ArticlePloS one2016
Automated Reconstruction of Three-Dimensional Fish Motion, Forces, and Torques.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- A Novel Fish Pose Estimation Method Based on Semi-Supervised Temporal Context Network.Biomimetics (Basel, Switzerland) · 2025Article
- Article
- The role of hydrodynamics in collective motions of fish schools and bioinspired underwater robots.Journal of the Royal Society, Interface · 2023Article
- Optimizing assays of zebrafish larvae swimming performance for drug discovery.Expert opinion on drug discovery · 2023Review
- Fishes regulate tail-beat kinematics to minimize speed-specific cost of transport.Proceedings. Biological sciences · 2021Article
- Three-dimensional topology optimization model to simulate the external shapes of bone.PLoS computational biology · 2021Article
- Experimental-numerical method for calculating bending moments in swimming fish shows that fish larvae control undulatory swimming with simple actuation.PLoS biology · 2020Article
- Prey capture analyses in the carnivorous aquatic waterwheel plant (Aldrovanda vesiculosa L., Droseraceae).Scientific reports · 2019Article
- Superfetation reduces the negative effects of pregnancy on the fast-start escape performance in live-bearing fish.Proceedings. Biological sciences · 2019Article
- Coasting in live-bearing fish: the drag penalty of being pregnant.Journal of the Royal Society, Interface · 2019Article
- Why do placentas evolve? Evidence for a morphological advantage during pregnancy in live-bearing fish.PloS one · 2018Article
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fish can move freely through the water column and make complex three-dimensional motions to explore their environment, escape or feed. Nevertheless, the majority of swimming studies is currently limited to two-dimensional analyses. Accurate experimental quantification of changes in body shape, position and orientation (swimming kinematics) in three dimensions is therefore essential to advance biomechanical research of fish swimming. Here, we present a validated method that automatically tracks a swimming fish in three dimensions from multi-camera high-speed video. We use an optimisation procedure to fit a parameterised, morphology-based fish model to each set of video images. This results in a time sequence of position, orientation and body curvature. We post-process this data to derive additional kinematic parameters (e.g. velocities, accelerations) and propose an inverse-dynamics method to compute the resultant forces and torques during swimming. The presented method for quantifying 3D fish motion paves the way for future analyses of swimming biomechanics.
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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.