Intelligent Real-Time Fitness Observation System Using IoT and Deep Learning

Authors

  • Kasi Venkata kiran , T. Srinivasa Rao Author

DOI:

https://doi.org/10.48047/583zct05

Keywords:

Deep neural network, Deep learning network, Diseases, Healthcare system, Internet of things.

Abstract

The widespread adoption of smart healthcare monitoring systems is on the rise due to IoT-powered handy
medical devices. Now the integration of IoT and the deep learning cutting-edge the healthcare activity is
transforming patient care by shifting from traditional in-person consultations to telemedicine, aiding in disease
prevention. In the context of safeguarding athletes from severe, life dangerous conditions like hurts, wounds
and injuries during competitions and training time, continuous instantaneous observing of physical indicators
show off fundamental. This study introduces a real-time health observing system based on deep learning and
IoT. 

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Published

2025-02-03

How to Cite

Intelligent Real-Time Fitness Observation System Using IoT and Deep Learning (Kasi Venkata kiran , T. Srinivasa Rao , Trans.). (2025). Cuestiones De Fisioterapia, 54(3), 2651-2665. https://doi.org/10.48047/583zct05