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Project

Evaluation of compact & low-cost sensing for rapid for bio-medical & consumer healthcare using processing & machine learning techniques

University of Strathclyde

Project Type: EngD

Supervisor: Dr David Li

Website: http://www.st.com

Project Abstract

This work will use commercially available optical intensity and time of flight sensors to investigate a range of possibilities of rapid & real-time sensing in biomedical, consumer healthcare & wellbeing applications through the development of efficient processing algorithms and machine learning techniques. 

Full project details available at https://bit.ly/3isY295 

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Home » Evaluation of compact & low-cost sensing for rapid for bio-medical & consumer healthcare using processing & machine learning techniques

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