ArticleScientific reports2020
Efficient trajectory optimization for curved running using a 3D musculoskeletal model with implicit dynamics.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Bridging the sim2real gap. Investigating deviations between experimental motion measurements and musculoskeletal simulation results-a systematic review.Frontiers in bioengineering and biotechnology · 2024Pooled it
- The Effects of Shoe Sole Thickness on Running Style and Stability During Downhill Running at Different Speeds.European journal of sport science · 2026Article
- From body hulls to musculoskeletal models: Personalized inertial parameter estimation.PloS one · 2026Article
- Smart technology and multibody simulation for skier safety: a structured narrative review and research roadmap.Frontiers in sports and active living · 2026Review
- Neural networks estimate muscle force in dynamic conditions better than Hill-type muscle models.The Journal of experimental biology · 2025Article
- A PRISMA systematic review through time on predictive musculoskeletal simulations.Journal of neuroengineering and rehabilitation · 2025Article
- Article
- Walking speeds are lower for short distance and turning locomotion: Experiments and modeling in low-cost prosthesis users.PloS one · 2024Article
- Estimating 3D kinematics and kinetics from virtual inertial sensor data through musculoskeletal movement simulations.Frontiers in bioengineering and biotechnology · 2024Article
- Model-based estimation of muscle and ACL forces during turning maneuvers in alpine skiing.Scientific reports · 2023Article
- A Wearable Real-time Kinematic and Kinetic Measurement Sensor Setup for Human Locomotion.Wearable technologies · 2023Article
- Neuromechanics-Based Neural Feedback Controller for Planar Arm Reaching Movements.Bioengineering (Basel, Switzerland) · 2023Article
- Identification of Optimal Movement Patterns for Energy Pumping.Sports (Basel, Switzerland) · 2023Article
- Lumbar and pelvis movement comparison between cross-court and long-line topspin forehand in table tennis: based on musculoskeletal model.Frontiers in bioengineering and biotechnology · 2023Article
- Article
- Optimum trajectory learning in musculoskeletal systems with model predictive control and deep reinforcement learning.Biological cybernetics · 2022Article
- Patterns of asymmetry and energy cost generated from predictive simulations of hemiparetic gait.PLoS computational biology · 2022Article
- Musculoskeletal modelling and simulation of oil palm fresh fruit bunch harvesting.Scientific reports · 2022Article
- Article
- Estimation of Joint Moments During Turning Maneuvers in Alpine Skiing Using a Three Dimensional Musculoskeletal Skier Model and a Forward Dynamics Optimization Framework.Frontiers in bioengineering and biotechnology · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Trajectory optimization with musculoskeletal models can be used to reconstruct measured movements and to predict changes in movements in response to environmental changes. It enables an exhaustive analysis of joint angles, joint moments, ground reaction forces, and muscle forces, among others. However, its application is still limited to simplified problems in two dimensional space or straight motions. The simulation of movements with directional changes, e.g. curved running, requires detailed three dimensional models which lead to a high-dimensional solution space. We extended a full-body three dimensional musculoskeletal model to be specialized for running with directional changes. Model dynamics were implemented implicitly and trajectory optimization problems were solved with direct collocation to enable efficient computation. Standing, straight running, and curved running were simulated starting from a random initial guess to confirm the capabilities of our model and approach: efficacy, tracking and predictive power. Altogether the simulations required 1 h 17 min and corresponded well to the reference data. The prediction of curved running using straight running as tracking data revealed the necessity of avoiding interpenetration of body segments. In summary, the proposed formulation is able to efficiently predict a new motion task while preserving dynamic consistency. Hence, labor-intensive and thus costly experimental studies could be replaced by simulations for movement analysis and virtual product design.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.