Cloning with Gesture Expressivity | Style and emotion of a real human is determined

Manoj Kumar Rajagopal (u. a.)

ISBN 10: 3659203998 / ISBN 13: 9783659203992

Published by LAP LAMBERT Academic Publishing, 2012

About this Item

Cloning with Gesture Expressivity | Style and emotion of a real human is determined | Manoj Kumar Rajagopal (u. a.) | Taschenbuch | 108 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659203992 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 106296745

Bibliographic Details

• Title: Cloning with Gesture Expressivity | Style and emotion of a real human is determined
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 3659203998
• ISBN 13: 9783659203992
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 7D millimeters 220 millimeters width by 150 millimeters height by 7 millimeters depth
• Weight: 179 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Virtual environments allow human beings to be represented by virtual humans or avatars. Users can share a sense of virtual presence is the avatar looks like the real human it represents. This classically involves turning the avatar into a clone with the real human’s appearance and voice. However, the possibility of cloning the gesture expressivity of a real person has received little attention so far. Gesture expressivity combines the style and mood of a person. Expressivity parameters have been defined in earlier works for animating embodied conversational agents. In this work, we focus on expressivity in wrist motion. First, we propose algorithms to estimate three expressivity parameters from captured wrist 3D trajectories: repetition, spatial extent and temporal extent. Then, we conducted perceptual study through a user survey the relevance of expressivity for recognizing individual human. We have animated a virtual agent using the expressivity estimated from individual humans, and users have been asked whether they can recognize the individual human behind each animation.

About the Author

Dr. Manoj kumar Rajagopal has obtained his PhD degree in computer science in 2012.His area of interests are Human-Computer Interaction, Computer Vision, Image processing and Augmented Reality. His work has been published in reputed International Conferences. He is member of different professional bodies.