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Array of Things for Smart Health Solutions Injury Prevention, Performance Enhancement and Rehabilitation

  • S. M. N. Arosha SenanayakeEmail author
  • Siti Asmah @ Khairiyah Binti Haji Raub
  • Abdul Ghani Naim
  • David Chieng
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 880)

Abstract

Data visualization on wearable devices using cloud servers can provide solutions for personalized healthcare monitoring of general public leading to smart nation. The objective of this research is to develop personalized healthcare IoT assistive devices/tools for injury prevention, performance enhancement and rehabilitation using an Intelligent User Interfacing System. It consists of Array of Things (AoT) which interconnects hybrid prototypes built using different wearable measurement and instrumentations multimodel sensor system for transient and actual health status and classification. Android platforms have been used to prove the success of AoT using national athletes and soldiers with whom were permitted the implementation of a knowledge base encapsulated reference/benchmarking massive retrieve, retain, reuse and revise health pattern sets accessible via case base reasoning cloud storage. Two case studies were conducted for injury prevention and rehabilitation and performance enhancement of soldiers and athletes using smart health algorithms. Validation and testing were carried out using Samsung Gear S3 smart watches in real time.

Keywords

Array of Things (AoT) Personalize healthcare Multimodel sensor system Transient health Smart health 

Notes

Acknowledgments

This publication is part of the output of the ASEAN Institutes of Virtual Organization at National Information and Communications Technology (NICT), Tokyo, Japan; ASEAN IVO project with the title “IoT system for Public Health and Safety Monitoring with Ubiquitous Location Tracking”. This research is also partially funded by the University Research Council (URC) grant scheme of Universiti Brunei Darussalam under the grant No: UBD/PNC2/2/RG/1(195).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • S. M. N. Arosha Senanayake
    • 1
    • 2
    Email author
  • Siti Asmah @ Khairiyah Binti Haji Raub
    • 2
  • Abdul Ghani Naim
    • 1
    • 2
  • David Chieng
    • 3
  1. 1.Institute of Applied Data AnalyticsUniversity of Brunei DarussalamGadongBrunei
  2. 2.Faculty of ScienceUniversity of Brunei DarussalamGadongBrunei
  3. 3.Wireless InnovationMIMOS BerhardKuala LumpurMalaysia

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