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Internet of Things with Wearable Devices and Artificial Intelligence for Elderly Uninterrupted Healthcare Monitoring Systems

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Applied Informatics (ICAI 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1643))

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Abstract

The advent of recent pandemics has changed the priority given to the healthcare system by each country, and this has changed the thinking of many towards the management of health-related illnesses. The Internet of Things (IoT) interconnects with smart devices in today’s Internet and has changed the trend in the next-generation technologies. This comes with various advantages like the connectivity of smart devices with several services to amass a huge amount of data and connectivity. These have revolutionized modern healthcare by assuring economic, social, and technological prospects. There has been an increase in the number of elderly people living or staying alone, and the need of monitoring them remotely increasing exponentially. Hence, the use of IoT-based systems can be used to leverage these challenges. The combination of IoT-wearable devices enabled by Artificial Intelligence can be used to solve some of these problems by monitoring elderly persons remotely and allowing them to conduct their day-to-day activities without any fear. Therefore, this paper proposed IoT-wearable enabled AI to remotely monitor elderly persons in real-time. Various wearable sensors were used to capture elderly physiological signs, the IoT-based cloud database was used to store the captured data, and the AI model was to process the data for effective decision-making. The health status of the elderly gets to the healthcare workers in real-time, thus enabling them to give precautionary advice to save lives. The system will also reduce the workload of medical personnel by monitoring elderly persons in real-time and remotely.

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Author information

Authors and Affiliations

  1. University of Ilorin, Ilorin, Nigeria

    Joseph Bamidele Awotunde

  2. Ladoke Akintola University of Technology, Ogbomoso, Nigeria

    Sunday Adeola Ajagbe

  3. Universidad Distrital Francisco Jose de Caldas, Bogota, Colombia

    Hector Florez

Authors
  1. Joseph Bamidele Awotunde
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  2. Sunday Adeola Ajagbe
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  3. Hector Florez
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Corresponding author

Correspondence to Sunday Adeola Ajagbe .

Editor information

Editors and Affiliations

  1. Universidad Distrital Francisco Jose de Caldas, Bogota, Colombia

    Hector Florez

  2. Universidad Continental, Arequipa, Peru

    Henry Gomez

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Awotunde, J.B., Ajagbe, S.A., Florez, H. (2022). Internet of Things with Wearable Devices and Artificial Intelligence for Elderly Uninterrupted Healthcare Monitoring Systems. In: Florez, H., Gomez, H. (eds) Applied Informatics. ICAI 2022. Communications in Computer and Information Science, vol 1643. Springer, Cham. https://doi.org/10.1007/978-3-031-19647-8_20

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  • DOI: https://doi.org/10.1007/978-3-031-19647-8_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-19646-1

  • Online ISBN: 978-3-031-19647-8

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