Evidence map›Paper›PMID 38476583›Full record

ArticleIEEE sensors journal2024

OptiGait: Gait Monitoring Using An Ankle-Worn Stereo Camera System.

Jiangang Chen, Jayer Fernandes, Jianwei Ke, Francis Lu, Barbara King, Yu Hen Hu, Hongrui Jiang

Abstract read
In one paragraph

Article in IEEE sensors journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. A Wearable Gait Monitoring System for 17 Gait Parameters Based on Computer Vision.IEEE transactions on instrumentation and measurement · 2025
    Article
  3. Article
  4. 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.

Jiangang ChenDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706 USA.
Jayer FernandesDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706 USA.
Jianwei KeDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706 USA.
Francis LuDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706 USA.
Barbara KingSchool of Nursing, University of Wisconsin-Madison, Madison, WI 53706 USA.
Yu Hen HuDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706 USA.
Hongrui JiangDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706 USA.

Funding

Expanding the CAARN to accelerate research on multiple chronic conditions with rural and African-American communities and health-care providersR33AG061699 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Dorothy Farrar Edwards, Hongrui Jiang · 2019 to 2026
$5.1M
EasyVis: laparoscopic surgical visualization through an untethered, panoramic, three-dimensional imaging systemR01EB019460 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI HEISE, CHARLES P, JIANG, HONGRUI · 2015 to 2024
$3.2M
NIA NIH HHS R33 AG061699NIBIB NIH HHS R01 EB019460
6 · The paper itself

Abstract

We developed an ankle-worn gait monitoring system for tracking gait parameters, including length, width, and height. The system utilizes ankle bracelets equipped with wide-angle infrared (IR) stereo cameras tasked with monitoring a marker on the opposing ankle. A computer vision algorithm we have also developed processes the imaged marker positions to estimate the length, width, and height of the person's gait. Through testing on multiple participants, the prototype of the proposed gait monitoring system exhibited notable performance, achieving an average accuracy of 96.52%, 94.46%, and 95.29% for gait length, width, and height measurements, respectively, despite distorted wide-angle images. The OptiGait system offers a cost-effective and user-friendly alternative compared to existing gait parameter sensing systems, delivering comparable accuracy in measuring gait length and width. Notably, the system demonstrates a novel capability in measuring gait height, a feature not previously reported in the literature.

Indexed as

Computer VisionGait MonitoringStereo CameraWearable Device

Identifiers

PMID38476583
PMCPMC10927005

What OpenQuestion holds

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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.