Multimodal machine learning (MML) is a tempting multidisciplinary research area where
heterogeneous data from multiple modalities and machine learning (ML) are combined to …

The unprecedented non-contact, non-invasive, and privacy-preserving nature of radar
sensors has enabled various healthcare applications, including vital sign monitoring, fall …

This article covers radar signal processing for sensing in the context of assisted living (AL).
This is presented through three example applications: human activity recognition (HAR) for …

The Internet of Things (IoT) is made up of interconnected devices for exchanging information
through sensors and actuators. One of the main physical sensors to understand the …

Healthcare system is rapidly transitioning from a traditional health-center and specialist-
focused model to a more scattered, patient-centric model. Medical Internet of Things (MIoT) …

Micro-Doppler-based continuous human motion recognition (HMR) has gained
considerable attention recently. However, existing methods mainly rely on individual …

In the context of assisted living, human activity recognition (HAR) is of increased importance
to maintain people at home living independently longer. Compared with directly using …

Due to the influence of information fusion in Industrial Internet of Things (IIoT) environments,
there are many problems, such as weak intelligent visual target positioning, disappearing …

Population ageing has become a severe problem worldwide. Human activity recognition
(HAR) can play an important role to provide the elders with in-time healthcare. With the …

This paper gives an overview of trends in radar sensing for assisted living. It focuses on
signal processing and classification, looking at conventional approaches, deep learning and …