Laban Movement Analysis (LMA), developed in the
dance community over the past seventy years, is an effective method
for observing, describing, notating, and interpreting human
movement to enhance communication and expression in everyday
and professional life. Many applications that use motion capture data
might be significantly leveraged if the Laban qualities will be
recognized automatically. This paper presents an automated
recognition method of Laban qualities from motion capture skeletal
recordings and it is demonstrated on the output of Microsoft’s Kinect
V2 sensor.
[1] Rudolf Laban and Lisa Ullmann. The Mastery of Movement. 1971.
[2] Groff, E. (1995). Laban movement analysis: Charting the ineffable
domain of human movement. Journal of Physical Education, Recreation
& Dance, 66(2), 27-27.
[3] Megumi Masuda and Shohei Kato. Motion rendering system for emotion
expression of human form robots based on Laban movement analysis. In
RO-MAN, 2010, pages 324–329. IEEE, 2010.
[4] Jacqyln A Levy and Marshall P Duke. The use of laban movement
analysis in the study of personality, emotional state and movement style:
An exploratory investigation of the veridicality of” body language”.
Individual Differences Research, 1(1), 2003.
[5] Antonio Camurri, Barbara Mazzarino, Gualtiero Volpe, Pietro Morasso,
Federica Priano, and Cristina Re. Application of multimedia techniques
in the physical rehabilitation of Parkinson’s patients. The Journal of
Visualization and Computer Animation, 14(5):269–278, 2003.
[6] Anh-Tuan Nguyen, Wei Chen, and Matthias Rauterberg. Online
feedback system for public speakers. In IEEE Symp. e-Learning, e-
Management and e-Services, 2012.
[7] Haris Zacharatos, Christos Gatzoulis, Yiorgos Chrysanthou, and
Andreas Aristidou. Emotion recognition for exergames using Laban movement analysis. In Proceedings of the Motion on Games, pages 39–
44. ACM, 2013.
[8] Private consultation with Shafir Tal and Tsachor Rachelle.
[9] Diane Chi, Monica Costa, Liwei Zhao, and Norman Badler. The emote
model for effort and shape. In Proceedings of the 27th annual conference
on Computer graphics and interactive techniques, pages 173–182. ACM
Press/Addison-Wesley Publishing Co., 2000.
[10] Jean-Claude Martin, Radoslaw Niewiadomski, Laurence Devillers,
Stephanie Buisine, and Catherine Pelachaud. Multimodal complex
emotions: Gesture expressivity and blended facial expressions.
International Journal of Humanoid Robotics, 3(03):269–291, 2006.
[11] Jorg Rett and Jorge Dias. Human-robot interface with anticipatory
characteristics based on Laban movement analysis and bayesian models.
In Rehabilitation Robotics. ICORR, IEEE 10th International Conference
on, pages 257–268. IEEE, 2007.
[12] Tino Lourens, Roos Van Berkel, and Emilia Barakova. Communicating
emotions and mental states to robots in a real time parallel framework
using Laban movement analysis. Robotics and Autonomous Systems,
58(12):1256–1265, 2010.
[13] Ali-Akbar Samadani, Sarahjane Burton, Rob Gorbet, and Dana Kulic.
Laban effort and shape analysis of affective hand and arm movements.
In Affective Computing and Intelligent Interaction (ACII), 2013
Humaine Association Conference on, pages 343–348. IEEE, 2013.
[14] Moshe Gabel, Ran Gilad-Bachrach, Erin Renshaw, and Assaf Schuster.
Full body gait analysis with kinect. In Engineering in Medicine and
Biology Society (EMBC), 2012 Annual International Conference of the
IEEE, pages 1964–1967. IEEE, 2012.
[15] Woo Hyun Kim, Jeong Woo Park, Won Hyong Lee, Hui Sung Lee, and
Myung Jin Chung. Lma based emotional motion representation using
rgb-d camera. In Proceedings of the 8th ACM/IEEE international
conference on Human-robot interaction, pages 163–164. IEEE Press,
2013.
[1] Rudolf Laban and Lisa Ullmann. The Mastery of Movement. 1971.
[2] Groff, E. (1995). Laban movement analysis: Charting the ineffable
domain of human movement. Journal of Physical Education, Recreation
& Dance, 66(2), 27-27.
[3] Megumi Masuda and Shohei Kato. Motion rendering system for emotion
expression of human form robots based on Laban movement analysis. In
RO-MAN, 2010, pages 324–329. IEEE, 2010.
[4] Jacqyln A Levy and Marshall P Duke. The use of laban movement
analysis in the study of personality, emotional state and movement style:
An exploratory investigation of the veridicality of” body language”.
Individual Differences Research, 1(1), 2003.
[5] Antonio Camurri, Barbara Mazzarino, Gualtiero Volpe, Pietro Morasso,
Federica Priano, and Cristina Re. Application of multimedia techniques
in the physical rehabilitation of Parkinson’s patients. The Journal of
Visualization and Computer Animation, 14(5):269–278, 2003.
[6] Anh-Tuan Nguyen, Wei Chen, and Matthias Rauterberg. Online
feedback system for public speakers. In IEEE Symp. e-Learning, e-
Management and e-Services, 2012.
[7] Haris Zacharatos, Christos Gatzoulis, Yiorgos Chrysanthou, and
Andreas Aristidou. Emotion recognition for exergames using Laban movement analysis. In Proceedings of the Motion on Games, pages 39–
44. ACM, 2013.
[8] Private consultation with Shafir Tal and Tsachor Rachelle.
[9] Diane Chi, Monica Costa, Liwei Zhao, and Norman Badler. The emote
model for effort and shape. In Proceedings of the 27th annual conference
on Computer graphics and interactive techniques, pages 173–182. ACM
Press/Addison-Wesley Publishing Co., 2000.
[10] Jean-Claude Martin, Radoslaw Niewiadomski, Laurence Devillers,
Stephanie Buisine, and Catherine Pelachaud. Multimodal complex
emotions: Gesture expressivity and blended facial expressions.
International Journal of Humanoid Robotics, 3(03):269–291, 2006.
[11] Jorg Rett and Jorge Dias. Human-robot interface with anticipatory
characteristics based on Laban movement analysis and bayesian models.
In Rehabilitation Robotics. ICORR, IEEE 10th International Conference
on, pages 257–268. IEEE, 2007.
[12] Tino Lourens, Roos Van Berkel, and Emilia Barakova. Communicating
emotions and mental states to robots in a real time parallel framework
using Laban movement analysis. Robotics and Autonomous Systems,
58(12):1256–1265, 2010.
[13] Ali-Akbar Samadani, Sarahjane Burton, Rob Gorbet, and Dana Kulic.
Laban effort and shape analysis of affective hand and arm movements.
In Affective Computing and Intelligent Interaction (ACII), 2013
Humaine Association Conference on, pages 343–348. IEEE, 2013.
[14] Moshe Gabel, Ran Gilad-Bachrach, Erin Renshaw, and Assaf Schuster.
Full body gait analysis with kinect. In Engineering in Medicine and
Biology Society (EMBC), 2012 Annual International Conference of the
IEEE, pages 1964–1967. IEEE, 2012.
[15] Woo Hyun Kim, Jeong Woo Park, Won Hyong Lee, Hui Sung Lee, and
Myung Jin Chung. Lma based emotional motion representation using
rgb-d camera. In Proceedings of the 8th ACM/IEEE international
conference on Human-robot interaction, pages 163–164. IEEE Press,
2013.
@article{"International Journal of Information, Control and Computer Sciences:70836", author = "Ran Bernstein and Tal Shafir and Rachelle Tsachor and Karen Studd and Assaf Schuster", title = "Laban Movement Analysis Using Kinect", abstract = "Laban Movement Analysis (LMA), developed in the
dance community over the past seventy years, is an effective method
for observing, describing, notating, and interpreting human
movement to enhance communication and expression in everyday
and professional life. Many applications that use motion capture data
might be significantly leveraged if the Laban qualities will be
recognized automatically. This paper presents an automated
recognition method of Laban qualities from motion capture skeletal
recordings and it is demonstrated on the output of Microsoft’s Kinect
V2 sensor.", keywords = "Laban Movement Analysis, Kinect, Machine
Learning.", volume = "9", number = "6", pages = "1574-5", }