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Posture Prediction and Force/Torque Analysis for Human Hands
ISSN: 0148-7191, e-ISSN: 2688-3627
Published July 04, 2006 by SAE International in United States
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Human hands are the bridge between humans and the objects to be manipulated or grasped both in the real and virtual world. Hands are used to grasp or manipulate objects and one of the most important functionalities is to position the fingers, i.e., given the position of the fingertip and to determine the joint angles. Last year we presented a 25-degree of freedom (DOF) hand model that has palm arch functionality. In this paper we preset an optimization-based inverse kinematics approach to position this 25 DOF hand locally with respect to the wrist instead of the traditional Moore-Penrose pseudo-inverse and experiment methods. The hypothesis is that human performance measures govern the configuration and motion of the hand. We also propose contact force and joint torque prediction. The exposition addresses (1) the determination whether a point is reachable (i.e., is it within the reach envelope), (2) the prediction of a finger posture for a given target point, (3) given the finger contact force analyzing the joint torque, and (4) given joint torque analyzing finger contact force. We illustrate the methodology through examples.
- Jingzhou Yang - Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design, The University of Iowa
- Esteban Pena Pitarch - Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design, The University of Iowa
- Joo Kim - Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design, The University of Iowa
- Karim Abdel-Malek - Virtual Soldier Research (VSR) Program, Center for Computer-Aided Design, The University of Iowa
CitationYang, J., Pitarch, E., Kim, J., and Abdel-Malek, K., "Posture Prediction and Force/Torque Analysis for Human Hands," SAE Technical Paper 2006-01-2326, 2006, https://doi.org/10.4271/2006-01-2326.
- Beck, D.J. and Chaffin, D.B., 1992, “An evaluation of inverse kinematics models for posture prediction”, Computer Applications in Ergonomics, Occupational Safety and Health, Elsevier, Amsterdam, pp. 329–336.
- Buchcholz B., Armstrong T.J. & Goldstein S.A., Anthropometric data for describing the kinematics of the human hand, Ergonomics, 35(3), 1992, 261–273.
- Das, B. and Behara, D.N., 1998, “Three-dimensional workspace for industrial workstations”, Human Factors, Vol. 40, No. 4, pp. 633–646.
- Denavit, J. and Hartenberg, R.S., 1955. A Kinematic Notation for Lower-Pair Mechanisms Based on Matrices, Journal of Applied Mechanics, vol. 77, 215–221.
- Dysart, M. J., and Woldstad, J. C., 1996. Posture prediction for static sagittal-plane lifting. Journal of Biomechanics, 29(10), 1393–1397.
- Faraway, J.J., Zhang, X.D. and Chaffin, D.B., 1999, “Rectifying postures reconstructed from joint angles to meet constraints”, Journal of Biomechanics, Vol. 32, pp. 733–736.
- Gill, P., Murray, W., and Saunders, A, 2002, SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization, SIAM Journal of Optimization, Vol. 12, No. 4, 979–1006.
- Jung, E. S., Choe, J., and Kim, S-H., 1994, Psychophysical cost function of joint movement for arm reach posture prediction. Proceedings of the 38th Annual Meeting of the Human Factors and Ergonomics Society, 1(1–2), 636–640.
- Jung, E. S., and Kee, D., 1996. A man-machine interface model with improved visibility and reach functions. Computers & Industrial Engineering, 30 (3), 475–486.
- Jung, E. S., and Choe, J., 1996. Human reach posture prediction based on psychophysical discomfort. International Journal of Industrial Ergonomics, 18 (2–3), 173–179.
- Jung, E.S., and Kang, D., 1995. An object-oriented anthropometric database for developing a man model. International Journal Of Industrial Ergonomics, 15(2), 103–110
- Jung, E S., Chung, M K., Upper Body Reach Posture Prediction for Ergonomics Evaluation Models, International Journal of Industrial Ergonomics, v16 n2 1995, 95.
- Jung, E S.; Kee, D; Chung, M K., Reach posture prediction of upper limb for ergonomic workspace evaluation, Proc. 36th Annual Meeting of the Human Factors Society, Part 1 (of 2) Oct 12–16 1992 v 1, Atlanta, GA, 702–706.
- Kee, D., Jung, E. S., and Chang, S., 1994. A man-machine interface model for ergonomic design. Computers & Industrial Engineering, 27 (1–4), 365–368.
- Kee, D., and Kim, S-H., 1997. Analytic generation of workspace using the robot kinematics. Computers & Industrial Engineering, 33(3,4), 525–528.
- Lee, S.W., and Zhang, X., Development and evaluation of an optimization-based model for power-grip posture prediction, Journal of Biomechanics, 38 (2005), 1591–1597.
- Pena Pitarch, E., Yang, J., and Abdel-Malek, Santos TM Hand: A 25 Degree-of-Freedom Model, SAE Technical Paper 2005-01-2727.
- Wang, X, 1999, Behavior-based inverse kinematics algorithm to predict arm prehension postures for computer-aided ergonomic evaluation, Journal of Biomechanics, 32(5), 453–460.
- Yang, J., Abdel-Malek, K., and Nebel, K., “On the Determination of Driver Reach and Barriers,” International Journal of Vehicle Design, Vol. 37, No. 4, 253–273, 2005.
- Zhang, X. and Chaffin, D.B., 1996, “Task effects on three-dimensional dynamic postures during seated reaching movements: an analysis method and illustration”, Proceedings of the 1996 40th Annual Meeting of the Human Factors and Ergonomics Society, Philadelphia, PA, Part 1, Vol. 1, pp. 594–598.