Radar‐based human activity recognition is considered as a competitive solution for the
elderly care health monitoring problem, compared to alternative techniques such as …

In human activity recognition (HAR) based on radar, significant research exists on statistical
features extracted from the spectrogram (μD), whereas the research which considers other …

The importance of radar-based human activity recognition has increased significantly over
the last two decades in safety and smart surveillance applications due to its superiority in …

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 …

The accurate classification of activity patterns based on radar signatures is still an open
problem and is a key to detect anomalous behavior for security and health applications. This …

As the number of older adults increases worldwide, new paradigms for indoor activity
monitoring are required to keep people living at home independently longer. Radar-based …

Radar sensors offer a promising and effective sensing modality for human activity
classification. Human activity classification enables several smart homes applications for …

Machine Learning (ML) methods have become state of the art in radar signal processing,
particularly for classification tasks (eg, of different human activities). Radar classification can …

Radar-based human activity recognition (HAR) has great potential in many fields, such as
surveillance, smart homes, and human-computer interaction. Complex deep neural …

Indoor human activity recognition has been extensively investigated. However, most of the
solutions require sensors eg 9-axis IMU be equipped on human body or use image …