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Found 10 papers, 1 papers with code
AdaptNet: Policy Adaptation for Physics-Based Character Control
The technique is shown to be effective for adapting existing physics-based controllers to a wide range of new styles for locomotion, new task targets, changes in character morphology and extensive changes in environment.
A Comprehensive Review of Data-Driven Co-Speech Gesture Generation
Finally, we identify key research challenges in gesture generation, including data availability and quality; producing human-like motion; grounding the gesture in the co-occurring speech in interaction with other speakers, and in the environment; performing gesture evaluation; and integration of gesture synthesis into applications.
Multimodal analysis of the predictability of hand-gesture properties
Embodied conversational agents benefit from being able to accompany their speech with gestures.
Speech2Properties2Gestures: Gesture-Property Prediction as a Tool for Generating Representational Gestures from Speech
We propose a new framework for gesture generation, aiming to allow data-driven approaches to produce more semantically rich gestures.
It's A Match! Gesture Generation Using Expressive Parameter Matching
Automatic gesture generation from speech generally relies on implicit modelling of the nondeterministic speech-gesture relationship and can result in averaged motion lacking defined form.
Gesture Generation
Human-Computer Interaction
Understanding the Predictability of Gesture Parameters from Speech and their Perceptual Importance
We determine a number of parameters characterizing gesture, such as speed and gesture size, and explore their relationship to the speech signal in a two-fold manner.
Storytelling Agents with Personality and Adaptivity
Our results show that subjects are able to perceive the intended variation in extraversion between different virtual agents, independently of the story they are telling and the gender of the agent.
A Verbal and Gestural Corpus of Story Retellings to an Expressive Embodied Virtual Character
We used a novel data collection method where an agent presented story components in installments, which the human would then retell to the agent.
A Corpus of Gesture-Annotated Dialogues for Monologue-to-Dialogue Generation from Personal Narratives
This paper presents a new corpus, the Story Dialogue with Gestures (SDG) corpus, consisting of 50 personal narratives regenerated as dialogues, complete with annotations of gesture placement and accompanying gesture forms.
A Multimodal Motion-Captured Corpus of Matched and Mismatched Extravert-Introvert Conversational Pairs
This paper presents a new corpus, the Personality Dyads Corpus, consisting of multimodal data for three conversations between three personality-matched, two-person dyads (a total of 9 separate dialogues).
