An Ageing AI Wearable Safety Device

Authors

  • A Punitha Associate professor, Dept. of ECE, K Ramakrishnan College of Technology, Tiruchirappalli, India. Author
  • R Hariharan UG Scholar, Dept. of ECE, K Ramakrishnan College of Technology, Tiruchirappalli, India. Author
  • T Jawahar UG Scholar, Dept. of ECE, K Ramakrishnan College of Technology, Tiruchirappalli, India. Author
  • G Jeeva Chandran UG Scholar, Dept. of ECE, K Ramakrishnan College of Technology, Tiruchirappalli, India. Author
  • S Keerthick Kumar UG Scholar, Dept. of ECE, K Ramakrishnan College of Technology, Tiruchirappalli, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2025.0264

Keywords:

Health Monitoring, Fall Prevention, Elderly Safety, Artificial Intelligence (AI), Wearable Technology

Abstract

As the world’s population ages, there is an increased danger of falls and associated injuries, which calls for creative solutions to protect people’s safety and wellbeing. This study introduces a brand-new wearable safety gadget with AI capabilities desigviduals. The device integrates advanced sensors, machine learning algorithms, and real-time analytics to predict, detect, and prevent falls while offering continuous health monitoring. Unlike traditional methods reliant on static thresholds or manual monitoring, the proposed system leverages adaptive AI models and edge computing for enhanced accuracy and responsiveness. Through comprehensive testing and validation, the wearable demonstrated superior performance in real-world scenarios, addressing limitations of existing systems. This study underscores the potential of AI and wearable technologies in revolutionizing elderly care and fostering independent living.

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Published

2025-04-28

How to Cite

An Ageing AI Wearable Safety Device. (2025). International Research Journal on Advanced Engineering Hub (IRJAEH), 3(04), 1828-1835. https://doi.org/10.47392/IRJAEH.2025.0264

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