Title
Perceptual Validation for the Generation of Expressive Movements from End-Effector Trajectories.
Abstract
Endowing animated virtual characters with emotionally expressive behaviors is paramount to improving the quality of the interactions between humans and virtual characters. Full-body motion, in particular, with its subtle kinematic variations, represents an effective way of conveying emotionally expressive content. However, before synthesizing expressive full-body movements, it is necessary to identify and understand what qualities of human motion are salient to the perception of emotions and how these qualities can be exploited to generate novel and equally expressive full-body movements. Based on previous studies, we argue that it is possible to perceive and generate expressive full-body movements from a limited set of joint trajectories, including end-effector trajectories and additional constraints such as pelvis and elbow trajectories. Hence, these selected trajectories define a significant and reduced motion space, which is adequate for the characterization of the expressive qualities of human motion and that is both suitable for the analysis and generation of emotionally expressive full-body movements. The purpose and main contribution of this work is the methodological framework we defined and used to assess the validity and applicability of the selected trajectories for the perception and generation of expressive full-body movements. This framework consists of the creation of a motion capture database of expressive theatrical movements, the development of a motion synthesis system based on trajectories re-played or re-sampled and inverse kinematics, and two perceptual studies.
Year
DOI
Venue
2018
10.1145/3150976
TiiS
Keywords
Field
DocType
Full-body movements, emotion perception, expressive motion analysis and synthesis, motion representation, perceptual validation, trajectories resampling
Computer science,Emotion perception,Robot end effector,Human–computer interaction,Perception,Distributed computing
Journal
Volume
Issue
ISSN
8
3
2160-6455
Citations 
PageRank 
References 
0
0.34
36
Authors
3
Name
Order
Citations
PageRank
Pamela Carreno172.50
Sylvie Gibet236752.50
Pierre-François Marteau36217.30