Smart Healthcare Monitoring and Alerts Using Fog Computing and IoT

DOI

10.2991/978-94-6463-858-5_157How to use a DOI?

Keywords

Internet of Things; fog computing; health hazards identification; and gym activity monitoring; Intelligent exercise and machine learning

Abstract

Intelligent wearable using machine learning IoT solutions are developing quickly to track and control healthcare and physical activity. The fog-centric, wireless, real-time smart wearable IoT framework for ubiquitous fitness and health analysis in a smart gym setting isthe primary focus of this study. The suggested framework analyzes body vitals, movement, and health-related data to serve the fitness and healthcare industries. It helps trainers and physicians recognize bodily cues and set off alarms in the event of health hazards. We present a technique to gather and evaluate exercise-specific data in order to evaluate exercise intensity and health benefits as a recommendation system for athletes. The framework’s efficacy was assessed throughout the course of a six-week training regimen that included one recovery day and six days of focused activities. ECG, heart rate, fluctuation of heart rate, and breath rate were collected as we used 3D acceleration to track movement.The gathered data is processed via modules. With a 95 percentage accuracy rate in identifying health hazards, the Health Zone (Hzone) module classifies health condition according to bodily vitals. Using motion and vital signs, the Gym Activities Recognition (GAR) module classifies exercises and identifies individual routines based on muscle groups with an accuracy of over 89 per cent.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - M. Renu Babu
AU  - D. Vemana Chary
AU  - K. Venkata Murali Mohan
AU  - Radhamma Erigela
PY  - 2025
DA  - 2025/11/04
TI  - Smart Healthcare Monitoring and Alerts Using Fog Computing and IoT
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 1901
EP  - 1911
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_157
DO  - 10.2991/978-94-6463-858-5_157
ID  - Babu2025
ER  -