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Internet of Things and Cloud Activity Monitoring Systems for Elderly Healthcare

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Internet of Things for Human-Centered Design

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1011))

Abstract

According to the World Health Organization, people aged 60 years and above globally will be 2 billion in 2050 by increasing from its present 841 million populaces. With the recent advances in smart healthcare systems that make treatment available for all, it is expected that longevity becomes the norm for humans. Providing a convenient platform for elderly patients has therefore become the attraction of various researchers from different fields, and this makes the smart healthcare system become a point of desirability for many. The advancement in information technology especially in the area of Internet of Things (IoT), cloud computing, and wearable devices has helped bring healthcare nearer to the rural areas and improve elderly care globally. Ambient Assisted Living (AAL) makes it possible to incorporate emerging technology into our everyday activities. Therefore, this chapter explains the important role of IoT and Cloud activity monitoring systems for elderly healthcare in medicine to reduce caregivers’ needs and help the aged live an active life. Also, proposes a framework of an intelligent IoT and cloud activity monitoring system for elderly healthcare using a wearable body sensor network. The suggested system educates and warns healthcare workers in real-time about changes in the health status of aged patients in order to recommend preventative steps that can save lives. The proposed system can accommodate any number of wearable sensors devices and a huge number of applications. The platform also enables remote health monitoring, and real-time monitoring, thus reduce the workload on the medical personnel. IoT and cloud activity monitoring system is a quick and rapid way of monitoring, and diagnosis of elderly patients by depriving them of diffusion of the infection to others.

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Authors and Affiliations

  1. Department of Computer Science, University of Ilorin, Ilorin, Nigeria

    Joseph Bamidele Awotunde, Oluwafisayo Babatope Ayoade, Muyideen AbdulRaheem & Idowu Dauda Oladipo

  2. Department of Agricultural Extension and Rural Development, Landmark University, Omu Aran, Nigeria

    Gbemisola Janet Ajamu

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  1. University of Antwerp, Antwerp, Belgium

    Sofia Scataglini

  2. Università degli Studi di Ferrara, Ferrara, Italy

    Silvia Imbesi

  3. Polytechnic of Coimbra, ESTGOH, Rua General Santos Costa, Oliveira do Hospital, Portugal

    Gonçalo Marques

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Awotunde, J.B., Ayoade, O.B., Ajamu, G.J., AbdulRaheem, M., Oladipo, I.D. (2022). Internet of Things and Cloud Activity Monitoring Systems for Elderly Healthcare. In: Scataglini, S., Imbesi, S., Marques, G. (eds) Internet of Things for Human-Centered Design. Studies in Computational Intelligence, vol 1011. Springer, Singapore. https://doi.org/10.1007/978-981-16-8488-3_9

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  • DOI: https://doi.org/10.1007/978-981-16-8488-3_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-8487-6

  • Online ISBN: 978-981-16-8488-3

  • eBook Packages: EngineeringEngineering (R0)

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