Advances in machine learning and contactless sensors have given rise to ambient
intelligence—physical spaces that are sensitive and responsive to the presence of humans …

An aging population is increasingly prevalent in both developed and developing countries,
raising a series of social challenges and economic burdens. In particular, more elderly …

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 …

We propose a method for radar-based human activity classification by a neural network
taking both micro-Doppler and range signatures of the target as input. Temporally localized …

Radar is now widely used in human activity classification because of its contactless sensing
capabilities, robustness to light conditions and privacy preservation compared to plain …

In an era of digital transformation, there is an appetite for automating the monitoring process
of motions and actions by individuals who are part of a society increasingly getting older on …

Abstract I, Dr Julien Le Kernec, am currently a" Senior Lecturer"(equivalent to MCF in
France) at the University of Glasgow where I carry out teaching, research, and development …

An overview of AIoT studies related to eldercare can be found in Figure 1. The fundamental
motivation should come from scenarios in the daily life of the elderly, eg, falls and activity …