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      Comparative Analysis of Inertial Sensor to Optical Motion Capture System Performance in Push-Pull Exertion Postures

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          Abstract

          This study examined interactions between inertial sensor (IS) performance and physical task demand on posture kinematics in a two-handed force exertion task. Fifteen male individuals participated in a laboratory experiment that involved exerting a two-handed isometric horizontal force on an instrumented height-adjustable handle. Physical task demand was operationalized by manipulating vertical handle height, target force magnitude, and force direction. These factors were hypothesized to influence average estimates of torso flexion angle measured using inertial sensors and an optical motion capture (MC) system, as well as the root mean squared errors (RMSE) between instrumentation computed over a 3s interval of the force exertion task. Results indicate that lower handle heights and higher target force levels were associated with increased torso and pelvic flexion in both, push and pull exertions. Torso flexion angle estimates obtained from IS and MC did not differ significantly. However, RMSE increased with target force intensity suggesting potential interactive effects between measurement error and physical task demand.

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          Author and article information

          Journal
          9420718
          38841
          Proc Hum Factors Ergon Soc Annu Meet
          Proc Hum Factors Ergon Soc Annu Meet
          Proceedings of the Human Factors and Ergonomics Society ... Annual Meeting. Human Factors and Ergonomics Society. Annual Meeting
          1071-1813
          2169-5067
          8 December 2017
          15 September 2016
          September 2016
          22 December 2017
          : 60
          : 1
          : 970-974
          Affiliations
          Center for Ergonomics, Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor
          Article
          PMC5740233 PMC5740233 5740233 hhspa925223
          10.1177/1541931213601224
          5740233
          29276368
          5dbf42aa-d62f-4ef0-8977-5b202f7a164d
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