A Visual Computing Approach for Estimating the Motility Index in the Frail Elder

Chiara Martini, Nicoletta Noceti, Manuela Chessa, Annalisa Barla, Alberto Cella, Gian Andrea Rollandi, Alberto Pilotto, Alessandro Verri, Francesca Odone

2018

Abstract

The accurate estimation of frailty is an important objective to assess the overall well-being and to predict the risk of mortality of elderly. Such evaluation is commonly based on subjective quantities both from self-reported outcomes and occasional physicians evaluations, leading to possibly biased results. An objective and continuous frailty screening tool may be more appropriate for routine assessment. In this paper, we present a data driven method to evaluate one of the main aspect contributing to the frailty estimation, i.e. the motility of the subject. To this aim, we define a motility index, estimated following a visual computing approach analysing streams of RGB-D data. We provide an extensive experimental assessment performed on two sets of data acquired in a sensorised facility located within a local hospital. The results are in good agreement with the assessment manually performed by the physicians, nicely showing the potential of our approach.

Paper Citation

in Harvard Style

Martini C., Noceti N., Chessa M., Barla A., Cella A., Rollandi G., Pilotto A., Verri A. and Odone F. (2018). A Visual Computing Approach for Estimating the Motility Index in the Frail Elder. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 5: VISAPP; ISBN 978-989-758-290-5, SciTePress, pages 439-445. DOI: 10.5220/0006602004390445

in Bibtex Style

@conference{visapp18,
author={Chiara Martini and Nicoletta Noceti and Manuela Chessa and Annalisa Barla and Alberto Cella and Gian Andrea Rollandi and Alberto Pilotto and Alessandro Verri and Francesca Odone},
title={A Visual Computing Approach for Estimating the Motility Index in the Frail Elder},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 5: VISAPP},
year={2018},
pages={439-445},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006602004390445},
isbn={978-989-758-290-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 5: VISAPP
TI - A Visual Computing Approach for Estimating the Motility Index in the Frail Elder
SN - 978-989-758-290-5
AU - Martini C.
AU - Noceti N.
AU - Chessa M.
AU - Barla A.
AU - Cella A.
AU - Rollandi G.
AU - Pilotto A.
AU - Verri A.
AU - Odone F.
PY - 2018
SP - 439
EP - 445
DO - 10.5220/0006602004390445
PB - SciTePress