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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: April 2026
Volume 11 | Issue 4
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 119
Article Submitted : 22653
Article Published : 8822
Total Authors : 23281
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| Paper Title: | Design and Development of an ESP32-Enabled IoT Wearable for Stress Classification and Vital Sign Monitoring. |
| Authors Name: | ARAVINTH KUMAR P , ABINESH JOVITTER KASTON K , BARATH SUKUMAR E , KRISHNAMOORTHY A |
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IJRTI_209746
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| Published Paper Id: | IJRTI2602048 |
| Published In: | Volume 11 Issue 2, February-2026 |
| DOI: | |
| Abstract: | Stress has become a major health concern in modern society, contributing to cardiovascular disorders, metabolic imbalance, behavioral changes, and long-term psychological complications. Continuous monitoring of physiological indicators is essential for early stress awareness and preventive healthcare. This work presents the design and implementation of an IoT-based wearable health monitoring system capable of stress classification and vital sign tracking in real time. The proposed system integrates a heart rate sensor, body temperature sensor, and sweat sensor with an ESP32 microcontroller for data acquisition and wireless communication. Physiological readings are analyzed using threshold-based decision rules to infer stress state, and abnormal conditions trigger buzzer alerts to notify the wearer. A mobile application developed using the Blynk IoT platform provides remote visualization and cloud- based health logging, enabling continuous monitoring beyond clinical environments. Experimental validation confirms that the device operates reliably during varying physical and environmental conditions and provides consistent vital sign information in real time. Due to its low cost, mobility, and continuous operation, the system demonstrates strong suitability for personal healthcare, stress awareness, and preventive monitoring applications. |
| Keywords: | Vital sign monitoring, IoT wearable, ESP32 microcontroller, stress classification, physiological sensing, Blynk cloud, remote health monitoring, threshold-based detection, preventive healthcare, biosensing. |
| Cite Article: | "Design and Development of an ESP32-Enabled IoT Wearable for Stress Classification and Vital Sign Monitoring.", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 2, page no.a362-a366, February-2026, Available :http://www.ijrti.org/papers/IJRTI2602048.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2602048
Registration ID:209746
Published In: Volume 11 Issue 2, February-2026
DOI (Digital Object Identifier):
Page No: a362-a366 Country: madurai, Tamilnadu, India Research Area: Bio Medical Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2602048 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2602048 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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