Computing Research Seminar Series: Dr David Harris-Birtill, University of St Andrews

A fascinating talk from Dr David Harris-Birtill on automated remote pulse oximetry, and object recognition using radar and machine learning.

This talk discusses two projects: measuring people's vital signs at a distance using cameras (automated remote pulse oximetry), and object recognition using radar and machine learning (RadarCat and AquaCat).

The remote pulse oximetry system measures people’s vital signs - their oxygen level and heart rate, at a distance through camera-based technology, replacing the need for clips, automatically measuring multiple people at once in real-time, providing clinicians with more efficient triage and routine monitoring. This works by analysing people’s faces (cheeks, foreheads and lips) using colour, depth and infrared images.

The RadarCat/Aquacat project uses miniaturised radar (with a chip the size of a fingernail) and supervised machine learning to recognise solid objects, powders and liquids even through containers, this has many uses from smart home appliances to security and manufacturing.

Dr David Harris-Birtill is a Lecturer in Computer Science at the University of St Andrews, UK. With a background in Medical Physics, including a PhD in Physics from the Institute of Cancer Research, David leads research projects in the fields of machine learning, medical imaging, and human-computer interaction.

Hoseted by Professor Emanuele Trucco

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