Equations for estimating the static supportive torque provided by upper-limb exoskeletons

被引:5
|
作者
Watterworth, Michael W. B. [1 ]
Dharmaputra, Ryuta [1 ]
Porto, Ryan [2 ]
La Delfa, Nicholas J. [1 ]
Cort, Joel A. [3 ]
机构
[1] Ontario Tech Univ, Oshawa, ON, Canada
[2] Gen Motors Co, Global Ergon Lab, Mfg Engn, Detroit, MI USA
[3] Univ Windsor, Windsor, ON, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Exoskeleton; Dynamometry; Reliability; RELIABILITY;
D O I
10.1016/j.apergo.2023.104092
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Upper-limb exoskeletons are gaining traction in industrial work environments. However, other than advertised general specifications (e.g., peak support angle), the support torque provided throughout the reach envelope is largely unknown to end users. As such, this paper describes a methodology for measuring the specific supportive torque provided by upper-limb exoskeletons. The support of four commercially available passive upper-limb exoskeletons was quantified using an isokinetic dynamometer for all support ranges and levels (n = 68). Tests were repeated four times to determine between-session reliability. Intraclass correlation coefficients demonstrated 'Good' to 'Excellent' reliability, except for one condition. Polynomial regression equations were developed for each condition to predict exoskeleton support for any upper-limb elevation angle between 10 degrees and 180 degrees. These equations can be used to approximate upper-limb exoskeleton support in digital human modeling assessments, or to aid selection of exoskeleton settings specific to a worker's anthropometry and work task location.
引用
收藏
页数:12
相关论文
共 49 条
  • [1] Upper-Limb Exoskeletons for Stroke Rehabilitation
    Ambrosini, Emilia
    Dalla Gasperina, Stefano
    Gandolla, Marta
    Pedrocchi, Alessandra
    XV MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING - MEDICON 2019, 2020, 76 : 1722 - 1728
  • [2] Active exoskeletons for upper-limb motion assist
    Kiguchi, Kazuo
    INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS, 2007, 4 (03) : 607 - 624
  • [3] Learning by Demonstration for Motion Planning of Upper-Limb Exoskeletons
    Lauretti, Clemente
    Cordella, Francesca
    Ciancio, Anna Lisa
    Trigili, Emilio
    Catalan, Jose Maria
    Badesa, Francisco Javier
    Crea, Simona
    Pagliara, Silvio Marcello
    Sterzi, Silvia
    Vitiello, Nicola
    Aracil, Nicolas Garcia
    Zollo, Loredana
    FRONTIERS IN NEUROROBOTICS, 2018, 12
  • [4] Proportional EMG control for upper-limb powered exoskeletons
    Lenzi, T.
    De Rossi, S. M. M.
    Vitiello, N.
    Carrozza, M. C.
    2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2011, : 628 - 631
  • [5] Adaptive weight compensation in Assistive Upper-Limb Exoskeletons: an EMG Analysis
    Salman, Nada
    Benali, Abderraouf
    2024 33RD IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, ROMAN 2024, 2024, : 387 - 392
  • [6] Ergonomics assessment of passive upper-limb exoskeletons in an automotive assembly plant
    Iranzo, Sofia
    Piedrabuena, Alicia
    Iordanov, Daniel
    Martinez-Iranzo, Ursula
    Belda-Lois, Juan-Manuel
    APPLIED ERGONOMICS, 2020, 87
  • [7] Review on Patient-Cooperative Control Strategies for Upper-Limb Rehabilitation Exoskeletons
    Dalla Gasperina, Stefano
    Roveda, Loris
    Pedrocchi, Alessandra
    Braghin, Francesco
    Gandolla, Marta
    FRONTIERS IN ROBOTICS AND AI, 2021, 8
  • [8] Uncertainty-aware automated assessment of the arm impedance with upper-limb exoskeletons
    Tesfazgi, Samuel
    Sangouard, Ronan
    Endo, Satoshi
    Hirche, Sandra
    FRONTIERS IN NEUROROBOTICS, 2023, 17
  • [9] A number synthesis method of the self-adapting upper-limb rehabilitation exoskeletons
    Li, Jianfeng
    Zhang, Ziqiang
    Tao, Chunjing
    Ji, Run
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2017, 14 (03):
  • [10] Evaluation of the regional anaesthesia service provided for upper-limb plastic surgery
    Spodniewska, E.
    Murtagh, L.
    Mukhtar, K.
    ANAESTHESIA, 2022, 77 : 34 - 34