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SEMG and KNN Based Human Motion Intention Recognition for Active and Safe Neurorehabilitation.

, , , , , , and . Aust. J. Intell. Inf. Process. Syst., 15 (3): 43-52 (2019)

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Dynamics Based Fuzzy Adaptive Impedance Control for Lower Limb Rehabilitation Robot., , , , , , and . ICONIP (7), volume 11307 of Lecture Notes in Computer Science, page 316-326. Springer, (2018)SEMG and KNN Based Human Motion Intention Recognition for Active and Safe Neurorehabilitation., , , , , , and . Aust. J. Intell. Inf. Process. Syst., 15 (3): 43-52 (2019)Position Based Impedance Control Strategy for a Lower Limb Rehabilitation Robot., , , , , , , and . EMBC, page 437-441. IEEE, (2019)Learning Regional Attention Convolutional Neural Network for Motion Intention Recognition Based on EEG Data., , , , , , , and . IJCAI, page 1570-1576. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Neural Correlates of Single-Task Versus Cognitive-Motor Dual-Task Training., , , , and . IEEE Trans. Cogn. Dev. Syst., 14 (2): 532-540 (2022)Engagement Enhancement Based on Human-in-the-Loop Optimization for Neural Rehabilitation., , , , and . Frontiers Neurorobotics, (2020)Adaptive Estimation of Human-Robot Interaction Force for Lower Limb Rehabilitation., , , , , , and . ICONIP (4), volume 1142 of Communications in Computer and Information Science, page 540-547. Springer, (2019)Prediction of Human Voluntary Torques Based on Collaborative Neuromusculoskeletal Modeling and Adaptive Learning., , , , , , , and . IEEE Trans. Ind. Electron., 68 (6): 5217-5226 (2021)GPR and SPSO-CG based gait pattern generation for subject-specific training., , , , , , and . Sci. China Inf. Sci., (2021)Relative torque contribution based model simplification for robotic dynamics identification., , , , , , and . SSCI, page 1-7. IEEE, (2017)