Abstract
Motion capture experiments are often used in coordination with digital human modeling to offer insight into the simulation of real-world tasks or as a means of validating existing simulations. However, there is a gap between the motion capture experiments and the simulation models, because the motion capture system is based on Cartesian space while the simulation models are based on joint space. This paper bridges the gap and presents a methodology that enables one to map joint angles of motion capture experiments to simulation models in order to obtain the same posture. The posture reconstruction method is an optimization-based approach where the cost function is a constant and constraints include (1) the distances between simulation model joint centers and the corresponding experimental subject joint centers are equal to zeros; (2) all joint angles are within joint limits. Examples are used to demonstrate the effectiveness of the proposed method.
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Denavit, J., Hartenberg, R.S.: A Kinematic Notation for Lower-Pair Mechanisms Based on Matrices. Journal of Applied Mechanics 22, 215–221 (1955)
DI-Guy- Human Simulation Software, Boston Dynamics (2008), http://www.bostondynamics.com/diguy/index.htm
Hagio, K., Sugano, N., Nishii, T., Miki, H., Otake, Y., Hattori, A., Suzuki, N., Yonenobu, K., Yoshikawa, H., Ochi, T.: A novel system of four-dimensional motion analysis after total hip athroplasty. Journal of Orthopaedic Research 22(3), 665–670 (2004)
Gill, P.E., Murray, W., Saunders, M.A.: SNOPT: An SQP algorithm for large-scale constrained optimization. SIAM J. Optim. 12 (2002)
Gragg, J., Yang, J., Long, J.: Optimization-Based Approach for Determining Driver Seat Adjustment range for Vehicles. International Journal of Vehicle Design (2010a) (in print)
Gragg, J., Yang, J., Long, J.: Digital Human Model for Driver Seat Adjustment Range Determination. In: SAE 2010 World Congress and Exhibition, Detroit, MI, April 12-15 (2010b)
Miller, C., Mulavara, A., Bloomberg, J.: A quasi-static method for determining the characteristic of motion capture camera system in a ‘split-volume’ configuration. Gait & Posture 16(3), 283–287 (2002)
Ozsoy, B., Yang, J., Boros, R., Hashemi, J.: Direct Optimization-Based Planar Human Vertical Jumping Simulation. International Journal of Human Factors Modelling and Simulation (2010) (submitted)
Rasmussen, J., Ozen, M.: AnyBody – ANSYS Interface: CAE Technology for the Human Body. CADFEM Medical (2007)
Robert, J.J., Michele, O., Gordon, L.H.: Validation of the Vicon 460 Motion Capture SystemTM for Whole-Body Vibration Acceleration Determination. In: ISB XXth Congress-ASB 29th Annual Meeting, Cleveland, Ohio, July 31-August 5 (2005)
Veloso, A., Esteves, G., Silva, S., Ferreira, C., Brandão, F.: Biomechanics Modeling of Human Musculoskeletal System Using Adams Multibody Dynamics Package. Faculty of Human Movement Sciences – Technical University of Lisbon (2004)
Yang, J., Marler, R.T., Kim, H., Arora, J., Abdel-Malek, K.: Multi-Objective Optimization for Upper Body Posture Prediction. In: 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Albany, New York, USA, August 30-September 1 (2004)
Zou, Q., Zhang, Q., Yang, J.: Determining Weights of Joint Displacement Objective Function in Optimization-Based Posture Prediction. In: 1st International Conference on Applied Digital Human Modeling, Miami, Florida, July 17-20 (2010)
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© 2011 Springer-Verlag Berlin Heidelberg
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Gragg, J., Yang, J.(., Boothby, R. (2011). Posture Reconstruction Method for Mapping Joint Angles of Motion Capture Experiments to Simulation Models. In: Duffy, V.G. (eds) Digital Human Modeling. ICDHM 2011. Lecture Notes in Computer Science, vol 6777. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21799-9_8
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DOI: https://doi.org/10.1007/978-3-642-21799-9_8
Publisher Name: Springer, Berlin, Heidelberg
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