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Record W3201502849 · doi:10.1242/jeb.243366

Shock absorbers hold the key to a smooth stroll

2021· article· en· W3201502849 on OpenAlexaboutno aff
Kathryn Knight

Bibliographic record

VenueJournal of Experimental Biology · 2021
Typearticle
Languageen
FieldEngineering
TopicSports Dynamics and Biomechanics
Canadian institutionsnot available
Fundersnot available
KeywordsSTRIDEEnergy (signal processing)HeelTreadmillMovement (music)GaitAnatomyPhysical medicine and rehabilitationPhysicsMedicineAcousticsPhysical therapy

Abstract

fetched live from OpenAlex

When scientists think of a human walking, they don't see fleshy limbs striding along; they imagine an upside-down pendulum, pivoting where the foot hits the ground, swinging in an inverted arc as our front leg swings our body forward. For all its simplicity, this system does a pretty good job of predicting how we recycle energy while we saunter. But everyone knows that walking requires effort. Our bodies are full of muscles that drive our motions and act as natural brakes, in addition to other soft tissues that absorb energy, which we must replenish. Yet it wasn't clear how these shock absorbing structures – such as our soft organs and the pad of fat that cushions the heel – absorb energy over the course of a stride, or how much energy our bodies must provide to replenish that which is lost. So, Tim van der Zee and Arthur Kuo, both from the University of Calgary, Canada, investigated how nine fit and healthy volunteers performed a range of walks – from a regular stroll to a range of bizarre lopes – on a treadmill as the forces they were exerting were measured, to find out how the shock absorbers in our bodies contribute to walking.Initially, van der Zee analysed 3D movies of the volunteers’ movements, filmed by colleagues at the University of Michigan, USA. Then, he calculated how much energy different portions of the body were consuming as the muscles drove the movement, and also how much energy they absorbed when the heel hit the ground, across the range of different walks. ‘We applied a relatively new analysis to the 26 recorded walks of each volunteer, calculating contributions from both rigid and squishy structures’, says van der Zee, who found that the amount of energy absorbed by the volunteers’ bodies increased as they walked faster. Most importantly, van der Zee and Kuo realised that the walkers’ soft tissues – including our internal organs and the heel fat pad – were acting as the main shock absorbers as the volunteers’ feet hit the treadmill. ‘Soft tissues account for most (∼63%) of the energy absorption after the heel hits the treadmill’, says van der Zee, adding that the rest of the energy is probably absorbed by springy tendons – which recycle some of their stored energy into the next stride – and muscles. These shock absorbers also accounted for the majority of the energy absorbed by the body over the course of the entire stride, not just the instant of impact.In addition, the duo fine-tuned the ‘inverted pendulum’ way of thinking about how people walk and incorporated how these shock absorbers affect our movement, discovering that they play a crucial role in keeping us moving forward economically, as well as protecting our joints from injury. ‘Energy absorption by squishy structures like the heel pad is an important feature of human walking, observable for a large variety of walks’, says van der Zee, adding that these shock absorbing structures seem to hold the key to a pleasant and comfortable stroll.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score0.236

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.246
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2021
Admission routes1
Has abstractyes

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