Non-intrusive human activity sensing with radio signals. This project aims to develop a theoretical framework for sensing and detecting human activities based on wireless radio signals. The framework advances the state-of-the-art by discovering the fundamental theory, and defining a set of principles to guide practical system design. The framework will be validated and its scientific merit demonstrated through building several applications such as contactless human activity detection and vital s ....Non-intrusive human activity sensing with radio signals. This project aims to develop a theoretical framework for sensing and detecting human activities based on wireless radio signals. The framework advances the state-of-the-art by discovering the fundamental theory, and defining a set of principles to guide practical system design. The framework will be validated and its scientific merit demonstrated through building several applications such as contactless human activity detection and vital signs monitoring. This should benefit existing hospital and clinical patient services and promote home-care and self-care services at nationwide.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100479
Funder
Australian Research Council
Funding Amount
$427,116.00
Summary
A Unified Framework to Rapidly Fabricate Individualised Activity Sensors. This proposal aims to develop a unified computational framework which enables non-expert users to co-design and fabricate specialised physical activity sensors to address individualised sensing problems in applications such as rehabilitation, age-care and sports. Specifically, we will develop an analytical framework to classify complex sensing problems into fabricable primitive classes, namely i) conditional – limits of ac ....A Unified Framework to Rapidly Fabricate Individualised Activity Sensors. This proposal aims to develop a unified computational framework which enables non-expert users to co-design and fabricate specialised physical activity sensors to address individualised sensing problems in applications such as rehabilitation, age-care and sports. Specifically, we will develop an analytical framework to classify complex sensing problems into fabricable primitive classes, namely i) conditional – limits of activity, ii) differential – frequency of activity and iii) integrational – cumulative activity. And a co-design interface to synthesize them into complex activity sensors to fit individualised needs. Finally, we will evaluate the framework by deploying the created sensors in real-world settings and gathering data.Read moreRead less