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A Workflow for Real-time Visualization and Data Analysis of Gesture using Motion Capture

Communication avec acte
Auteur
JÉGO, Jean-François
11141 Université Paris 8 Vincennes-Saint-Denis [UP8]
27997 Centre de Robotique [CAOR]
205177 Arts des Images et Art Contemporain [AIAC]
ccMEYRUEIS, Vincent
127758 Laboratoire Conception de Produits et Innovation [LCPI]
BOUTET, Dominique
300318 Université de Rouen Normandie [UNIROUEN]
489809 Dynamique du Langage In Situ [DYLIS]

URI
http://hdl.handle.net/10985/18075
DOI
10.1145/3347122.3359598
Date
2019

Résumé

In this paper, we investigate new ways to understand and to analyze human gesture in a research context applied on co-verbal gesture across language. The research project focuses on the quality of the movement and consider the gesture “pulse of effort.“ We propose a workflow for real-time gesture analysis to visualize gesture kinematics features (Velocity, Acceleration, Jerk) from heterogeneous data (Video, Motion Capture and Gesture Annotations) at the same time base. The tools designed here provide immersive and interactive explorations of data: users can test hypotheses and embody gesture visualization and descriptors adopting different Frames of Reference using augmented reality. We have conducted an evaluation protocol in the field of linguistics that compares 496 annotated gestures to benchmark the workflow.

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