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Mechanical Design with Experimental Verification of a Lightweight Exoskeleton Chair

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摘要 In this study,a human-chair model was developed as the basis for a wearable-chair design.A prototype chair,HUST-EC,based on the model was fabricated and evaluated.Employing the optimization under the golden divisional method,an optimized simulation of the operating mode with the lowest chair height was implemented.A novel multi-link support structure has been established with parameters optimized using Matlab software.The stress analysis of the solid models was conducted to ensure the adequate support from the designed chair for the user.Ten subjects participated in the evaluation experiment,who performed both static tasks and dynamic tasks.The experimental results consisted of subjective evaluation and objective evaluation.The experimental data demonstrate that(1)the HUST-EC can effectively reduce the activation level of related muscles at a variety of tasks;(2)the plantar pressure was reduced by 54%–67%;(3)the angle between the upper body and the vertical axis was reduced by 59%–77%;(4)the subjective scores for chair comfortability,portability,and stability were all higher than 7.The results further revealed that the designed chair can reduce the musculoskeletal burden and may improve work efficiency.
出处 《Journal of Bionic Engineering》 SCIE EI CSCD 2021年第2期319-332,共14页 仿生工程学报(英文版)
基金 This work is partially supported by the National Natural Science Foundation of China(NSFC)under grant numbers 51705163 the Fundamental Research Funds for the Central Universities(HUST)under grand numbers 2019kfyXKJC003 and 2019JYCXJJ022.
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  • 1俞昌东,姜力,黄海,史士才.残疾人假手的仿人和欠驱动机构研究[J].机械设计,2007,24(9):44-46. 被引量:2
  • 2James N. Ingram,Konrad P. K?rding,Ian S. Howard,Daniel M. Wolpert.The statistics of natural hand movements[J]. Experimental Brain Research . 2008 (2)
  • 3J.L. Pons,E. Rocon,R. Ceres,D. Reynaerts,B. Saro,S. Levin,W. Van Moorleghem.The MANUS-HAND Dextrous Robotics Upper Limb Prosthesis: Mechanical and Manipulation Aspects[J]. Autonomous Robots . 2004 (2)
  • 4Corinna Cortes,Vladimir Vapnik.Support-Vector Networks[J]. Machine Learning . 1995 (3)
  • 5Ambrose R O,Aldridge H,Askew R S,Burridge R R,Bluethmann W,Diftler M,Lovchik C,Magruder D,Rehnmark F.Robonaut:Nasa‘s space humanoid. IEEE Intelligent Systems and their Applications . 2000
  • 6Biagiotti L,Lotti F,Melchiorri C,Vassura G.How Far is the Human Hand? A Review on Anthroponorphic Robotic End-Effectors. http://www-lar.deis.unibo.it/woda/data/deis-lar-publications /3cbd.Document.pdf . 2002
  • 7Bicchi A.Hands for dexterous manipulation and robust grasping:A difficult road toward simplicity. IEEE Transactions on Robotics and Automation . 2000
  • 8Hollerbach J M. Workshop on the Design and Control of Dexterous Hands . 1982
  • 9Zollo L,Roccella S,Guglielmelli E,Carrozza M C,Dario P.Biomechatronic design and control of an anthropomorphic artificial hand for prosthetic and robotic applications. IEEE ASME Transactions on Mechatronics . 2007
  • 10De Luca C J.The use of electromyography in biomechanics. Journal of Applied Biomechanics . 1997

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