Despite the relatively young age of Human–Robot Interaction (HRI) as a field, there is a
large volume of research on advances in robot hardware, software and behavior. The goal …

For social robots to effectively engage in human–robot interaction (HRI), they need to be
able to interpret human affective cues and to respond appropriately via display of their own …

In this paper, a novel approach for recognition of walking activities and gait events with
wearable sensors is presented. This approach, called adaptive Bayesian inference system …

Pedestrian regulation can prevent crowd accidents and improve crowd safety in densely
populated areas. Recent studies use mobile robots to regulate pedestrian flows for desired …

Human–robot-collaboration requires robot to proactively and intelligently recognize the
intention of human operator. Despite deep learning approaches have achieved certain …

Endowing ubiquitous robots with cognitive capabilities for recognizing emotions, sentiments,
affects, and moods of humans in their context is an important challenge, which requires …

In addition to speech, nonverbal behaviors of the human like facial expressions and body
languages can also express emotions in socializing. It is expected to be known whether …

Bodily postures are essential to correctly comprehend others' emotions and intentions.
Nonetheless, very few studies focused on the pattern of eye movements implicated in the …

There has been a growing interest in machine-based recognition of emotions from body gait
and its combination with other modalities. In order to highlight the major trends and state of …

To effectively communicate with people, social robots must be capable of detecting,
interpreting, and responding to human affect during human–robot interactions (HRIs). In …