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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

ISBN: 978-989-758-290-5

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 - Volume 5 VISAPP: VISAPP, ISBN 978-989-758-290-5, 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 - Volume 5 VISAPP: VISAPP,},
year={2018},
pages={439-445},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006602004390445},
isbn={978-989-758-290-5},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5 VISAPP: 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

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