Application of video frame interpolation to markerless, single-camera gait analysis

DUNN, Marcus, KENNERLEY, Adam, MURRELL-SMITH, Zhane, WEBSTER, Kate, MIDDLETON, Kane and WHEAT, Jonathan (2023). Application of video frame interpolation to markerless, single-camera gait analysis. Sports Engineering, 26 (1): 22.

[img]
Preview
PDF
Dunn-ApplicationOfVideoFrame(VoR).pdf - Published Version
Creative Commons Attribution.

Download (1MB) | Preview
Official URL: https://link.springer.com/article/10.1007/s12283-0...
Open Access URL: https://link.springer.com/content/pdf/10.1007/s122... (Published)
Link to published version:: https://doi.org/10.1007/s12283-023-00419-3

Abstract

In clinic settings, factors such as time, cost, expertise, and technology feasibility limit the use of instrumented biomechanical analysis. Recent advances in commercial markerless motion capture systems can address patient ease-of-use factors, but are high cost and require specialised equipment, dedicated spaces, and technical expertise. As such, they present similar limitations to biomechanical analyses in clinic settings. Single-camera pose estimation techniques have generated cautious optimism for markerless gait analysis. However, parameters derived using low-cost and low-sample rate cameras commonly used in clinic settings are not yet accurate enough to detect change in complex movement systems. Video frame interpolation is a single-step process that artificially increases the sample rate of videos. This study applied video frame interpolation to videos of walking and demonstrates improved precision for step, stance, swing and double support times, as well as marginal improvements to the precision of ankle and knee joint angles, derived by single-camera pose estimation. Video frame interpolation potentially represents a delimiting factor for gait analysis in clinic settings, as limiting factors such as time, cost, technology feasibility and patient ease-of-use can be minimised.

Item Type: Article
Uncontrolled Keywords: 0906 Electrical and Electronic Engineering; 0913 Mechanical Engineering; 1106 Human Movement and Sports Sciences; 4207 Sports science and exercise
Identification Number: https://doi.org/10.1007/s12283-023-00419-3
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 02 May 2023 13:21
Last Modified: 11 Oct 2023 15:31
URI: https://shura.shu.ac.uk/id/eprint/31834

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics