This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Identifying Alternative Movement Techniques from Existing Motion Data: An Empirical Performance Evaluation
Technical Paper
2004-01-2177
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
A manual task can be performed based on alternative movement techniques. Ergonomic human motion simulation requires consideration of alternative movement techniques, because they could bring different biomechanical, physiological, and psychophysical consequences. A method for identifying movement techniques from existing motion data was developed. The method is based on a JCV (Joint Contribution Vector) index and statistical clustering. A JCV quantifies a motion's underlying movement technique by computing contributions of individual body joint DOFs (degree-of-freedom) to the achievement of the task goal. Given a set of motions (motion capture data) achieving the same or similar task goals, alternative movement techniques can be identified by 1) representing the motions in terms of JCV and 2) performing a statistical clustering analysis. Performance of this movement technique identification method was evaluated based on a set of stoop and squat lifting motions. It was found that the method was able to identify the two distinct lifting techniques from the lifting motion dataset. Combined with the motion modification/adapting/editing methods, the movement technique identification method will enable consideration of alternative movement techniques in human motion simulation.
Recommended Content
Topic
Citation
Park, W. and Singh, D., "Identifying Alternative Movement Techniques from Existing Motion Data: An Empirical Performance Evaluation," SAE Technical Paper 2004-01-2177, 2004, https://doi.org/10.4271/2004-01-2177.Also In
References
- Bruderlin, A. Williams, L. 1995 Motion signal processing SIGGRAPH 95 Conference Proceedings
- Burgess-Limerick, R. Abernethy, B. 1997 Toward a quantitative definition of manual lifting postures Human Factors 39 141 148
- Gleicher, M. 1998 Retargeting motion to new characters SIGGRAPH 98 Conference Proceedings
- Hsiang, S.M. Brogmus, G.E. Courtney, T.K. 1997 Low back pain (LBP) and lifting technique - A review International Journal of Industrial Ergonomics 19 59 74
- Johnson, R.A. Wichern, D.W. 1998 Applied Multivariate Statistical Analysis Upper Saddle River, NJ Prentice-Hall
- Lee, J. Shin, S.Y. 1998 A hierarchical approach to interactive motion editing for human-like figures SIGGRAPH 99 Conference Proceedings
- Lindbeck, L. Kjellberg, K. 2001 Gender differences in lifting technique Ergonomics 44 202 214
- Park, W. 2003 Memory-based Human Motion Simulation University of Michigan
- Park, W. Chaffin, D.B. Martin, B.J. 2004 Toward Memory-based Human Motion Simulation: Development and Validation of a Motion Modification Algorithm IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
- Stenlund, B. Lindbeck L. Karlsson, D. 2002 Significance of house painters' work techniques on shoulder muscle strain during overhead work Ergonomics 45 455 468
- Straker, L. 2003 Evidence to support using squat, semi-squat and stoop techniques to lift low-lying objects International Journal of Industrial Ergonomics 31 149 160
- Witkin, A. Popović, Z. 1995 Motion warping SIGGRAPH 95 Conference Proceedings
- Zhang, X. Nussbaum, M. A. Chaffin, D. B. 2000 Back lift versus leg lift: an index and visualization of dynamic lifting strategies Journal of Biomechanics 33 777 782