Radar-based Classification of Continuous Sequences of Human Activities

Kruse, Nicolas C.

Radar-based Classification of Continuous Sequences of Human Activities

Doctoral thesis (2025)

Authors

Nicolas C. Kruse Microwave Sensing, Signals & Systems

Contributors

Francesco Fioranelli Microwave Sensing, Signals & Systems (promotor)

Alexander G. Yarovoy Microwave Sensing, Signals & Systems (promotor)

Affiliation

Microwave Sensing, Signals & Systems

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Published Date

2025

Language

English

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Affiliation

Microwave Sensing, Signals & Systems

Abstract

Radar sensors are an emerging technology in the context of non-contact monitoring of vulnerable individuals. Radar-based solutions ensure end-user privacy, whilst providing medical professionals and caregivers with key information concerning the subject's well-being. This thesis proposes novel methods for the classification of sequential human activities using a network of radar sensors. Accurate classification of Activities of Daily Life (ADL) can enable for instance the detection of falls and wandering amongst elderly individuals, and can be employed for the recognition of aggressive or otherwise anomalous behaviour for those receiving mental health care.

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