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Sustainable Virtual Reality Patient Rehabilitation Systems with IoT Sensors Using Virtual Smart Cities

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  • Moustafa M. Nasralla

    (Department of Communications and Networks Engineering, Prince Sultan University, Riyadh 11586, Saudi Arabia)

Abstract

To develop sustainable rehabilitation systems, these should consider common problems on IoT devices such as low battery, connection issues and hardware damages. These should be able to rapidly detect any kind of problem incorporating the capacity of warning users about failures without interrupting rehabilitation services. A novel methodology is presented to guide the design and development of sustainable rehabilitation systems focusing on communication and networking among IoT devices in rehabilitation systems with virtual smart cities by using time series analysis for identifying malfunctioning IoT devices. This work is illustrated in a realistic rehabilitation simulation scenario in a virtual smart city using machine learning on time series for identifying and anticipating failures for supporting sustainability.

Suggested Citation

  • Moustafa M. Nasralla, 2021. "Sustainable Virtual Reality Patient Rehabilitation Systems with IoT Sensors Using Virtual Smart Cities," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:4716-:d:541726
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    References listed on IDEAS

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    1. Cristiano, S. & Ulgiati, S. & Gonella, F., 2021. "Systemic sustainability and resilience assessment of health systems, addressing global societal priorities: Learnings from a top nonprofit hospital in a bioclimatic building in Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    2. Nalini A. Mhetre & Arvind V. Deshpande & Parikshit Narendra Mahalle, 2016. "Trust Management Model based on Fuzzy Approach for Ubiquitous Computing," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 7(2), pages 33-46, July.
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    Cited by:

    1. Chao-Ming Wang & Cheng-Hao Shao & Cheng-En Han, 2022. "Construction of a Tangible VR-Based Interactive System for Intergenerational Learning," Sustainability, MDPI, vol. 14(10), pages 1-41, May.
    2. Wenjie Peng & Daizhong Su, 2022. "Novel ICT System for Recycling and Eco-Shopping," Sustainability, MDPI, vol. 14(13), pages 1-24, June.
    3. Aqeel Farooq & Mehdi Seyedmahmoudian & Ben Horan & Saad Mekhilef & Alex Stojcevski, 2021. "Overview and Exploitation of Haptic Tele-Weight Device in Virtual Shopping Stores," Sustainability, MDPI, vol. 13(13), pages 1-13, June.
    4. Gongyi Jiang & Weijun Gao & Meng Xu & Mingjia Tong & Zhonghui Liu, 2023. "Geographic Information Visualization and Sustainable Development of Low-Carbon Rural Slow Tourism under Artificial Intelligence," Sustainability, MDPI, vol. 15(4), pages 1-24, February.

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