The DOI matches its Crossref record.
A Dynamic Optimization Solution for Vertical Jumping in Three Dimensions
Abstract
A three-dimensional model of the human body is used to simulate a maximal vertical jump. The body is modeled as a 10-segment, 23 degree-of-freedom (dof), mechanical linkage, actuated by 54 muscles. Six generalized coordinates describe the position and orientation of the pelvis relative to the ground; the remaining nine segments branch in an open chain from the pelvis. The head, arms, and torso (HAT) are modeled as a single rigid body. The HAT articulates with the pelvis via a 3 dof ball-and-socket joint. Each hip is modeled as a 3 dof ball-and-socket joint, and each knee is modeled as a 1 dof hinge joint. Each foot is represented by a hindfoot and toes segment. The hindfoot articulates with the shank via a 2 dof universal joint, and the toes articulate with the hindfoot via a 1 dof hinge joint. Interaction of the feet with the ground is modeled using a series of spring-damper units placed under the sole of each foot. The path of each muscle is represented by either a series of straight lines or a combination of straight lines and space curves. Each actuator is modeled as a three-element, Hill-type muscle in series with tendon. A first-order process is assumed to model muscle excitation-contraction dynamics. Dynamic optimization theory is used to calculate the pattern of muscle excitations that produces a maximal vertical jump. Quantitative comparisons between model and experiment indicate that the model reproduces the kinematic, kinetic, and muscle-coordination patterns evident when humans jump to their maximum achievable heights.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Static and dynamic optimization solutions for gait are practically equivalent
Anderson, F. C., & Pandy, M. G. (2001) · Journal of Biomechanics · doi:10.1016/s0021-9290(00)00155-x · Cited by 788
Self-citationGenerating dynamic simulations of movement using computed muscle control
Thelen, D. G., Anderson, F. C., & Delp, S. L. (2003) · Journal of Biomechanics · doi:10.1016/s0021-9290(02)00432-3 · Cited by 678
Self-citationMuscle Contributions to Support and Progression during Single-Limb Stance in Crouch Gait
Steele, K. M., Seth, A., Hicks, J. L., Schwartz, M. S., & Delp, S. L. (2010) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2010.04.003 · Cited by 206
Metadata
- Authors
- ANDERSON, F. C., & PANDY, M. G.
- Venue
- Computer Methods in Biomechanics and Biomedical Engineering
- Publisher
- Informa UK Limited
- Published
- 1999-01
- Volume
- 2
- Issue
- 3
- Pages
- 201-231
- ISSN
- 1025-5842 (ISSN-L)
- 1476-8259
- OpenAlex
- W2034108388
- Cited by
- 573
- References
- 0
- FWCI
- 4.20
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Dynamic Optimization Solution for Vertical Jumping in Three Dimensions. https://app.cochat.ai/papers/10.1080/10255849908907988
- The paper
- ANDERSON, F. C., & PANDY, M. G. (1999). A Dynamic Optimization Solution for Vertical Jumping in Three Dimensions. Computer Methods in Biomechanics and Biomedical Engineering. https://doi.org/10.1080/10255849908907988
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.