Multi-sensing fusion with Blynk interface of internet-of-things for health monitoring system

Abstract

The rapid advancement of Internet of Things (IoT) technology has significantly influenced the development of wearable health monitoring systems, particularly within the realms of fitness and personal wellness. IoT-integrated wearables facilitate continuous, real-time monitoring of physiological parameters such as heart rate and body temperature, offering enhanced accuracy and consistency compared to traditional, intermittent assessment methods. Emerging trends highlight a transition from wrist-worn devices to smart garments, which enable more natural sensor distribution and improved user comfort. Among available development platforms, Arduino has been widely adopted due to its low cost, open-source nature, and compatibility with biomedical sensors. However, existing research predominantly emphasizes sensor performance and data transmission, with limited attention to user interaction and integrated garment design. Furthermore, many proposed systems remain at the prototype stage, lacking practical implementation. Despite advancements in smart textiles and data processing technologies, challenges such as power consumption, system complexity, and cost continue to hinder the development of accessible solutions. In response, this study presents an Arduino-based IoT fitness jacket designed for real-time monitoring of heart rate and body temperature, aiming to provide a practical, affordable, and user-friendly wearable solution for everyday health monitoring