In the current industrial context, the importance of assessing and improving workers' health
conditions is widely recognised. Both physical and psycho-social factors contribute to …

In the last decades, given the necessity of assisting fragile citizens, of which elderly
represent a significant portion, a considerable research effort has been devoted to the use of …

Automatic emotion recognition has become a trending research topic in the past decade.
While works based on facial expressions or speech abound, recognizing affect from body …

Emotion detection and recognition from text is a recent essential research area in Natural
Language Processing (NLP) which may reveal some valuable input to a variety of purposes …

Human character animation is often critical in entertainment content production, including
video games, virtual reality or fiction films. To this end, deep neural networks drive most …

Despite the increase in awareness and support for mental health, college students' mental
health is reported to decline every year in many countries. Several interactive technologies …

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 …

In conjunction with what is often called the industry 4.0, the new machine age, or the rise of
the robots, the authors of this paper have each experienced the following phenomenon. At …

The most prominent tasks in emotion analysis are to assign emotions to texts and to
understand how emotions manifest in language. An important observation for natural …