Wearable Augmented Reality (AR) has attracted considerable attention in recent years, as
evidenced by the growing number of research publications and industry investments. With …

We present a generative adversarial network to synthesize 3D pose sequences of co-
speech upper-body gestures with appropriate affective expressions. Our network consists of …

We present Text2Gestures, a transformer-based learning method to interactively generate
emotive full-body gestures for virtual agents aligned with natural language text inputs. Our …

Virtual agents are typical assistance tools for navigation and interaction in Virtual Reality
(VR) tour, training, education, etc. It has been demonstrated that the gaits, gestures, gazes …

Perceiving human emotions is crucial in the realm of affective computing. As a nonverbal
biological feature, gait plays a significant role in this field, owing to its resistance to …

As a non-verbal biometric method that can be perceived emotion at a distance, gait has
broad applications in affective computing. To perceive emotions from gaits, existing methods …

Humans are known to construct cognitive maps of their everyday surroundings using a
variety of perceptual inputs. As such, when a human is asked for directions to a particular …

Human-centered intelligent human–robot interaction can transcend the traditional keyboard
and mouse and have the capacity to understand human communicative intentions by …

Dynamic virtual representations of the human being can communicate a broad range of
affective states through body movements, thus effectively studying emotion perception …

Since the emergence of COVID-19 in late 2019, there has been a significant disturbance in
human-to-human interaction that has changed the way we conduct user studies in the field …