A Wearable Haptic Feedback System for Arm-Swing Amplitude Modulation During Overground Walking in Older Adults.

Ines Khiyara, Ben Sidaway, Babak Hejrati

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2026. 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.

Real-Time Foot Height Estimation and Activity Classification Using a Foot-Mounted IMU Implemented on a Smartphone.Sensors (Basel, Switzerland) · 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

3 authors.

Ines KhiyaraBiorobotics and Biomechanics Laboratory, Department of Mechanical Engineering, University of Maine, Orono, ME 04469, USA.ORCID 0009-0005-8622-4762

Ben SidawaySchool of Physical Therapy, Husson University, Bangor, ME 04401, USA.ORCID 0000-0003-2581-6500

Babak HejratiBiorobotics and Biomechanics Laboratory, Department of Mechanical Engineering, University of Maine, Orono, ME 04469, USA.ORCID 0000-0002-7593-6028

Funding

NSF 2145177

6 · The paper itself

Abstract

Reduced arm swing frequently occurs in older adults and is associated with declined gait performance. Experimental studies have demonstrated that restricting arm swing decreases stride length and walking speed, whereas deliberately increasing arm swing can improve these gait parameters. This study evaluated whether a wearable haptic feedback system could effectively increase arm-swing amplitude and assess its effects on spatiotemporal gait outcomes during overground walking. Using a within-subject repeated-measures design, twelve community-dwelling older adults (6 males/6 females; 75.8±6.5 years) completed three no-feedback conditions (Baseline, Exaggerated, Fast) and six feedback conditions varying

Indexed as

ArmFeedback, SensoryWalkingWearable Electronic DevicesAgedAged, 80 and overBiomechanical PhenomenaFemaleGaitHumansMaleRange of Motion, Articulararm-swing range of motionarm-swing symmetryclosed-loop feedbackgait analysisinertial measurement unitssmartphone-based systemstride lengthvibrotactile feedbackwalking speed

Identifiers

PMID41829493

DOI10.3390/s26051532

PMCPMC12986842

What OpenQuestion holds

Textmetadata

LicenceCC BY

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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.