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International Conference on Internet Science

INSCI 2019: Internet Science pp 341–347Cite as

Cognitive and Physiological Response for Health Monitoring in an Ageing Population: A Multi-modal System

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11938))

Abstract

In the last years, a rapid increase of life expectancy has been observed and thus ageing is becoming a hot topic in different research fields. Ensuring the wellbeing of elderly people has a positive impact on healthcare, economy and social equality and thus developing a system that takes into account and integrates physiological parameters, cognitive and physical training, elderly-user experience and perception of the system itself, may represent an innovative multi-modal mean through which ameliorate older people wellbeing.

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Author information

Authors and Affiliations

  1. Multi Media Signal Processing Laboratory, Department of Computer Sciences, Systems and Communications, University of Milano - Bicocca, Milan, Italy

    Aurora Saibene & Francesca Gasparini

Authors
  1. Aurora Saibene
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  2. Francesca Gasparini
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Corresponding author

Correspondence to Francesca Gasparini .

Editor information

Editors and Affiliations

  1. University of Perpignan Via Domitia, Perpignan Cedex 9, France

    Samira El Yacoubi

  2. University of Florence, Sesto Fiorentino, Italy

    Franco Bagnoli

  3. University of Florence, Sesto Fiorentino, Italy

    Giovanna Pacini

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Cite this paper

Saibene, A., Gasparini, F. (2019). Cognitive and Physiological Response for Health Monitoring in an Ageing Population: A Multi-modal System. In: El Yacoubi, S., Bagnoli, F., Pacini, G. (eds) Internet Science. INSCI 2019. Lecture Notes in Computer Science(), vol 11938. Springer, Cham. https://doi.org/10.1007/978-3-030-34770-3_29

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  • DOI: https://doi.org/10.1007/978-3-030-34770-3_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34769-7

  • Online ISBN: 978-3-030-34770-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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