Prediction accuracy in estimating joint angle trajectories using a video posture coding method for sagittal lifting tasks

Ergonomics
Chien-Chi ChangS M Hsiang

Abstract

This study investigated prediction accuracy of a video posture coding method for lifting joint trajectory estimation. From three filming angles, the coder selected four key snapshots, identified joint angles and then a prediction program estimated the joint trajectories over the course of a lift. Results revealed a limited range of differences of joint angles (elbow, shoulder, hip, knee, ankle) between the manual coding method and the electromagnetic motion tracking system approach. Lifting range significantly affected estimate accuracy for all joints and camcorder filming angle had a significant effect on all joints but the hip. Joint trajectory predictions were more accurate for knuckle-to-shoulder lifts than for floor-to-shoulder or floor-to-knuckle lifts with average root mean square errors (RMSE) of 8.65 degrees , 11.15 degrees and 11.93 degrees , respectively. Accuracy was also greater for the filming angles orthogonal to the participant's sagittal plane (RMSE = 9.97 degrees ) as compared to filming angles of 45 degrees (RMSE = 11.01 degrees ) or 135 degrees (10.71 degrees ). The effects of lifting speed and loading conditions were minimal. To further increase prediction accuracy, improved prediction algorithms and/or bet...Continue Reading

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Citations

Dec 25, 2012·Applied Ergonomics·Nicolas VignaisFrédéric Marin
Jul 26, 2011·Journal of Biomechanics·Pieter CoenenJaap H van Dieën
Apr 9, 2020·Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine·Ritwik RakshitJames Yang
Jul 6, 2020·Work : a Journal of Prevention, Assessment, and Rehabilitation·Ranit Eldar, Dafna Fisher-Gewirtzman
Jan 7, 2017·Work : a Journal of Prevention, Assessment, and Rehabilitation·Danielle L GyemiDavid M Andrews
Jan 12, 2021·Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine·Rahid ZamanJames Yang

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Software Mentioned

SAS
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