Gestures that accompany speech are an essential part of natural and efficient embodied
human communication. The automatic generation of such co‐speech gestures is a long …

Diffusion models have experienced a surge of interest as highly expressive yet efficiently
trainable probabilistic models. We show that these models are an excellent fit for …

The analysis of the ubiquitous human-human interactions is pivotal for understanding
humans as social beings. Existing human-human interaction datasets typically suffer from …

Automatic emotion recognition from the analysis of body movement has tremendous
potential to revolutionize virtual reality, robotics, behavior modeling, and biometric identity …

Consistently exhibited personalities are crucial elements of realistic, engaging, and behavior-
rich conversational virtual agents. Both nonverbal and verbal cues help convey these …

Applications such as virtual tutors, games, and natural interfaces increasingly require
animated characters to take on social roles while interacting with humans. The effectiveness …

The portrayed personality of virtual characters and agents is understood to influence how we
perceive and engage with digital applications. Understanding how the features of speech …

In computer animation, the creation of believable and engaging virtual characters has been
a long-lasting endeavour. While researchers investigated several aspects of character …

Crowd path planning aims to find the optimal path between the source and destination for
multiple agents in crowd scenes. The advent of parallel theory and digital twin technologies …

Due to the non-invasiveness and high precision of electroencephalography (EEG), the
combination of EEG and artificial intelligence (AI) is often used for emotion recognition …