A Gait Trajectory Control Scheme Through Successive Approximation Based on Radial Basis Function Neural Networks for the Lower Limb Exoskeleton Robot

[1]  James J. Carroll,et al.  Approximation of nonlinear systems with radial basis function neural networks , 2001, IEEE Trans. Neural Networks.

[2]  Michael J. Black,et al.  On Human Motion Prediction Using Recurrent Neural Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[3]  Guoan Li,et al.  A global optimization method for prediction of muscle forces of human musculoskeletal system. , 2006, Journal of biomechanics.

[4]  W. Charoensuk,et al.  Prediction gait during ascending stair by using artificial neural networks , 2012, The 5th 2012 Biomedical Engineering International Conference.

[5]  Homayoon Kazerooni,et al.  The development and testing of a human machine interface for a mobile medical exoskeleton , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[6]  Guy Bessonnet,et al.  Parametric-based dynamic synthesis of 3D-gait , 2009, Robotica.

[7]  Ricardo Carelli,et al.  Autonomous mobile robots navigation using RBF neural compensator , 2011 .

[8]  Trieu Phat Luu,et al.  An individual-specific gait pattern prediction model based on generalized regression neural networks. , 2014, Gait & posture.

[9]  Xiaoli Chu,et al.  A Learning-Based Hierarchical Control Scheme for an Exoskeleton Robot in Human–Robot Cooperative Manipulation , 2020, IEEE Transactions on Cybernetics.

[10]  Karim Abdel-Malek,et al.  Neural network for dynamic human motion prediction , 2016, Expert Syst. Appl..

[11]  Andreas Weber,et al.  Centralized Networks to Generate Human Body Motions , 2017, Sensors.

[12]  Guy Bessonnet,et al.  Optimal Gait Synthesis of a Seven-Link Planar Biped , 2004, Int. J. Robotics Res..

[13]  Yannick Aoustin,et al.  Optimal reference trajectories for walking and running of a biped robot , 2001, Robotica.

[14]  Wynne W. Chin,et al.  A Comparison of Approaches for the Analysis of Interaction Effects Between Latent Variables Using Partial Least Squares Path Modeling , 2010 .

[15]  Yujiang Xiang,et al.  Optimization-based prediction of asymmetric human gait. , 2011, Journal of biomechanics.

[16]  H. Kazerooni,et al.  Biomechanical design of the Berkeley lower extremity exoskeleton (BLEEX) , 2006, IEEE/ASME Transactions on Mechatronics.

[17]  Marko Ackermann,et al.  Optimality principles for model-based prediction of human gait. , 2010, Journal of biomechanics.

[18]  A. Ruina,et al.  Multiple walking speed-frequency relations are predicted by constrained optimization. , 2001, Journal of theoretical biology.

[19]  Danica Kragic,et al.  Deep Representation Learning for Human Motion Prediction and Classification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[20]  Karim Djouani,et al.  Toward Lower Limbs Functional Rehabilitation Through a Knee-Joint Exoskeleton , 2017, IEEE Transactions on Control Systems Technology.

[21]  Lei Ren,et al.  Predictive modelling of human walking over a complete gait cycle. , 2007, Journal of biomechanics.

[22]  Hadi Memarian,et al.  Comparison between Multi-Layer Perceptron and Radial Basis Function Networks for Sediment Load Estimation in a Tropical Watershed , 2012 .

[23]  Hyun-Chul Kim,et al.  Statistical method for prediction of gait kinematics with Gaussian process regression. , 2014, Journal of biomechanics.

[24]  Jingang Yi,et al.  A Review on Human-exoskeleton Coordination towards Lower limb robotic exoskeleton Systems , 2019, Int. J. Robotics Autom..

[25]  Matthew Johnson-Roberson,et al.  Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3-D Pedestrian Pose and Gait Prediction , 2018, IEEE Robotics and Automation Letters.

[26]  Yoshiyuki Sankai,et al.  HAL: Hybrid Assistive Limb Based on Cybernics , 2007, ISRR.

[27]  M. Pandy,et al.  Dynamic optimization of human walking. , 2001, Journal of biomechanical engineering.

[28]  Sung-Kwun Oh,et al.  Polynomial-based radial basis function neural networks (P-RBF NNs) realized with the aid of particle swarm optimization , 2011, Fuzzy Sets Syst..

[29]  Richard R Neptune,et al.  Modular control of human walking: a simulation study. , 2009, Journal of biomechanics.

[30]  J Y Goulermas,et al.  Regression techniques for the prediction of lower limb kinematics. , 2005, Journal of biomechanical engineering.