Prediction accuracy in estimating joint angle trajectories using a video posture coding method for sagittal lifting tasks-Reference-Cited by-同舟云学术

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

Published:2010-07-22 Issue:8 Volume:53 Page:1039-1047
ISSN:0014-0139
Container-title:Ergonomics
language:en
Short-container-title:Ergonomics

Author:

Chang Chien-Chi¹,McGorry Raymond W.¹,Lin Jia-hua¹,Xu Xu²,Hsiang Simon M.³

Affiliation:

1. a Liberty Mutual Research Institute for Safety , 71 Frankland Road, Hopkinton, MA, 01748, USA

2. b Department of Environmental Health , Harvard School of Public Health , 665 Huntington Avenue, Boston, MA, 02139, USA

3. c Department of Industrial Engineering , North Carolina State University , 400 Daniels Hall, Raleigh, NC, 27695, USA

Publisher

Informa UK Limited

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Human Factors and Ergonomics

Link

https://www.tandfonline.com/doi/pdf/10.1080/00140139.2010.489963

Reference34 articles.

1. Evaluation of a biomechanical simulation model for sagittal plane lifting

2. PATH: A work sampling-based approach to ergonomic job analysis for construction and other non-repetitive work

3. Inter-rater reliability of output measures for a posture matching assessment approach: a pilot study with food service workers

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4. Machine Learning Model to Estimate Net Joint Moments during Lifting Task Using Wearable Sensors: A Preliminary Study for Design of Exoskeleton Control System;Applied Sciences;2021-12-10

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