Author

A. Falisse

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 6

Signature Assays, Organisms & Methods

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Organism:human· 5 Research Focus:cell type annotation· 3 Assay:imaging· 3 Approach:statistical model· 3 Approach:deep learning· 2 Approach:experimental assay· 2 Research Focus:software / tool· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

F. De Groote· 3 shared J. L. Hicks· 3 shared S. L. Delp· 3 shared C. L. Dembia· 2 shared A. Hallemans· 1 shared A. S. Chaudhari· 1 shared A. Van Campenhout· 1 shared E. Papageorgiou· 1 shared

Activity by Year

2019-2024 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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3 shared papersBioengineering

F. De Groote

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Author profile →

6 papers

Recent·Most cited

Hamstrings are stretched more and faster during accelerative running compared to speed-matched constant speed running

R. D. Gurchiek, Z. Teplin, A. Falisse, J. L. Hicks, S. L. Delp

This study compares hamstring mechanics during accelerative and constant speed running, finding greater muscle-tendon lengths and lengthening velocities during acceleration.

bioRxiv · Mar 25, 2024Bioengineering

OpenCap: 3D human movement dynamics from smartphone videos

S. D. Uhlrich, A. Falisse, Łukasz Kidzinski, J. Muccini, M. Ko, A. S. Chaudhari, J. L. Hicks, S. L. Delp

OpenCap provides an open-source platform to compute human movement dynamics from smartphone videos, enabling accurate prediction of biomechanical metrics at lower cost and faster speed than traditional methods.

bioRxiv · Jul 7, 2022Bioengineering

Modeling toes contributes to realistic stance knee mechanics in three-dimensional predictive simulations of walking

A. Falisse, M. Afschrift, F. De Groote

This study shows that modeling toes and metatarsophalangeal joints improves stance knee mechanics in predictive walking simulations, but not ankle plantarflexion.

bioRxiv · Aug 13, 2021Bioengineering

OpenSim Moco: Musculoskeletal optimal control

C. L. Dembia, N. A. Bianco, A. Falisse, J. L. Hicks, S. L. Delp

The paper introduces OpenSim Moco, a software toolkit for musculoskeletal optimal control, demonstrating its ability to solve motion tracking, prediction, and device design problems.

bioRxiv · Nov 12, 2019Bioengineering

Physics-based predictive simulations to explore the differential effects of motor control and musculoskeletal deficits on gait dysfunction in cerebral palsy: a retrospective case study

A. Falisse, L. Pitto, H. Kainz, H. Hoang, M. Wesseling, S. Van Rossom, E. Papageorgiou, L. Bar-On, A. Hallemans, K. Desloovere, G. Molenaers, A. Van Campenhout, F. De Groote, I. Jonkers

This study uses physics-based simulations to identify that altered muscle-tendon properties, rather than neuromuscular control or spasticity, are the main cause of crouch gait in a child with cerebral palsy.

bioRxiv · Sep 14, 2019Bioengineering

Algorithmic differentiation improves the computational efficiency of OpenSim-based optimal control simulations of movement

A. Falisse, G. Serrancoli, C. L. Dembia, J. Gillis, F. De Groote

This study shows that algorithmic differentiation (AD) significantly improves computational efficiency in OpenSim-based optimal control simulations compared to finite differences (FD) and other AD tools.

bioRxiv · May 21, 2019Bioengineering