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Estimating Sit-to-Stand Dynamics Using a Single Depth Camera

delete2019-11-01
delete12
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OA
AI
R
Robert Peter Matthew *
S
Sarah Seko
J
Jeannie F. Bailey
R
Ruzena Bajcsy
J
Jeffrey C. Lotz
DOI:10.1109/JBHI.2019.2897245delete
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摘要

摘要

En 中文
Kinetic and dynamic motion analysis provides quantitative, functional assessments of human ability that are unobtainable through static imaging methods or subjective surveys. While biomechanics facilities are equipped to perform this measurement and analysis, the clinical translation of these methods is limited by the specialized skills and equipment needed. This paper presents and validates a method for estimating dynamic effects such as joint torques and body momenta using a single depth camera. An allometrically scaled, sagittal plane dynamic model is used to estimate the joint torques at the ankles, knees, hips, and low back, as well as the torso momenta, and shear and normal loads at the L5-S1 disk. These dynamic metrics are applied to the sit-to-stand motion and validated against a gold-standard biomechanical system consisting of full-body active motion-capture and force-sensing systems. The metrics obtained from the proposed method were found to have excellent concordance with peak metrics that are consistent with prior biomechanical studies. This suggests the feasibility of using this system for rapid clinical assessment, with applications in diagnostics, longitudinal tracking, and quantifying patient recovery.
Keyword:
Dynamics
Biomechanics
Hip
Kinematics
Cameras
Informatics
Biological system modeling
Depth-camera
rigid-body model
dynamics
sit-to-stand
biomechanics
lower lumbar loads
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期刊

IEEE Journal of Biomedical and Health Informatics 封面图
IEEE Journal of Biomedical and Health Informatics
IF:
6.8
论文数:
4.5K
被引数:
2.0W

机构

U
University of California Berkeley
学者数:
3.5W
论文数: 2.8W
被引数: 11.3W
University of California System 封面图
University of California System
学者数:
37.5W
论文数: 33.7W
被引数: 6.6K
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