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Towards a Low-Cost Companion Robot for Helping Elderly Well-Being

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Intelligent Data Engineering and Automated Learning – IDEAL 2022 (IDEAL 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13756))

Abstract

The use of robot assistants and companion robots has been shown to improve the well-being of the elderly, enabling them to improve their quality of life. Nowadays, many older people live alone and do not have the resources to acquire specialized systems to monitor and accompany them. But at the same time, they are under the supervision of specialized personnel that make them feel safe. Loneliness can be a crucial element that affects many people’s lives; not having someone to talk to or hang out with is a current concern. This work explores this issue by developing a small companion robot and a heart signal monitoring system (ECG). The presented approach is inexpensive, easy to maintain, and integrates machine learning (ML) models and the Alexa voice assistant.

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Notes

  1. 1.

    https://www.kaggle.com/datasets/shayanfazeli/heartbeat.

  2. 2.

    https://www.physionet.org/content/ptbdb/1.0.0/.

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Acknowledgements

This work was partly supported by the Spanish Government (RTI2018-095390-B-C31),Universitat Politecnica de Valencia Research Grant PAID-10-19, Consellería d’Innovació, Universitats, Ciencia i Societat Digital from Comunitat Valenciana (CIPROM/2021/077, BEST 2022 and APOSTD/2021/227) and the European Social Fund (Investing In Your Future).

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Authors and Affiliations

  1. Valencian Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain

    J. A. Rincon, C. Marco-Detchart, V. Julian & C. Carrascosa

  2. ALGORITMI Centre, Universidade do Minho, Braga, Portugal

    P. Novais

Authors
  1. J. A. Rincon
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  2. C. Marco-Detchart
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  3. V. Julian
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  4. C. Carrascosa
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  5. P. Novais
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Corresponding author

Correspondence to J. A. Rincon .

Editor information

Editors and Affiliations

  1. University of Manchester, Manchester, UK

    Hujun Yin

  2. Technical University of Madrid, Madrid, Spain

    David Camacho

  3. University of Birmingham, Birmingham, UK

    Peter Tino

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Rincon, J.A., Marco-Detchart, C., Julian, V., Carrascosa, C., Novais, P. (2022). Towards a Low-Cost Companion Robot for Helping Elderly Well-Being. In: Yin, H., Camacho, D., Tino, P. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2022. IDEAL 2022. Lecture Notes in Computer Science, vol 13756. Springer, Cham. https://doi.org/10.1007/978-3-031-21753-1_18

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  • DOI: https://doi.org/10.1007/978-3-031-21753-1_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21752-4

  • Online ISBN: 978-3-031-21753-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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