Modelling, predicting and analysing driver behaviours are essential to advanced driver
assistance systems (ADAS) and the comprehensive understanding of complex driving …

Action learning is a research area that aims to recognize the action category of each frame
in the video. Context information is crucial for learning actions, but most existing methods …

Human activity anticipation is a pillar of new interactive multimedia technologies. It enables
better human-computer interaction and creative sensory experience in all types of virtual …

Semisupervised human activity recognition (SemiHAR) has attracted attention in recent
years from various domains, such as digital health and ambient intelligence. Currently, it still …

Millimeter wave radar is gaining traction recently for enabling privacy-preserving human
sensing. However, the lack of large-scale, dynamic radar datasets impedes progress in …

Multi-state driver monitoring is a key technique in building human-centric intelligent driving
systems. This paper presents an integrated visual-based multi-state driver monitoring …

Despite the potential of vision-based personal monitoring (eg, healthcare), private data
leakage concerns hinder its wide deployment in personal spaces (eg, bedrooms). A body of …

The concept of the Internet-of-Batteries (IoB) has recently emerged and offers great potential
for the control and optimization of battery utilization in electric vehicles (EV). This concept …