Eye-tracking can help decode the intricate control mechanism in human performance. In
healthcare, physicians-in-training require extensive practice to improve their healthcare …

In this article, we propose a radar-based human action recognition system, capable of
recognizing actions in real time. Range-Doppler maps extracted from a low-cost frequency …

Background: Managing exercise in type 1 diabetes is challenging, in part, because different
types of exercises can have diverging effects on glycemia. The aim of this work was to …

Internet of things (IoT) is transforming the way we imagine healthcare with ubiquitous
connectivity, faster response and deeper personalized insights using large amounts of data …

Silent speech interfaces (SSIs) have been developed as new non-acoustic communication
channels for people with speech impairment. Various modalities have been employed to …

In the defence and security domain, camera systems are widely used for surveillance. The
major advantage of using camera systems for surveillance is that they provide high …

In this letter, a simple data augmentation method for micro-Doppler radar-based human
activity recognition (HAR) is proposed. The proposed augmentation method can improve the …

In this article, we consider a high-accuracy and low-complexity method for recognizing
human activities behind wall. As the amount of information conveyed by data representation …

Predictive maintenance is crucial for reducing costs in the industry. With the widespread use
of internet-connected sensors in industrial equipment, state-of-the-art predictive …

Radar systems can be used to perform human activity recognition in a privacy preserving
manner. Deep Neural Networks are able to effectively process the complex radar data and …