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      Yoga Meets Intelligent Internet of Things: Recent Challenges and Future Directions

      , , , ,
      Bioengineering

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          Abstract

          The physical and mental health of people can be enhanced through yoga, an excellent form of exercise. As part of the breathing procedure, yoga involves stretching the body organs. The guidance and monitoring of yoga are crucial to ripe the full benefits of it, as wrong postures possess multiple antagonistic effects, including physical hazards and stroke. The detection and monitoring of the yoga postures are possible with the Intelligent Internet of Things (IIoT), which is the integration of intelligent approaches (machine learning) and the Internet of Things (IoT). Considering the increment in yoga practitioners in recent years, the integration of IIoT and yoga has led to the successful implementation of IIoT-based yoga training systems. This paper provides a comprehensive survey on integrating yoga with IIoT. The paper also discusses the multiple types of yoga and the procedure for the detection of yoga using IIoT. Additionally, this paper highlights various applications of yoga, safety measures, various challenges, and future directions. This survey provides the latest developments and findings on yoga and its integration with IIoT.

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            ImageNet classification with deep convolutional neural networks

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              PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews

              The methods and results of systematic reviews should be reported in sufficient detail to allow users to assess the trustworthiness and applicability of the review findings. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement was developed to facilitate transparent and complete reporting of systematic reviews and has been updated (to PRISMA 2020) to reflect recent advances in systematic review methodology and terminology. Here, we present the explanation and elaboration paper for PRISMA 2020, where we explain why reporting of each item is recommended, present bullet points that detail the reporting recommendations, and present examples from published reviews. We hope that changes to the content and structure of PRISMA 2020 will facilitate uptake of the guideline and lead to more transparent, complete, and accurate reporting of systematic reviews.
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                Author and article information

                Contributors
                (View ORCID Profile)
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                Journal
                BIOENG
                Bioengineering
                Bioengineering
                2306-5354
                April 2023
                April 09 2023
                : 10
                : 4
                : 459
                Article
                10.3390/bioengineering10040459
                37106646
                78014ed5-cde2-4b72-8438-368372f5f14e
                © 2023

                https://creativecommons.org/licenses/by/4.0/

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