Multimodal sensing for assisted living using radar

Book Chapter (2020)
Author(s)

Aman Shrestha (University of Glasgow)

Haobo Li (University of Glasgow)

F. Fioranelli (TU Delft - Microwave Sensing, Signals & Systems)

Julien Le Kernec (University of Glasgow, University of Cergy-Pontoise, University of Electronic Science and Technology of China)

Research Group
Microwave Sensing, Signals & Systems
DOI related publication
https://doi.org/10.1049/sbra531e_ch6
More Info
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Publication Year
2020
Language
English
Research Group
Microwave Sensing, Signals & Systems
Pages (from-to)
181-215
ISBN (print)
9781785619335
ISBN (electronic)
9781785619342

Abstract

This chapter will explore the different sensor and fusion topologies, using active radar sensing in conjunction with other sensing technologies as support for assisted living and healthcare applications. Initially, the sensors and their outputs will be described, with specifics of signal processing of the different sensors and the machine learning for classification detailed. The results of applying these methods to the assisted living scenario will then be presented. This chapter will give insight into activity classification with radar and additional sensing technologies, in particular, wearable inertial and magnetic sensors, focusing on the key information fusion approaches and main improvements using experimental data as validation.

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