Evidence map›Paper›PMID 41278152›Full record

ArticleIEEE robotics and automation letters2025

Adjustable Compliance Footwear Technology to Investigate Gait Adaptation.

Mark Price, Calder Robbins, Sarah Szemethy, Banu Abdikadirova, Gina Olson, Wouter Hoogkamer, Meghan E Huber

Abstract read
In one paragraph

Article in IEEE robotics and automation letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Gait Adaptation to Asymmetric Foot-Ground Compliance Applied by Robotic Footwear.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026
    Article
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

7 authors.

Mark PriceDepartment of Mechanical and Industrial Engineering, University of Massachusetts Amherst, Amherst, MA 01003 USA.ORCID 0000-0003-0536-5714
Calder RobbinsDepartment of Mechanical and Industrial Engineering, University of Massachusetts Amherst, Amherst, MA 01003 USA.ORCID 0009-0003-2857-9309
Sarah SzemethyDepartment of Mechanical and Industrial Engineering, University of Massachusetts Amherst, Amherst, MA 01003 USA.
Banu AbdikadirovaDepartment of Mechanical and Industrial Engineering, University of Massachusetts Amherst, Amherst, MA 01003 USA.ORCID 0000-0002-4885-9426
Gina OlsonDepartment of Mechanical and Industrial Engineering, University of Massachusetts Amherst, Amherst, MA 01003 USA.ORCID 0000-0001-6521-5895
Wouter HoogkamerDepartment of Kinesiology, University of Massachusetts Amherst, Amherst, MA 01003 USA.ORCID 0000-0003-0524-0196
Meghan E HuberDepartment of Mechanical and Industrial Engineering, University of Massachusetts Amherst, Amherst, MA 01003 USA.ORCID 0000-0002-0415-4002

Funding

Portable, robotic footwear for real-time control of foot-ground stiffnessR21EB033450 · NIBIB · UNIVERSITY OF MASSACHUSETTS AMHERST · PI HOOGKAMER, WOUTER, HUBER, MEGHAN E · 2022 to 2024
$613k
NIBIB NIH HHS R21 EB033450
6 · The paper itself

Abstract

Kinetic asymmetries in gait caused by neuropathology are a major factor in mobility deficiency. Gait perturbation training has shown promise for rehabilitating neurological gait asymmetry, but the transfer of benefits from treadmill training to overground walking is limited. To enable kinetic gait perturbation training on treadmills and overground, we developed novel adjustable compliance footwear technology. The system consists of a wearable pneumatic actuation module which controls the pressure of custom air pockets embedded in a soft lattice midsole, and is capable of independently and wirelessly adjusting the midsole compliance under each foot from 300 kN/m and 60% energy absorption to 18 kN/m and 75% energy absorption in about 4 seconds. Hindfoot and forefoot sole deflection data are measured via Hall effect sensors and paired magnets characterized to 1.7 mm accuracy. To demonstrate the experimental capability of the system, we successfully triggered multiple compliance changes during overground walking and recorded ground reaction forces and embedded sensor values during a prolonged asymmetric compliance walking bout on a treadmill. Future work will include a full experimental study of gait adaptation to asymmetric footwear compliance perturbations.

Indexed as

compliant joints and mechanismsrehabilitation roboticsWearable robotics

Identifiers

PMID41278152
PMCPMC12636696

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.