Human activity recognition systems are developed as part of a framework to enable
continuous monitoring of human behaviours in the area of ambient assisted living, sports …

Deep Learning plays an increasingly important role in device-free WiFi Sensing for human
activity recognition (HAR). Despite its strong potential, significant challenges exist and are …

Automatic interpretation of human actions from realistic videos attracts increasing research
attention owing to its growing demand in real-world deployments such as biometrics …

Computer vision techniques capable of detecting human behavior are gaining interest.
Several researchers have provided their review on behavior detection, however most of the …

Human activity recognition (HAR) is a very challenging problem that requires identifying an
activity performed by a single individual or a group of people observed from spatiotemporal …

Most image classification methods are designed to either boost the classification accuracies
with abundant supervision, or cope with the shortage of supervision information. This is often …

Occupancy detection and estimation are two of the main areas of research in smart
buildings. This is due to its significant effect in the deployment of energy saving buildings …

Signal acquisition from mechanical systems working in faulty conditions is normally
expensive. As a consequence, supervised learning-based approaches are hardly …

Driver model adaptation (DMA) plays an essential role for driving behaviour modelling when
there is a lack of sufficient data for training the new model. A new data-driven DMA method …

Target detection and recognition are widely used in civilian and military fields to identify
humans, vehicles and weapons hidden in foliage. To adapt to changes in the forest …