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Published on: May 8, 2014
Estimating dynamic external hand forces during manual materials handling based on ground reaction forces and body
Gert S Faber1, Chien-Chi Chang, Idsart Kingma
1Department of Environmental Health, Harvard School of Public Health, 665 Huntington Avenue, Boston 02115, MA, USA; Liberty Mutual Research Institute for Safety, 71 Frankland Road, Hopkinton 01748, MA, USA; Research Institute MOVE, Faculty of Human Movement Sciences, VU University Amsterdam, Van der Boechorststraat 9, 1081 BT Amsterdam, The Netherlands.
Estimating hand forces using ground reaction forces and body accelerations is feasible for manual materials handling studies. This novel method significantly improves accuracy compared to ignoring body segment accelerations.
Area of Science:
- Biomechanics
- Ergonomics
- Occupational Health
Background:
- Direct measurement of hand forces is often impractical in manual materials handling (MMH) assessments.
- Existing methods may not be suitable for field or specific laboratory settings like patient handling.
Purpose of the Study:
- To propose and evaluate a novel method for estimating hand forces during MMH tasks.
- To assess the accuracy of this estimation method using ground reaction forces (GRFs) and body segment accelerations.
Main Methods:
- Ten male subjects performed a manual lifting/carrying task.
- 3D full body kinematics were captured using an optoelectronic motion tracking system.
- 3D GRFs were measured using a force plate, and 3D hand forces were measured using an instrumented box.
Main Results:
- The proposed method estimated 3D hand forces by subtracting body segment weight and acceleration forces from measured GRFs.
- Root-mean-square differences (RMSD) between estimated and measured hand forces ranged from 11 to 27N.
- Ignoring segment accelerations resulted in significantly higher errors (RMSD: 21–101N).
Conclusions:
- The novel hand force estimation method based on GRFs and body accelerations demonstrates good performance.
- Accounting for body segment accelerations is crucial for accurate hand force estimation in MMH.
- Further validation with ambulatory field measurement systems is recommended.
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