2023
DOI: 10.1016/j.engappai.2022.105500
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Synthesis of a six-bar mechanism for generating knee and ankle motion trajectories using deep generative neural network

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Cited by 20 publications
(11 citation statements)
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“…According to the kinematic scheme in Figure 10, the second mechanism linkage which actuates the ankle joint is shown separately, in Figure 12. A similar research was developed in [19]. From Figure 12, it can be seen that B1 was located at the level of the local coordinate system origin, B3 and B5 were revolute joints under the base frame.…”
Section: Stephenson III Six-barmentioning
confidence: 75%
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“…According to the kinematic scheme in Figure 10, the second mechanism linkage which actuates the ankle joint is shown separately, in Figure 12. A similar research was developed in [19]. From Figure 12, it can be seen that B1 was located at the level of the local coordinate system origin, B3 and B5 were revolute joints under the base frame.…”
Section: Stephenson III Six-barmentioning
confidence: 75%
“…According to the kinematic scheme in Figure 10, the second mechanism linkage which actuates the ankle joint is shown separately, in Figure 12. A similar research was developed in [19].…”
Section: Stephenson III Six-barmentioning
confidence: 92%
See 2 more Smart Citations
“…Therefore, many intelligent algorithms are applied in the design of mechanisms [ [17] , [18] , [19] ]. For example, Kapsalyamov et al [ 20 ] proposed Deep Generative Neural Networks (DGNN) to obtain a set of optimal dimensions and parameters for the Stephenson-III 6-bar linkage-based gait exoskeleton. The proposed methodology demonstrates high efficacy in determining the linkage parameters for various target trajectories.…”
Section: Introductionmentioning
confidence: 99%