DEVELOPMENT OF SMART TEXTILE FOR INFANT HEALTH MONITORING BY INTEGRATING IoT AND MACHINE LEARNING

MOUNIKA C · PSG Institute of Advanced Studies · 2026

This research presents a smart textile wristband for real-time infant health monitoring using IoT and machine learning.

High AI ConfidenceStrong SourceLaboratory ResearchEarly Research

Plain English summary

The paper discusses the development of a cotton-based smart fabric wristband designed for continuous monitoring of infants' health. It integrates temperature and heart rate sensors, ensuring comfort and safety for sensitive skin. The system allows for real-time data visualization and predictive healthcare through machine learning algorithms.

Why this matters

This research addresses the need for non-invasive health monitoring in infants, which is crucial for early detection of health issues. By combining smart textiles with IoT technology, it enhances pediatric care and could significantly improve health outcomes for infants.

Key findings

  • Fabrication of a cotton-based smart fabric wristband for infants.
  • Integration of sensors for real-time physiological monitoring.
  • Use of machine learning for predictive healthcare.
  • Testing for fabric elasticity, wash durability, and skin compatibility.
  • Comparison of sensor performance against clinical reference devices.

What's new

The integration of smart textiles with IoT and machine learning for active infant health monitoring is a novel approach.

Limitations

The abstract does not provide details on the sample size or long-term effectiveness of the monitoring system.

Commercial context

The technology is still in the development phase and has not yet been commercialized.

Publication

Publisher
PSG Institute of Advanced Studies
Publication date
May 31, 2026
Research type
Paper

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Method note: Summaries and ratings on this page are generated by AI from the abstract only. Read the original paper for full context. · Model: gpt-4o-mini-2024-07-18