Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …

In this work, we consider the problem of robust gaze estimation in natural environments.
Large camera-to-subject distances and high variations in head pose and eye gaze angles …

The concept of engagement is widely adopted in the human–robot interaction (HRI) field, as
a core social phenomenon in the interaction. Despite the wide usage of the term, the …

In this paper we introduce a novel dataset, the Multimodal Human-Human-Robot-
Interactions (MHHRI) dataset, with the aim of studying personality simultaneously in human …

Due to the advancement of camera hardware and machine learning techniques, video
object tracking for surveillance has received noticeable attention from the computer vision …

The ability to recognize the visual focus of attention (VFOA, ie what or whom a person is
looking at) of people is important for robots or conversational agents interacting with multiple …

We present the Human And Robot Multimodal Observations of Natural Interactive
Collaboration (HARMONIC) dataset. This is a large multimodal dataset of human …

Recent work in Human-Robot Interaction (HRI) has shown that robots can leverage implicit
communicative signals from users to understand how they are being perceived during …

While most research has focused on one-on-one interactions, Socially Interactive Agents
(SIAs) for multiparty interaction have received increasingly more atten tion in the past years …

Engagement recognition is a growing domain in paralinguistics evaluation due to its
importance in many human-computer and human-robot applications. Current requirements …