Abstract
This paper describes a new approach to analyze hand gestures, based on an experimental approximation of the shape and kinematics of compressed arm trajectories. The motivation of such a model is on the one hand the reduction of the gesture data, and on the other hand the possibility to segment gestures into meaningful units, yielding to an analysis tool for gesture coding and synthesis. We show that the measures of the inverse of the distance between adaptive samples and velocity estimated at these points are respectively correlated to the instantaneous curvature and tangential velocity directly computed on motion capture data. Based on these correlation results, we propose a newway to automatically segment hand gestures. We show also that this approach can be applied to a global analysis / synthesis framework, useful for automatic animation of virtual characters performing sign langue gestures.
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References
Maletic, V.: Body, Space, Expression: The Development of Rudolf Laban’s Movement and Dance Concepts. Mouton de Gruyte, New York, NY, USA (1987)
Prillwitz, S., Leven, R., Zienert, H., Hanke, T., Henning, J., et al.: HamNoSys, version 2.0 - Hamburg Notation System for Sign Languages, an introductory guide. In: International studies on Sign Language and communication of the Deaf, vol. 5. Signum Press, Hamburg (1989)
Kendon, A.: How gestures can become like words. In: Poyatos, F. (ed.) Crosscultural perspectives in nonverbal communication, Toronto, Hogrefe, pp. 131–141 (1988)
McNeill, D.: Hand and Mind – What Gestures Reveal about Thought. The University of Chicago Press, Chicago (1992)
Kita, S., van Gijn, I., van der Hulst, H.: Movement Phase in Signs and Co-speech Gestures, and their Transcriptions by Human Coders. In: Wachsmuth, I., Fröhlich, M. (eds.) GW 1997. LNCS, vol. 1371, pp. 23–35. Springer, Heidelberg (1998)
Gibet, S., Kamp, J.-F., Poirier, F.: Gesture Analysis: Invariant Laws in Movement. In: Camurri, A., Volpe, G. (eds.) GW 2003. LNCS, vol. 2915, pp. 1–9. Springer, Heidelberg (2004)
Héloir, A., Gibet, S., Multon, F., Courty, N.: Captured Motion Data Processing for Real Time Synthesis of Sign Language. In: Gibet, S., Courty, N., Kamp, J.-F. (eds.) GW 2005. LNCS, vol. 3881, pp. 168–171. Springer, Heidelberg (2006)
Viviani, P., Terzuolo, C.: Trajectory determines movement dynamics. Neuroscience 7, 431–437 (1982)
Soechting, J.F., Terzuolo, C.A.: Organization of arm movements in three dimensional space. Wrist motion is piecewise planar. Neuroscience 23, 53–61 (1987)
Alexa, M., Müller, W.: Representing Animations by Principal Components. Computer Graphics Forum 19(3) (2000)
Chenevière, F., Boukir, S., Vachon, B.: A HMM-based dance gesture recognition system. In: Proceedings of the 9th international workshop on systems, signals and image processing, Manchester, UK, pp. 322–326 (2002)
Boukir, S., Chenevière, F.: Compression and recognition of dance gestures using a deformable model. Pattern Analysis and Applications 7(3), 308–316 (2004)
Marteau, P.F., Gibet, S.: Adaptive sampling of motion trajectories for discrete task-based analysis and synthesis of gesture. In: Gibet, S., Courty, N., Kamp, J.-F. (eds.) GW 2005. LNCS, vol. 3881, pp. 168–171. Springer, Heidelberg (2006)
Pikaz, A., Dinstein, I.: An algorithm for polygonal approximation based on iterative point elimination. Pattern Recognition Letters 16, 557–563 (1995)
Kolesnikov, A., Franti, P.: Reduced-search dynamic programming for approximation of polygonal curves. Pattern Recognition Letters 24, 2243–2254 (2003)
Marteau, P.F., Ménier, G.: Adaptive multiresolution and dedicated elastic matching in linear time complexity for time series data mining. In: Sixth International Conference on Intelligent Systems Design and Applications (IEEE ISDA 2006), Jinan Shandong, China, October 16-18 (2006)
Marteau, P.F., Ménier, G.: Speeding up Simplification of Polygonal Curves using Nested Approximations. Pattern Analysis and Applications (June 3, 2008) doi: 10.1007/s10044-008-0133-y
Gibet, S., Marteau, P.F.: A Self-Organized Model for the Control, Planning and Learning of Nonlinear Multi-Dimensional Systems Using a Sensory Feedback. Journal of Applied Intelligence 4, 337–349 (1994)
Gibet, S., Marteau, P.F., Julliard, F.: Models with Biological Relevance to Control Anthropomorphic Limbs: A Survey. In: Wachsmuth, I., Sowa, T. (eds.) GW 2001. LNCS (LNAI), vol. 2298, pp. 105–119. Springer, Heidelberg (2002)
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Gibet, S., Marteau, PF. (2009). Approximation of Curvature and Velocity for Gesture Segmentation and Synthesis. In: Sales Dias, M., Gibet, S., Wanderley, M.M., Bastos, R. (eds) Gesture-Based Human-Computer Interaction and Simulation. GW 2007. Lecture Notes in Computer Science(), vol 5085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92865-2_2
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DOI: https://doi.org/10.1007/978-3-540-92865-2_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-92864-5
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