Andreas Aristidou
Yiorgos Chrysanthou
ABSTRACT
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 encode characteristics of motion using the Body, Effort, Shape and Space components of Laban Movement Analysis (LMA), to explore the motion quality from acted dance performances. Using Principal Component Analysis (PCA), we evaluate the importance of the proposed features - with regards to their ability to separate the performer's emotional state - indicating the weight of each feature in motion classification. PCA has been also used for dimensionality reduction, laying the foundation for the qualitative and quantitative classification of movements based on their LMA characteristics. Early results show that the proposed features provide a representative space for indexing and classification of dance movements with regards to the emotion, which can be used for synthesis and composition purposes.
- Arikan, O., Forsyth, D. A., and O'Brien, J. F. 2003. Motion synthesis from annotations. ACM TOG 22, 3, 402--408. Google Scholar
Digital Library
- Barbič, J., Safonova, A., Pan, J.-Y., Faloutsos, C., Hodgins, J. K., and Pollard, N. S. 2004. Segmenting motion capture data into distinct behaviors. In Proceedings of GI '04. Google ScholarDigital Library
- Chan, J. C. P., Leung, H., Tang, J. K. T., and Komura, T. 2011. A virtual reality dance training system using motion capture technology. IEEE Trans. on L. Tech. 4, 2, 187--195. Google ScholarDigital Library
- Chao, M.-W., Lin, C.-H., Assa, J., and Lee, T.-Y. 2012. Human motion retrieval from hand-drawn sketch. IEEE Trans. on Visualization and Computer Graphics 18, 5, 729--740. Google ScholarDigital Library
- Chi, D., Costa, M., Zhao, L., and Badler, N. 2000. The emote model for effort and shape. In Proceedings of SIGGRAPH '00, ACM, NY, USA, 173--182. Google ScholarDigital Library
- Cimen, G., Ilhan, H., Capin, T., and Gurcay, H. 2013. Classification of human motion based on affective state descriptors. Comp. Anim. & Virtual Worlds 24, 3--4, 355--363.Google ScholarCross Ref
- CMU, 2003. Carnegie Mellon Univ.: MoCap Database.Google Scholar
- Deng, Z., Gu, Q., and Li, Q. 2009. Perceptually consistent example-based human motion retrieval. In Proceedings of I3D '09, ACM, NY, USA, 191--198. Google ScholarDigital Library
- Fagerberg, P., Ståhl, A., and Höök, K. 2003. Designing gestures for affective input: An analysis of shape, effort and valance. In Proceedings of MUM'03, 57--65.Google Scholar
- Guest, A. H. 2005. Labanotation: The System of Analysing and Recording Movement. Routledge.Google Scholar
- Kapadia, M., Chiang, I.-k., Thomas, T., Badler, N. I., and Kider, Jr., J. T. 2013. Efficient motion retrieval in large motion databases. In Proceedings of I3D '13, ACM, NY, USA, 19--28. Google ScholarDigital Library
- Keogh, E., Palpanas, T., Zordan, V. B., Gunopulos, D., and Cardle, M. 2004. Indexing large human-motion databases. In Proceedings of VLDB, 780--791. Google ScholarDigital Library
- Kovar, L., and Gleicher, M. 2004. Automated extraction and parameterization of motions in large data sets. ACM Trans. of Graphics 23, 3, 559--568. Google ScholarDigital Library
- Kovar, L., Gleicher, M., and Pighin, F. 2002. Motion graphs. ACM Trans. of Graphics 21, 3, 473--482. Google ScholarDigital Library
- Krüger, B., Tautges, J., Weber, A., and Zinke, A. 2010. Fast local and global similarity searches in large motion capture databases. In Proceedings of SCA '10, 1--10. Google ScholarDigital Library
- Liu, G., Zhang, J., Wang, W., and McMillan, L. 2005. A system for analyzing and indexing human-motion databases. In SIGMOD '05, 924--926. Google ScholarDigital Library
- Luo, P., and Neff, M. 2012. A perceptual study of the relationship between posture and gesture for virtual characters. In Motion in Games, 254--265.Google Scholar
- Maletić, V. 1987. Body, Space, Expression: The Edevelopment of Rudolf Laban's Movement and Dance Concepts. Approaches to semiotics. De Gruyter Mouton.Google Scholar
- Min, J., Liu, H., and Chai, J. 2010. Synthesis and editing of personalized stylistic human motion. In Proceedings of I3D'10, ACM, NY, USA, 39--46. Google ScholarDigital Library
- Müller, M., Röder, T., and Clausen, M. 2005. Efficient content-based retrieval of motion capture data. ACM Trans. of Graphics 24, 3, 677--685. Google ScholarDigital Library
- Okajima, S., Wakayama, Y., and Okada, Y. 2012. Human motion retrieval system based on LMA features using IEC method. In Innov. in Intelligent Machines, 117--130.Google Scholar
- Shapiro, A., Cao, Y., and Faloutsos, P. 2006. Style components. In Proceedings of GI'06, 33--39. Google ScholarDigital Library
- Troje, N. F. 2009. Decomposing biological motion: A framework for analysis and synthesis of motion gait patterns. Journal of Motion 2, 5, 371--387.Google Scholar
- UCY, 2012. Univ. of Cyprus: Dance MoCap Database.Google Scholar
- UTA, 2011. Univ. of Texas-Arlington: Human Motion DB.Google Scholar
- Wu, S., Wang, Z., and Xia, S. 2009. Indexing and retrieval of human motion data by a hierarchical tree. In Proceedings of VRST, ACM, NY, USA, 207--214. Google ScholarDigital Library
- Zhao, L., and Badler, N. I. 2005. Acquiring and validating motion qualities from live limb gestures. Graphical Models 67, 1, 1--16. Google ScholarDigital Library
Index Terms
- Motion indexing of different emotional states using LMA components
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