IoT Based Continuous HydrationMonitoring System of Human Body

This research paper discusses the latest developments in monitoring hydration levels using temperature sensor and pulse oximeter. It highlights how these technologies can work together to provide a more accurate and complete picture of a person’s hydration status. The paper first explains how temperature and pulse oximetry relate to hydration, helping us understand how they detect changes in fluid levels in the body. It then looks at advancements in wearable sensors, which are now smaller, more accurate, and comfortable for long-term use. The integration of these sensors in wearable devices allows them to capture various aspects of hydration. The paper also explores how machine learning can improve personalized hydration assessments by analyzing data from these sensors. Additionally, it addresses challenges like the impact of environmental factors and individual differences on hydration monitoring. Finally, the paper highlights the potential use of these technologies in areas such as sports, healthcare, and preventive medicine.

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Publication Details

Published
2024-09-12
DOI
https://doi.org/10.1109/sparc61891.2024.10829357
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

IoT Based Continuous HydrationMonitoring System of Human Body

Bharosh Kumar Yadav, A. K. Srivastava, Dharmendra Singh, Shubham Yadav et al.
IoT-based Smart Home Systems
article

IoT Based Continuous HydrationMonitoring System of Human Body

Bharosh Kumar Yadav, A. K. Srivastava, Dharmendra Singh, Shubham Yadav, Rafik Ahmad
article en

Abstract

This research paper discusses the latest developments in monitoring hydration levels using temperature sensor and pulse oximeter. It highlights how these technologies can work together to provide a more accurate and complete picture of a person’s hydration status. The paper first explains how temperature and pulse oximetry relate to hydration, helping us understand how they detect changes in fluid levels in the body. It then looks at advancements in wearable sensors, which are now smaller, more accurate, and comfortable for long-term use. The integration of these sensors in wearable devices allows them to capture various aspects of hydration. The paper also explores how machine learning can improve personalized hydration assessments by analyzing data from these sensors. Additionally, it addresses challenges like the impact of environmental factors and individual differences on hydration monitoring. Finally, the paper highlights the potential use of these technologies in areas such as sports, healthcare, and preventive medicine.

Babu Banarasi Das University (IN)
Openalex Percentile: Top 77%
IoT-based Smart Home Systems
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IoT Based Continuous HydrationMonitoring System of Human Body — Bharosh Kumar Yadav, A. K. Srivastava, et al. · (2024) | TGRS Research Map | TGRS