Machine Learning for Decision Making in Healthcare

Rizwan, Ali; Öztürk, Metin; Ali, Najah Abu; Zoha, Ahmed; Abbasi, Qammer H.; Imran, Muhammad

doi:10.1002/9781119644316.ch5

Cited by 1 publication

(1 citation statement)

References 21 publications

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“…Many ML algorithms employ the tf-pose skeleton as a feature to extract the locations of the human body joints (KNN, logistic regression, SVM, NB, DT, and RF). The RF model has the greatest level of accuracy [ 122 , 123 , 124 , 128 ]. Another posture issue that impacts people is that they spend most of their time sitting down.…”

Section: Detection Of Yoga Using Intelligent Internet Of Thingsmentioning

confidence: 99%

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

et al. 2023

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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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