Human state recognition is a critical topic with pervasive and important applications in
human-machine systems. Multi-modal fusion, which entails integrating metrics from various …

Brain-robot interaction (BRI) empowers individuals to control (semi-) automated machines
through their brain activity, either passively or actively. In the past decade, BRI systems have …

Objective. Brain–computer interface (BCI) technology is poised to play a prominent role in
modern work environments, especially a collaborative environment where humans and …

Detecting Human-Object Interactions (HOI) presents a formidable challenge, necessitating
the discernment of intricate, high-level relationships between humans and objects. Recent …

Electrooculography (EOG) based human-computer interface (HCI) systems have wide range
of applications due to their usability in inferring user's intention through eye movements …

Reaching a consensus on the team plans is vital to human-AI coordination. Although
previous studies provide approaches through communications in various ways, it could still …

Detecting the human operator's cognitive state is paramount in settings wherein maintaining
optimal workload is necessary for task performance. Blink rate is an established metric of …

One of the key factors that impact the efficiency of human operators in complex, interactive
work environments is the level of mental workload. When an operator is overwhelmed with …

Robotic systems for physical Human-Robot Collaboration (pHRC) are often controlled using
control systems based on the admittance or impedance of the system. The interaction forces …