On the Feasible Regions Delimiting Natural Human Postures in a Novel Skeletal Representation
Simon Hengeveld, Antonio Mucherino
Citation: Proceedings of the 17th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 30, pages 175–179 (2022)
Abstract. The de facto standard for storing human motiondata on a computer involves a representation based on Euler angles. This representation, while effective, has several short- comings. Triplets of Euler angles are not unique, and the same posture may be expressed using different combinations of angles. Furthermore, many possible Euler angle triplets correspond to unnatural positions for human joints. This means that, in general, a large part of the representational space remains unused. In this paper, we investigate a recently proposed representation inspired by molecular representations. It uses only two (instead of three) degrees of freedom per joint: a vector and a torsion angle. Using the two key ingredients of this new representation, we present a complete analysis of the Graphics Lab Motion Capture Database. The data found in this analysis provide us with some powerful insights about natural and unnatural human postures in human motions. These insights can potentially lead to possible constraints on human motions which may be used to more effectively solve open problems in the computer graphics community, most notably the problem of (human) motion adaptation
- H. Berman, J. Westbrook, Z. Feng, G. Gilliland, T. Bhat, H. Weissig, I. Shindyalov, P. Bourne, The Protein Data Bank, Nucleic Acids Research 28, 235–242, 2000.
- M. Gleicher, Retargetting Motion to New Characters. ACM Proceedings of the 25th annual conference on Computer Graphics and Interactive Techniques, 33–42, 1998.
- S. Guo, R. Southern, J. Chang, D. Greer, J.J. Zhang, Adaptive Motion Synthesis for Virtual Characters: a Survey, The Visual Computer 31(5), 497–512. 2015.
- S.B. Hengeveld, A. Mucherino, On the Representation of Human Motions and Distance-based Retargeting, IEEE Conference Proceedings, Federated Conference on Computer Science and Information Systems (FedCSIS21), Workshop on Computational Optimization (WCO21), Sofia, Bulgaria, 181–189, 2021.
- W. Maurel, D. Thalmann, Human Shoulder Modeling Including Scapulo-Thoracic Constraint and Joint Sinus Cones, Computers & Graphics 24, 203–218, 2000.
- M. Meredith, S. Maddock, Motion Capture File Formats Explained, Technical Report 211, Department of Computer Science, University of Sheffield, 36 pages, 2001.
- A. Mucherino, D.S. Gonçalves, An Approach to Dynamical Distance Geometry, Lecture Notes in Computer Science 10589, F. Nielsen, F. Barbaresco (Eds.), Proceedings of Geometric Science of Information (GSI17), Paris, France, 821–829, 2017.
- A. Mucherino, D.S. Gonçalves, A. Bernardin, L. Hoyet, F. Multon, A Distance-Based Approach for Human Posture Simulations, IEEE Conference Proceedings, Federated Conference on Computer Science and Information Systems (FedCSIS17), Workshop on Computational Optimization (WCO17), Prague, Czech Republic, 441–444, 2017.
- A. Mucherino, J. Omer, L. Hoyet, P. Robuffo Giordano, F. Multon, An Application-based Characterization of Dynamical Distance Geometry Problems, Optimization Letters 14(2), 493–507, 2020.
- G.N. Ramachandran, C. Ramakrishnan, V. Sasisekharan, Stereochemistry of Polypeptide Chain Configurations, Journal of Molecular Biology 7, 95–104, 1963.
- G.G. Slabaugh, Computing Euler Angles from a Rotation Matrix, Technical Report, City University London, 8 pages, 1999.