Evaluating the Agreement of Markerless Motion Capture for Joint Angle Estimation in a Constrained Hallway Setting Compared With a Traditional Laboratory Setting.
Gait analysis is a valuable approach for understanding human movement, but the space and setup requirements of traditional marker-based systems can limit their use outside specialized laboratories. Markerless motion capture may provide a more flexible option, though its agreement in constrained envi...
| Publicado en: | Journal of Applied Biomechanics Vol. 42; no. 3; pp. 1 - 10 |
|---|---|
| Autores principales: | , , , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Human Kinetics Publishers, Inc.
Jun2026
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=193959811&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 193959811 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10658483 0DM jtl: Journal of Applied Biomechanics issn: 10658483 maglogo: N pubinfo: dt: Jun2026 vid: 42 iid: 3 pid: 553 pub: Human Kinetics Publishers, Inc. place: Champaign, Illinois artinfo: ui: 193959811 193959811 193959811 10.1123/jab.2025-0265 193959811 ppf: 1 ppct: 9 formats: tig: atl: Evaluating the Agreement of Markerless Motion Capture for Joint Angle Estimation in a Constrained Hallway Setting Compared With a Traditional Laboratory Setting. aug: au: Ruder, Matthew Di Bacco, Vincenzo E. Outerleys, Jereme Malek, Monica Laende, Elise Gafoor, Fatima Madden, Kim Adili, Anthony Deluzio, Kevin Kobsar, Dylan affil: Department of Kinesiology, McMaster University, Hamilton, ON, Canada sug: subj: Motion Capture Gait Analysis Methods Motion Analysis Systems Lower Extremity Physiology Joints Physiology Kinematics Evaluation Human Comparative Studies Torso Physiology Flexion Funding Source Male Female Adult Standing Walking Physiology Task Performance and Analysis Imaging, Three-Dimensional Rising Pearson's Correlation Coefficient Intraclass Correlation Coefficient Experimental Studies Self Report Visual Analog Scaling Scales Hip Joint Physiology Knee Joint Physiology Ankle Joint Physiology Data Analysis Software Descriptive Statistics Abduction Adduction Extension Posture Adult: 19-44 years Male Female ab: Gait analysis is a valuable approach for understanding human movement, but the space and setup requirements of traditional marker-based systems can limit their use outside specialized laboratories. Markerless motion capture may provide a more flexible option, though its agreement in constrained environments compared with traditional spaces is not well established. This study compared a 10-camera markerless system deployed in a hallway with a traditional 8-camera laboratory setup. Twenty-five healthy adults (15 females, 10 males; age 34 [16] y) completed quiet standing, 60 seconds of self-selected walking, and 5-repetition sit-to-stand tasks at both sites on the same day. Three-dimensional pose estimates were processed to calculate alignment during standing, lower-limb joint kinematics during walking, and trunk flexion during sit-to-stand. Agreement within and between sites was assessed using Pearson correlations, root mean square error, Bland Altman limits of agreement, and intraclass correlation coefficients. Standing and walking outcomes showed excellent agreement (intraclass correlation coefficients ≥.97; root mean square error < 2.3°; mean differences < 1.1°). Sit-to-stand was more variable (limits of agreement 12°–20°) but remained highly reliable (intraclass correlation coefficients >.96). These findings indicate that a constrained markerless setup can yield kinematic data comparable to a laboratory arrangement, suggesting potential for broader use of markerless approaches in diverse environments. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|