A Neuromechanical Model-Based Strategy to Estimate the Operator’s Payload in Industrial Lifting Tasks
Author:
Affiliation:
1. Department of Computer Science, University of Verona, Verona, Italy
2. Department of Biomechanical Engineering, Neuromechanical Modeling and Engineering Laboratory, University of Twente, Enschede, The Netherlands
Funder
European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Program, as part of the ERC Starting Grant INTERACT
Socio-Physical Interaction Skills for Cooperative Human Robot Systems in Agile Production (SOPHIA) Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation
Link
http://xplorestaging.ieee.org/ielx7/7333/10031624/10323529.pdf?arnumber=10323529
Reference41 articles.
1. Estimation of Inertial Parameters of Manipulator Loads and Links
2. Active exoskeleton reduces erector spinae muscle activity during lifting
3. A musculoskeletal model of human locomotion driven by a low dimensional set of impulsive excitation primitives
4. Wearable stooping-assist device in reducing risk of low back disorders during stooped work
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1. Upper-Limb and Low-Back Load Analysis in Workers Performing an Actual Industrial Use-Case with and without a Dual-Arm Collaborative Robot;Safety;2024-09-11
2. Exposures to select risk factors can be estimated from a continuous stream of inertial sensor measurements during a variety of lifting-lowering tasks;Ergonomics;2024-04-22
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