Literature DB >> 34254566

Model-Based Comparison of Passive and Active Assistance Designs in an Occupational Upper Limb Exoskeleton for Overhead Lifting.

Xianlian Zhou1, Liying Zheng2.   

Abstract

OCCUPATIONAL APPLICATIONSIn recent years, various upper limb exoskeletons have been developed aiming to support industrial workers for a range of tasks and reduce risks of work-related musculoskeletal disorders. Most commercially available upper limb exoskeletons are passive systems that use compliant elements such as springs or elastic components to store and release energy to assist the user's motion. In contrast, many active exoskeletons, which are typically comprised of one or more powered actuators to provide joint assistance, are still in the research and development stages. Nevertheless, the functions and efficacy of various exoskeleton systems need to be further compared and assessed. This study presents a model-based approach to evaluate different designs of passive and active assistance and demonstrates the benefits of both assistance methods in an overhead lifting task. In addition, the modeling and simulation indicate the potential advantages of using the active assistance, based on electromyography.

Entities:  

Keywords:  Overhead lifting; human-exoskeleton interaction; musculoskeletal model; upper limb exoskeleton

Mesh:

Year:  2021        PMID: 34254566      PMCID: PMC8789934     

Source DB:  PubMed          Journal:  IISE Trans Occup Ergon Hum Factors        ISSN: 2472-5838


  27 in total

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Authors:  Pauline Maurice; Jernej Camernik; Dasa Gorjan; Benjamin Schirrmeister; Jonas Bornmann; Luca Tagliapietra; Claudia Latella; Daniele Pucci; Lars Fritzsche; Serena Ivaldi; Jan Babic
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Authors:  Thomas Schmalz; Jasmin Schändlinger; Marvin Schuler; Jonas Bornmann; Benjamin Schirrmeister; Andreas Kannenberg; Michael Ernst
Journal:  Int J Environ Res Public Health       Date:  2019-11-29       Impact factor: 3.390

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Authors:  Simona Del Ferraro; Tiziana Falcone; Alberto Ranavolo; Vincenzo Molinaro
Journal:  Int J Environ Res Public Health       Date:  2020-10-09       Impact factor: 3.390

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