Center of Mass (CoM) Motions and Foot Placement During Treadmill Walking Using One Time-of-Flight Camera.

Joshua T Chang, Alisha Ragatz, Anjana Ganesh, Ana P Quiros Padilla, Mikayla R Devins, Christina V Mihova, John G Milton

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Joshua T ChangDepartment of Neurology, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0003-3440-0750

Alisha RagatzOden Institute of Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0009-0001-5172-0927

Anjana GaneshDepartment of Neurology, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0009-0008-5965-9607

Ana P Quiros PadillaDepartment of Neurology, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0009-0008-7155-4787

Mikayla R DevinsDepartment of Neurology, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0009-0004-9230-7823

Christina V MihovaDepartment of Neurology, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0009-0007-8532-4299

John G MiltonDepartment of Neurology, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0001-5037-2548

Funding

Moncrief Summer Internship NAU.S. National Science Foundation 2123749Women in Neuroscience Summer Internship NA

6 · The paper itself

Abstract

Assessing the fall risk of a patient in a busy clinical setting is challenging. Tests such as the timed-up-and-go test and narrow beam walking are difficult to perform due to space restrictions. Moreover, it is not easy to directly connect the results of these tests to fundamental biomechanical principles of gait stability, which emphasize the interplay between the movements of the body's center of mass (CoM) and its base of support (BoS). Herein, we show how a 1.2 m-long treadmill and a single "time-of-flight" Azure Kinect camera can capture the CoM-BoS interplay within 5 min. The CoM was calculated by dividing the body into 14 segments determined from 20 joint positions measured by the Kinect camera's body tracking SDK. By tracking the CoM and joint positions from stride to stride, we can evaluate different gait stability metrics using a markerless, contactless, space-efficient approach. A large digital database of CoM movements relative to foot placement will be useful for the future development of statistical and machine learning techniques for identifying subjects at higher risk of falling.

Indexed as

Exercise TestFootWalkingAccidental FallsAdultBiomechanical PhenomenaFemaleGaitHumansMaleCoM movementsfoot placementgait analysisportable treadmilltime-of-flight camera

Identifiers

PMID41013087

DOI10.3390/s25185850

PMCPMC12473561

What OpenQuestion holds

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LicenceCC BY

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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.