Development and evaluation of face robot to express various face shape

Kouki Hayashi*, Yoshitaka Onishi, Kazuko Itoh, Hiroyasu Miwa, Atsuo Takanishi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Citations (Scopus)

Abstract

Your Face is one of the most important factors in communicating with people. At present, the TV-phone, which can transmit Face information, is becoming a part of modern life. In order to transfer more realistic Face information, we propose the face shape robot WD-1 (Waseda-Docomo face robot No.1), which can express various face shapes by morphing an average mask (made of SEPTON) through 19 facial control-points. In this study, an average face mask is made in order to express a wide range of shapes with few control points. The position, number and movement range of the control-points are optimized. In addition, we introduce 3-DOFs drive units and control each control-point on a plane, not at a point. In order to evaluate the performance of WD-1, we measure the shape error between the faces of three subjects and the WD-1 equivalents. We elucidate the weaknesses of the current WD-1 implementation: a paucity of control points on the face line and wrinkling of the mask due to excessive local stress.

Original languageEnglish
Title of host publicationProceedings 2006 IEEE International Conference on Robotics and Automation, ICRA 2006
Pages481-486
Number of pages6
DOIs
Publication statusPublished - 2006
Event2006 IEEE International Conference on Robotics and Automation, ICRA 2006 - Orlando, FL, United States
Duration: 2006 May 152006 May 19

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
Volume2006
ISSN (Print)1050-4729

Conference

Conference2006 IEEE International Conference on Robotics and Automation, ICRA 2006
Country/TerritoryUnited States
CityOrlando, FL
Period06/5/1506/5/19

Keywords

  • Face robot
  • Face shape
  • Humanoid robot

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Control and Systems Engineering

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