patients in clinical environments with a 3D structured light sensor},
author = {Christian Pfitzner and Stefan May and Christian Merkl and Lorenz Breuer and Martin Köhrmann and Joel Braun and Franz Dirauf and Andreas Nüchter},
booktitle = {ICRA 2015},
year = {2015}
}