Laban Movement Analysis Using Kinect

Laban Movement Analysis (LMA) is a method for describing, interpreting and documenting all varieties of human movement. Analyzing movements using LMA is advantageous over kinematic description, as it captures their qualitative aspects in addition to the quantitative. Thus, in recent years, LMA is increasingly becoming the preferred method for movement analysis. In this study we developed a Machine Learning (ML) method for recognizing Laban qualities from a markerless Motion Capture (MOCAP) camera Microsoft's Kinect. We believe that we are the rst succeeded identifying LMA with a ubiquitous sensor. There no papers similar enough to ours for a performance comparison, but our work obtained a recall and precision rate of about 60% averaged over the qualities, result that is a solid foundation for a future work, and even a success by itself.

[1]  Norman I. Badler,et al.  The EMOTE model for effort and shape , 2000, SIGGRAPH.

[2]  Mehdi Ammi,et al.  Perception of congruent facial and haptic expressions of emotions , 2014, SAP.

[3]  Sergio M Pellis,et al.  The development of "roughness" in the play fighting of rats: a Laban Movement Analysis perspective. , 2003, Developmental psychobiology.

[4]  Radoslaw Niewiadomski,et al.  Multimodal Complex Emotions: Gesture Expressivity and Blended Facial Expressions , 2006, Int. J. Humanoid Robotics.

[5]  Kevin G. Munhall,et al.  Something in the way she moves , 2004, Trends in Cognitive Sciences.

[6]  Antonio Camurri,et al.  Application of multimedia techniques in the physical rehabilitation of Parkinson's patients , 2003, Comput. Animat. Virtual Worlds.

[7]  J. Rett,et al.  Human-robot interface with anticipatory characteristics based on Laban Movement Analysis and Bayesian models , 2007, 2007 IEEE 10th International Conference on Rehabilitation Robotics.

[8]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[9]  R. Laban,et al.  The mastery of movement , 1950 .

[10]  Dana Kulic,et al.  Laban Effort and Shape Analysis of Affective Hand and Arm Movements , 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

[11]  Ran Gilad-Bachrach,et al.  Full body gait analysis with Kinect , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[12]  Andreas Aristidou,et al.  Emotion Recognition for Exergames using Laban Movement Analysis , 2013, MIG.

[13]  S. Langenecker,et al.  Emotion regulation through execution, observation, and imagery of emotional movements , 2013, Brain and Cognition.

[14]  Emilia I. Barakova,et al.  Communicating emotions and mental states to robots in a real time parallel framework using Laban movement analysis , 2010, Robotics Auton. Syst..

[15]  H. Zou,et al.  Regularization and variable selection via the elastic net , 2005 .

[16]  Megumi Masuda,et al.  Motion rendering system for emotion expression of human form robots based on Laban movement analysis , 2010, 19th International Symposium in Robot and Human Interactive Communication.

[17]  G.W.M. Rauterberg,et al.  Online feedback system for public speakers , 2012, 2012 IEEE Symposium on E-Learning, E-Management and E-Services.

[18]  Ed Groff,et al.  Laban Movement Analysis: Charting the Ineffable Domain of human Movement , 1995 .

[19]  Myung Jin Chung,et al.  LMA based emotional motion representation using RGB-D camera , 2013, 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI).