Author ORCID Identifier:

https://orcid.org/0000-0003-0059-6636

Date of Graduation

8-2025

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Health, Sport and Exercise Science (PhD)

Degree Level

Graduate

Department

Health, Human Performance and Recreation

Advisor/Mentor

Schmitt, Abigail

Committee Member

Elizabeth Parke

Second Committee Member

Michelle Gray

Third Committee Member

Tiphanie Raffegeau

Keywords

2D Video Analysis; Methodology; Obstacle Crossing; Pressure-Sensing Walkway; Validation

Abstract

Obstacle crossing research is crucial for providing insights into how and why people trip and fall. However, a growing body of literature has proposed that laboratory-based studies may not directly translate into real-world settings due to the complex nature beyond the sterile lab. Unfortunately, the absence of real-world obstacle crossing literature is likely due to a lack of available validated methods for collection of data outside the laboratory. This dissertation explored two potential methodologies (i.e., 2D motion capture and a pressure sensing walkway) that are more portable and cost-effective for collecting real-world obstacle crossing measures. It is hypothesized that 2D video and a pressure sensing walkway will perform good-to-excellent for statistical evaluations of accuracy, agreement, and reliability, proving them adequate alternatives to expensive 3D motion capture for use in clinics and real-world collections. Participants (aim 1: n = 54; aim 2: n = 52) completed 10 obstacle crossings with simultaneous collection of 2D video and 3D motion capture (aim 1) and pressure sensing walkway and 3D motion capture (aim 2). Obstacle crossing measures collected via the 2D video and the pressure sensing walkway were compared to the gold standard (3D motion capture) during three random trials. For both aims, accuracy between methods were examined via absolute percent error, Pearson product correlation, and one-sample t tests. Agreement was assessed via Bland-Altman plot analysis and a linear regression. Lastly, intraclass correlations assessed reliability between trials. Generally, 2D video analysis performed poorly compared to 3D motion capture, for accuracy, agreement, and reliability. The pressure sensing walkway shows more promise for collection of horizontal obstacle crossing measures, evidenced by excellent accuracy of adjusted approach and landing distance with excellent agreement in crossing step length, but lack of reliability between trials is concerning. Although both 2D video and pressure sensing walkways have potential to be simple, cost-effective ways to collect obstacle crossing measures outside of a laboratory, we are not there yet.

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Biomechanics Commons

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