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Kendricks KD, Taylor A, Barki A, et al. A Deterministic Model of Human Motion Based on Algebraic Techniques and a Sensor Network to Simulate Shoulder Kinematics. J Adv Biotechnol Bioeng. 2015;3(1):1-6doi: 10.12970/2311-1755.2015.03.01.1.
Kendricks, K. D., Taylor, A., Barki, A., Tuttle, R. F., & Kohles, S. S. (2015). A Deterministic Model of Human Motion Based on Algebraic Techniques and a Sensor Network to Simulate Shoulder Kinematics. Journal of advanced biotechnology and bioengineering, 3(1), 1-6. https://doi.org/10.12970/2311-1755.2015.03.01.1
Kendricks, Kimberly D, et al. "A Deterministic Model of Human Motion Based on Algebraic Techniques and a Sensor Network to Simulate Shoulder Kinematics." Journal of advanced biotechnology and bioengineering vol. 3,1 (2015): 1-6. doi: https://doi.org/10.12970/2311-1755.2015.03.01.1
Kendricks KD, Taylor A, Barki A, Tuttle RF, Kohles SS. A Deterministic Model of Human Motion Based on Algebraic Techniques and a Sensor Network to Simulate Shoulder Kinematics. J Adv Biotechnol Bioeng. 2015 Mar;3(1):1-6. doi: 10.12970/2311-1755.2015.03.01.1. PMID: 34778446; PMCID: PMC8589320.
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J Adv Biotechnol Bioeng. 2015 Mar;3(1):1-6. doi: 10.12970/2311-1755.2015.03.01.1.

A Deterministic Model of Human Motion Based on Algebraic Techniques and a Sensor Network to Simulate Shoulder Kinematics.

Journal of advanced biotechnology and bioengineering

Kimberly D Kendricks, Anthony Taylor, Anum Barki, Ronald F Tuttle, Sean S Kohles

Affiliations

  1. College of Sciences, University of Nevada-Las Vegas, Las Vegas, NV 89154, USA.
  2. Department of Mathematics and Computer Science, Central State University, Wilberforce, OH 45384, USA.
  3. Department of Engineering Physics, Air Force Institute of Technology, Wright Patterson Air Force Base, Ohio 45433, USA.
  4. Division of Biomaterials & Biomechanics, Department of Restorative Dentistry, Oregon Health & Science University, Portland, Oregon 97201, USA.

PMID: 34778446 PMCID: PMC8589320 DOI: 10.12970/2311-1755.2015.03.01.1

Abstract

Limiting the quantitative characterization of ambulatory mobility to only the two-dimensional sagittal plane through the investigation of key kinematic parameters, may still inform scientists and bioengineers of critical elements of joint locomotion. This paper presents the initial validation of a deterministic biomechanical gait model that was derived from an inverse kinematic analysis of three-dimensional upper extremity movement. Algebraic methods were applied to generate shoulder flexion and extension angles during a single gait cycle during normal walking. The direct kinematic measurements from a motion capture system were analyzed and compared to the predicted measurements from the algebraic model for eight healthy, human subjects. The predicted results over all subjects varied from the actual joint angle measurements with a nominal amount of mean error (23%), while correlations were quite strong (mean R

Keywords: Gait model; inverse kinematics; motion analysis; shoulder biomechanics

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