Evidence map›Paper›PMID 34711856›Full record

ArticleScientific data2021

Lower-limb kinematics and kinetics during continuously varying human locomotion.

Emma Reznick, Kyle R Embry, Ross Neuman, Edgar Bolívar-Nieto, Nicholas P Fey, Robert D Gregg

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
1.1field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

63 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
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  10. Vibrotactile Haptic and Gesture Feedback in a Smartwatch for Controlling a Multi-Activity Powered Knee-Ankle Prosthesis.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025
    Article
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  13. Implementation and Validation of a Data-Driven Variable Impedance Controller on the Össur Power Knee.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2025
    Article
  14. A Task-Agnostic Approach to Unified Multi-Activity Gait Phase Estimation via Bilateral Sensing.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2025
    Article
  15. Adapting Biomimetic Kinematics for Controlling a Powered-Knee, Passive-Ankle Prosthesis Across Inclines.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2025
    Article
  16. Article
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  20. Unified Control of a Powered Knee-Ankle Prosthesis Enables Walking, Stairs, Transitions, and Other Daily Ambulation Activities.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
    Article

3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Emma Reznick *University of Michigan, Robotics Institute, Ann Arbor, MI, 48109, USA.ORCID 0000-0003-0422-1401
Kyle R Embry *University of Texas at Dallas, Department of Mechanical Engineering, Richardson, TX, 75080, USA.
Ross NeumanUniversity of Texas at Austin, Department of Mechanical Engineering, Austin, TX, 78712, USA.
Edgar Bolívar-NietoUniversity of Michigan, Robotics Institute, Ann Arbor, MI, 48109, USA.ORCID 0000-0001-7697-4387
Nicholas P FeyUniversity of Texas at Austin, Department of Mechanical Engineering, Austin, TX, 78712, USA.
Robert D GreggUniversity of Michigan, Robotics Institute, Ann Arbor, MI, 48109, USA. rdgregg@umich.edu.ORCID 0000-0002-0729-2857
University of Michigan · USThe University of Texas at Austin · USNorthwestern University · US

Funding

Controlling Robot-Assisted Locomotion with Extended Kalman Filter Estimates of Phase and ActivityR01HD094772 · NICHD · UNIVERSITY OF TEXAS DALLAS · PI Robert D Gregg · 2018 to 2026
$4.3M
Burroughs Wellcome Fund (BWF) 1010525NICHD NIH HHS R01 HD094772U.S. Department of Health & Human Services | NIH | NICHD | National Center for Medical Rehabilitation Research (NCMRR) R01HD094772
6 · The paper itself

Abstract

Human locomotion involves continuously variable activities including walking, running, and stair climbing over a range of speeds and inclinations as well as sit-stand, walk-run, and walk-stairs transitions. Understanding the kinematics and kinetics of the lower limbs during continuously varying locomotion is fundamental to developing robotic prostheses and exoskeletons that assist in community ambulation. However, available datasets on human locomotion neglect transitions between activities and/or continuous variations in speed and inclination during these activities. This data paper reports a new dataset that includes the lower-limb kinematics and kinetics of ten able-bodied participants walking at multiple inclines (±0°; 5° and 10°) and speeds (0.8 m/s; 1 m/s; 1.2 m/s), running at multiple speeds (1.8 m/s; 2 m/s; 2.2 m/s and 2.4 m/s), walking and running with constant acceleration (±0.2; 0.5), and stair ascent/descent with multiple stair inclines (20°; 25°; 30° and 35°). This dataset also includes sit-stand transitions, walk-run transitions, and walk-stairs transitions. Data were recorded by a Vicon motion capture system and, for applicable tasks, a Bertec instrumented treadmill.

Indexed as

GaitAdultBiomechanical PhenomenaFemaleHumansKineticsLocomotionLower ExtremityMaleMiddle AgedRunningSitting PositionStair ClimbingStanding PositionWalkingYoung Adult

Identifiers

PMID34711856
PMCPMC8553836
OpenAlexW3198500577

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.