Modeling the Influence of the Human Form and Ambulation Context on Moment- and Power-Generating Abilities of Soft Hip-Flexion Exosuits
Modeling the Influence of the Human Form and Ambulation Context on Moment- and Power-Generating Abilities of Soft Hip-Flexion Exosuits
复制标题
模拟人体形态和行走环境对软髋屈曲外装套装的力矩和发电能力的影响
DOI:
10.1109/icorr55369.2022.9896601
复制
发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Fey, Nicholas P.
中科院分区:
文献类型:
--
作者:
Neuman, Ross M.;Fey, Nicholas P.
Exosuits are close-fitting devices, which are meant to be worn without restricting the motion of the user in the way that a rigid device would. These soft devices augment lower-limb biomechanics by using flexible, joint-spanning linear elements that are actuated to create moments about the spanned joints, effectively using the human body as the mechanical transmission from input to output. Consequently, the size of the moment arm that an exosuit creates about a given joint is dependent on the size and shape of the user, as well as their individualized gait patterns that depend on the terrain they are negotiating. These highly-variable human and environmental factors affect the performance of all soft exosuits (both passive and active), and the ability to quantify these effects would benefit assistive device development. In this work, we present a system for modeling the effects of user body mass index, biological sex, and gait kinematics on task-dependent exosuit performance. We use this system to estimate the performance of a hip-flexion exosuit over a range of body shapes obtained from a database of 3D human surface models, and with gait kinematics from physical experiments. Our results demonstrate that the user's body mass index, sex, and gait kinematics are necessary factors to consider when designing an exosuit for personalized assistance. This type of analysis can allow device developers to account for the unique shape and gait patterns of individuals, either in generating new designs, developing online control algorithms, or in configuring devices for specific individuals.
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影响因子:
5.1
作者:
Neuman RM;Shearin SM;McCain KJ;Fey NP
通讯作者:
Fey NP
DOI:
--
发表时间:
2014
期刊:
影响因子:
--
作者:
M. Reed;U. Raschke;Rishi Tirumali;M. Parkinson
通讯作者:
M. Parkinson
影响因子:
2.8
作者:
M. Spanjaard;Neil D. Reeves;J. Dieen;V. Baltzopoulos;C. Maganaris
通讯作者:
C. Maganaris
影响因子:
7.7
作者:
Kejia Wang;K. Delbaere;M. Brodie;N. Lovell;L. Kark;S. Lord;S. Redmond
通讯作者:
Kejia Wang;K. Delbaere;M. Brodie;N. Lovell;L. Kark;S. Lord;S. Redmond
影响因子:
5.1
作者:
Panizzolo, Fausto A.;Bolgiani, Chiara;Marcolin, Giuseppe
通讯作者:
Marcolin, Giuseppe