abstract

LMA based emotional motion representation using RGB-D camera

Authors:

Myung Jin ChungAuthors Info & Claims

HRI '13: Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction

Pages 163 - 164

Published: 03 March 2013 Publication History

Get Access

Abstract

In this paper, emotional motion representation is proposed for Human Robot Interaction: HRI. The proposed representation is based on "Laban Movement Analysis: LMA" and trajectories of 3-dimensional whole body joint positions using an RGB-D camera such as a "Microsoft Kinect". The experimental results show that the proposed method distinguishes two types of human emotional motion well.

References

[1]

Z. Zeng, M. Pantic, G. I. Roisman, and T. S. Huang, "A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions," IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 31, No. 1, 2009

Digital Library

Google Scholar

[2]

R. Poppe, "A survey on vision-based human action recognition," Image and Vision Computing, Vol 28, Issue 6, pp. 976--990, 2010

Digital Library

Google Scholar

[3]

J. K. Aggarwal, and M. S. Ryoo, "Human Activity Analysis: A Review", ACM Computing Survey, Vol. 43, No. 3, 2011

Digital Library

Google Scholar

[4]

J. Shotton, A. Fitzgibbon, M. Cook, T. Sharp, M. Finocchio, R. Moore, A. Kipman, and A. Blake, "Real-Time Human Pose Recognition in Parts from Single Depth Images," 24th IEEE Conference on Computer Vision and Pattern Recognition, Colorado Springs, USA, June 20--25, 2011

Digital Library

Google Scholar

[5]

R. Laban, "Principles of Dance and Movement Notation," Macdonald & Evans, New York, 1956

Google Scholar

[6]

D. Chi, M. Costa, L. Zhao and N. I. Badler, "The EMOTE Model for Effort and Shape," Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques, pp. 173--182, 2000

Digital Library

Google Scholar

[7]

M. Masuda and S. Kato, "Motion Rendering System for Emotion Expression of Human Form Robots Based on Laban Movement Anlaysis," 19th IEEE International Symposium on Robot and Human Interactive Communication, Italy, 2010.

Google Scholar

[8]

J. Rett and J. Dias, "Bayesian reasoning for Laban Movement Analysis used in human-machine interaction," International Journal of Reasoning-based Intelligent Systems, Vol. 2, No. 1, pp. 13--35, 2010

Crossref

Google Scholar

Cited By

View all

Ajili IMallem MDidier J(2017)Robust human action recognition system using Laban Movement AnalysisProcedia Computer Science10.1016/j.procs.2017.08.168112:C(554-563)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.1016/j.procs.2017.08.168
Senecal SCuel LAristidou AMagnenat-Thalmann N(2016)Continuous body emotion recognition system during theater performancesComputer Animation and Virtual Worlds10.1002/cav.171427:3-4(311-320)Online publication date: 1-May-2016
https://dl.acm.org/doi/10.1002/cav.1714
Ran BTal SRachelle TKaren SAssaf SAlaoui SPasquier PSchiphorst TFrançoise JBevilacqua F(2015)Multitask learning for Laban movement analysisProceedings of the 2nd International Workshop on Movement and Computing10.1145/2790994.2791009(37-44)Online publication date: 14-Aug-2015
https://dl.acm.org/doi/10.1145/2790994.2791009

Index Terms

LMA based emotional motion representation using RGB-D camera
1. Human-centered computing
  1. Human computer interaction (HCI)

Recommendations

Motion indexing of different emotional states using LMA components
SA '13: SIGGRAPH Asia 2013 Technical Briefs

Recently, there has been an increasing use of pre-recorded motion capture data, making motion indexing and classification essential for animating virtual characters and synthesising different actions. In this paper, we use a variety of features that ...
Communicating emotions and mental states to robots in a real time parallel framework using Laban movement analysis

This paper presents a parallel real time framework for emotions and mental states extraction and recognition from video fragments of human movements. In the experimental setup human hands are tracked by evaluation of moving skin-colored objects. The ...
Eye-Model-Based Gaze Estimation by RGB-D Camera
CVPRW '14: Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops

This paper proposes a method of eye-model-based gaze estimation by RGB-D camera, Kinect sensor. Different from other methods, our method sets up a model to calibrate the eyeball center by gazing at a target in 3D space, not predefined. And then by ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

HRI '13: Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction

March 2013

452 pages

ISBN:9781467330558

General Chairs:
Hideaki Kuzuoka
University of Tsukuba, Japan
,
Vanessa Evers
University of Twente, The Netherlands
,
Program Chairs:
Michita Imai
Keio University, Japan
,
Jodi Forlizzi
Carnegie Mellon University, USA

In-Cooperation

AAAI: American Association for Artificial Intelligence
Human Factors & Ergonomics Soc: Human Factors & Ergonomics Soc

Publisher

IEEE Press

Publication History

Published: 03 March 2013

Check for updates

Author Tags

Qualifiers

Abstract

Conference

HRI'13

Sponsor:

HRI'13: ACM/IEEE International Conference on Human-Robot Interaction

March 3 - 6, 2013

Tokyo, Japan

Acceptance Rates

Overall Acceptance Rate 268 of 1,124 submissions, 24%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
175
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 29 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Ajili IMallem MDidier J(2017)Robust human action recognition system using Laban Movement AnalysisProcedia Computer Science10.1016/j.procs.2017.08.168112:C(554-563)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.1016/j.procs.2017.08.168
Senecal SCuel LAristidou AMagnenat-Thalmann N(2016)Continuous body emotion recognition system during theater performancesComputer Animation and Virtual Worlds10.1002/cav.171427:3-4(311-320)Online publication date: 1-May-2016
https://dl.acm.org/doi/10.1002/cav.1714
Ran BTal SRachelle TKaren SAssaf SAlaoui SPasquier PSchiphorst TFrançoise JBevilacqua F(2015)Multitask learning for Laban movement analysisProceedings of the 2nd International Workshop on Movement and Computing10.1145/2790994.2791009(37-44)Online publication date: 14-Aug-2015
https://dl.acm.org/doi/10.1145/2790994.2791009

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Motion indexing of different emotional states using LMA components

Communicating emotions and mental states to robots in a real time parallel framework using Laban movement analysis

Eye-Model-Based Gaze Estimation by RGB-D Camera