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Continuous ambulatory hand force monitoring during manual materials handling using instrumented force shoes and an inertial motion capture suit
Affiliation:1. Department of Human Movement Sciences, Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands;2. Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA;3. Liberty Mutual Research Institute for Safety, Hopkinton, MA, USA;4. Department of Industrial Engineering & Engineering Management, National Tsing Hua University, Taiwan, ROC;5. Department of Physical Therapy, Movement, and Rehabilitation Sciences, Northeastern University, Boston, MA, USA;1. Department of Sport Science, Otto von Guericke University Magdeburg, Germany;2. Department of Exercise Physiology, Friedrich Schiller University Jena, Germany;1. Department of Biomedical Engineering, University of Kentucky, Lexington, KY 40506, USA;2. Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA 24061, USA;1. Department of Sport Science, Otto von Guericke University Magdeburg, Germany;2. Department of Sport Science, Friedrich Schiller University Jena, Germany;1. Department of Mechanical Engineering, University of Alberta, 6-23 Mechanical Engineering Edmonton, AB, Canada T6G 2G8;2. Faculty of Medicine, University of Alberta, 5005 Katz Building Edmonton, AB, Canada T5G 0B7;3. Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, 9500 Euclid Avenue ND20, Cleveland, OH, 44195, United States;4. Advanced Platform Technology Center of Excellence, Louis Stokes Cleveland Department of Veterans Affairs Medical Center, 10701 E. Boulevard, 151 W/APT, Cleveland, OH, 44106, United States;5. Department of Mechanical Engineering University of Alberta, 5-08T Mechanical Engineering Edmonton, AB, Canada T6G 2G8;1. Department of Sport Science, Otto von Guericke University Magdeburg, Brandenburger Str. 9, Magdeburg 39104, Germany;2. Institute for Biomechanics, ETH Zürich, Wolfgang-Pauli-Str. 10, Zurich 8093, Switzerland
Abstract:Hand forces (HFs) are commonly measured during biomechanical assessment of manual materials handling; however, it is often a challenge to directly measure HFs in field studies. Therefore, in a previous study we proposed a HF estimation method based on ground reaction forces (GRFs) and body segment accelerations and tested it with laboratory equipment: GFRs were measured with force plates (FPs) and segment accelerations were measured using optical motion capture (OMC). In the current study, we evaluated the HF estimation method based on an ambulatory measurement system, consisting of inertial motion capture (IMC) and instrumented force shoes (FSs).Sixteen participants lifted and carried a 10-kg crate from ground level while 3D full-body kinematics were measured using OMC and IMC, and 3D GRFs were measured using FPs and FSs. We estimated 3D hand force vectors based on: (1) FP+OMC, (2) FP+IMC and (3) FS+IMC. We calculated the root-mean-square differences (RMSDs) between the estimated HFs to reference HFs calculated based on crate kinematics and the GRFs of a FP that the crate was lifted from.Averaged over subjects and across 3D force directions, the HF RMSD ranged between 10-15N when using the laboratory equipment (FP + OMC), 11-18N when using the IMC instead of OMC data (FP+IMC), and 17-21N when using the FSs in combination with IMC (FS + IMC). This error is regarded acceptable for the assessment of spinal loading during manual lifting, as it would results in less than 5% error in peak moment estimates.
Keywords:Wearable sensors  Occupational biomechanics  Ergonomics  Inertial measurement unit (IMU)  Spine
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