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Authors: Chiara Martini 1 ; Nicoletta Noceti 1 ; Manuela Chessa 1 ; Annalisa Barla 1 ; Alberto Cella 2 ; Gian Andrea Rollandi 2 ; Alberto Pilotto 2 ; Alessandro Verri 1 and Francesca Odone 1

Affiliations: 1 Università degli Studi di Genova, Italy ; 2 E.O. Ospedali Galliera, Italy

Keyword(s): Visual Computing, Skeleton Data, Motility Index, Frailty, Aging.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses ; Video Surveillance and Event Detection

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.

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Paper citation in several formats:
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; ISSN 2184-4321, SciTePress, pages 439-445. DOI: 10.5220/0006602004390445

@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},
issn={2184-4321},
}

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
IS - 2184-4321
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