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Authors: Giuseppe Boccignone 1 ; Claudio de’Sperati 2 ; Marco Granato 1 ; Giuliano Grossi 1 ; Raffaella Lanzarotti 1 ; Nicoletta Noceti 3 and Francesca Odone 3

Affiliations: 1 Department of Computer Science, Università degli Studi di Milano, Milan, Italy ; 2 Department of Psychology, Università Vita-Salute San Raffaele, Milan, Italy ; 3 MaLGa Center - DIBRIS - Università di Genova, Genova, Italy

Keyword(s): Emotion Recognition, Social Attitude, Video Speed Tuning, Emotion Regulation, Emotion-aware Ambient Intelligence (AmE), Multi-modal Data, Gerontechnology.

Abstract: The physical and mental health in elderly population is an emergent issue which in recent years has become an urgent socio-economic phenomenon. Computer scientists, together with physicians and caregivers have devoted a great research effort to conceive and devise assistive technologies, aiming at safeguarding elder health, while a marginal consideration has been devoted to their emotional domain. In this manuscript we outline the research plan and the objectives of a current project called Stairway to elders: bridging space, time and emotions in their social environment for wellbeing”. Through a set of sensors, which include cameras and physiological sensors, we aim at developing computational methods for understanding the affective state and socialization attitude of older people in ecological conditions. A valuable by-product of the project will be the collection of a multi-modal dataset to be used for model design, and that will be made available to the research community. The ou tcomes of the project should support the design of an environment which automatically (or semi-automatically) adapts its conditions to the affective state of older people, with a consequent improvement of their life quality. (More)

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Paper citation in several formats:
Boccignone, G.; de’Sperati, C.; Granato, M.; Grossi, G.; Lanzarotti, R.; Noceti, N. and Odone, F. (2020). Stairway to Elders: Bridging Space, Time and Emotions in Their Social Environment for Wellbeing. In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-397-1; ISSN 2184-4313, SciTePress, pages 548-554. DOI: 10.5220/0009106605480554

@conference{icpram20,
author={Giuseppe Boccignone. and Claudio de’Sperati. and Marco Granato. and Giuliano Grossi. and Raffaella Lanzarotti. and Nicoletta Noceti. and Francesca Odone.},
title={Stairway to Elders: Bridging Space, Time and Emotions in Their Social Environment for Wellbeing},
booktitle={Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2020},
pages={548-554},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009106605480554},
isbn={978-989-758-397-1},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Stairway to Elders: Bridging Space, Time and Emotions in Their Social Environment for Wellbeing
SN - 978-989-758-397-1
IS - 2184-4313
AU - Boccignone, G.
AU - de’Sperati, C.
AU - Granato, M.
AU - Grossi, G.
AU - Lanzarotti, R.
AU - Noceti, N.
AU - Odone, F.
PY - 2020
SP - 548
EP - 554
DO - 10.5220/0009106605480554
PB - SciTePress