VitalSignRadar

Healthcare & Medical Applications

Millimetre-wave radar that monitors breathing and micro-movements through clothing and barriers, with no wearable or physical contact required.

Lead researcher: Libin Mathew
Institution: South East Technological University

About the project

VitalSignRadar develops an advanced radar sensing system that leverages 5G/6G millimeter-wave technology to detect and monitor subtle physiological and motion-related signals without requiring physical contact. By capturing parameters such as micro-movements, respiration patterns, and other dynamic changes through clothing or barriers, the system enables accurate, real-time, and remote monitoring. Its portable design provides a powerful alternative to conventional wearable or contact-based solutions, with applications across diverse domains including healthcare, sports performance, security, human–computer interaction, and smart environments.
The key objectives for VitalSignRadar are:

1.Develop a non-contact sensing system based on mmWave radar capable of detecting physiological signals such as heartbeat, respiratory rate, and body movements.
2.Configure the hardware and software framework, integrating advanced AI and signal processing algorithms to enable accurate radar sensing, and develop software capable of estimating and providing real-time updates of the monitored values.
3.Evaluate and benchmark the system’s performance by assessing the accuracy of the models and comparing them against established standards or reference systems.

Last updated: 8 September 2026

Expected impact

1. Advancement in Sensing Technology: Establishes a new benchmark for non-contact monitoring using mmWave radar, expanding the state of the art in radar-based sensing and signal processing.

2.Cross-Domain Applications: Enables deployment across multiple sectors such as healthcare, sports science, security, human–computer interaction, and smart environments.

3.Enhanced User Comfort and Safety: Eliminates the need for wearables or direct contact, making monitoring less intrusive while maintaining accuracy and reliability.

4.Real-Time Data for Better Decision-Making: Provides continuous, reliable data streams that can be integrated into AI-driven analytics platforms for faster and more informed decisions.

5.Commercialisation and Innovation Potential: Opens opportunities for new product development, partnerships, and industry adoption in both consumer and professional markets.