End-effectors trajectories: an efficient low-dimensional characterization of affective-expressive body motions

Pamela Carreno-Medrano, Sylvie Gibet, Pierre Francois Marteau

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

4 Citations (Scopus)

Abstract

Virtual characters capable of showing emotional content are considered as more believable and engaging. However, in spite of the numerous psychological studies and machine learning applications trying to decode the most salient features in the expression and perception of affect, there is still no common understanding about how affect is conveyed through body motions. Based on findings reported by the psychology research community and quantitative results obtained in the computer animation domain during the last years, we propose to represent affective bodily movement through a low-dimensional parameterization consisting of the spatio-temporal trajectories of eight main joints in the human body (hands, head, feet, elbows and pelvis). Using a combined evaluation protocol, we show that this low-dimensional parameterization and the features derived from it are a compact and sufficient representation of affective motions that can be used for automatic recognition of affect and the generation of new affective-expressive motions.

Original languageEnglish
Title of host publication2015 International Conference on Affective Computing and Intelligent Interaction (ACII 2015)
EditorsJonathon Gratch, Björn Schuller
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages435-441
Number of pages7
ISBN (Electronic)9781479999538, 9781479999521
ISBN (Print)9781479999545
DOIs
Publication statusPublished - 2015
Externally publishedYes
EventInternational Conference on Affective Computing and Intelligent Interaction 2015 - Xi'an, China
Duration: 21 Sep 201524 Sep 2015
https://web.archive.org/web/20181203101746/http://www.acii2015.org/

Publication series

Name2015 International Conference on Affective Computing and Intelligent Interaction, ACII 2015
PublisherInstitute of Electrical and Electronics Engineers
ISSN (Electronic)2156-8111

Conference

ConferenceInternational Conference on Affective Computing and Intelligent Interaction 2015
Abbreviated titleACII 2015
CountryChina
CityXi'an
Period21/09/1524/09/15
Internet address

Keywords

  • automatic affect recognition
  • body movement
  • inverse kinematics
  • low-dimensional representation
  • motion synthesis

Cite this

Carreno-Medrano, P., Gibet, S., & Marteau, P. F. (2015). End-effectors trajectories: an efficient low-dimensional characterization of affective-expressive body motions. In J. Gratch, & B. Schuller (Eds.), 2015 International Conference on Affective Computing and Intelligent Interaction (ACII 2015) (pp. 435-441). (2015 International Conference on Affective Computing and Intelligent Interaction, ACII 2015). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ACII.2015.7344607