Search Results - "Hayashibe, Mitsuhiro"
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1
Sparse identification of Lagrangian for nonlinear dynamical systems via proximal gradient method
Published in Scientific reports (16-05-2023)“…The autonomous distillation of physical laws only from data is of great interest in many scientific fields. Data-driven modeling frameworks that adopt sparse…”
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2
Evoked Electromyographically Controlled Electrical Stimulation
Published in Frontiers in neuroscience (14-07-2016)“…Time-variant muscle responses under electrical stimulation (ES) are often problematic for all the applications of neuroprosthetic muscle control. This…”
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3
A Survey of Sim-to-Real Transfer Techniques Applied to Reinforcement Learning for Bioinspired Robots
Published in IEEE transaction on neural networks and learning systems (01-07-2023)“…The state-of-the-art reinforcement learning (RL) techniques have made innumerable advancements in robot control, especially in combination with deep neural…”
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4
Synergetic synchronized oscillation by distributed neural integrators to induce dynamic equilibrium in energy dissipation systems
Published in Scientific reports (13-10-2022)“…The synchronization phenomenon is common to many natural mechanical systems. Joint friction and damping in humans and animals are associated with energy…”
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5
Identifying essential factors for energy-efficient walking control across a wide range of velocities in reflex-based musculoskeletal systems
Published in PLoS computational biology (01-01-2024)“…Humans can generate and sustain a wide range of walking velocities while optimizing their energy efficiency. Understanding the intricate mechanisms governing…”
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Self-organizing neural network for reproducing human postural mode alternation through deep reinforcement learning
Published in Scientific reports (02-06-2023)“…A self-organized phenomenon in postural coordination is essential for understanding the auto-switching mechanism of in-phase and anti-phase postural…”
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Integrated Quantitative Evaluation of Spatial Cognition and Motor Function with HoloLens Mixed Reality
Published in Sensors (Basel, Switzerland) (01-01-2024)“…The steady increase in the aging population worldwide is expected to cause a shortage of doctors and therapists for older people. This demographic shift…”
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8
A Synergetic Brain-Machine Interfacing Paradigm for Multi-DOF Robot Control
Published in IEEE transactions on systems, man, and cybernetics. Systems (01-07-2016)“…This paper proposes a novel brain-machine interfacing (BMI) paradigm for control of a multijoint redundant robot system. Here, the user would determine the…”
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Synergy-Space Recurrent Neural Network for Transferable Forearm Motion Prediction from Residual Limb Motion
Published in Sensors (Basel, Switzerland) (22-04-2023)“…Transhumeral amputees experience considerable difficulties with controlling a multifunctional prosthesis (powered hand, wrist, and elbow) due to the lack of…”
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10
Imitation Learning with Time-Varying Synergy for Compact Representation of Spatiotemporal Structures
Published in IEEE access (01-01-2023)“…Imitation learning is a promising approach for robots to learn complex motor skills. Recent techniques allow robots to learn long-term movements comprising…”
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Motor synergy generalization framework for new targets in multi-planar and multi-directional reaching task
Published in Royal Society open science (01-05-2022)“…Humans can rapidly adapt to new situations, even though they have redundant degrees of freedom (d.f.). Previous studies in neuroscience revealed that human…”
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12
EMG-Based Estimation of Lower Limb Joint Angles and Moments Using Long Short-Term Memory Network
Published in Sensors (Basel, Switzerland) (22-03-2023)“…One of the fundamental limitations in human biomechanics is that we cannot directly obtain joint moments during natural movements without affecting the motion…”
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13
Grey-box modeling and hypothesis testing of functional near-infrared spectroscopy-based cerebrovascular reactivity to anodal high-definition tDCS in healthy humans
Published in PLoS computational biology (06-10-2021)“…Transcranial direct current stimulation (tDCS) has been shown to evoke hemodynamics response; however, the mechanisms have not been investigated systematically…”
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14
Synergy quality assessment of muscle modules for determining learning performance using a realistic musculoskeletal model
Published in Frontiers in computational neuroscience (30-05-2024)“…How our central nervous system efficiently controls our complex musculoskeletal system is still debated. The muscle synergy hypothesis is proposed to simplify…”
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15
Effects of visual-electrotactile stimulation feedback on brain functional connectivity during motor imagery practice
Published in Scientific reports (18-10-2023)“…The use of neurofeedback is an important aspect of effective motor rehabilitation as it offers real-time sensory information to promote neuroplasticity…”
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16
Deep Adversarial Domain Adaptation With Few-Shot Learning for Motor-Imagery Brain-Computer Interface
Published in IEEE access (2022)“…Electroencephalography (EEG) is the most prevalent signal acquisition technique for brain-computer interface (BCI). However, the statistical distribution of…”
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17
Decoding Hand Motor Imagery Tasks Within the Same Limb From EEG Signals Using Deep Learning
Published in IEEE transactions on medical robotics and bionics (01-11-2020)“…Motor imagery (MI) tasks of different body parts have been successfully decoded by conventional classifiers, such as LDA and SVM. On the other hand, decoding…”
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18
Transferable Deep Learning Models for Accurate Ankle Joint Moment Estimation during Gait Using Electromyography
Published in Applied sciences (01-10-2024)“…The joint moment is a key measurement in locomotion analysis. Transferable prediction across different subjects is advantageous for calibration-free, practical…”
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19
Whole body center of mass estimation with portable sensors: using the statically equivalent serial chain and a Kinect
Published in Sensors (Basel, Switzerland) (11-09-2014)“…The trajectory of the whole body center of mass (CoM) is useful as a reliable metric of postural stability. If the evaluation of a subject-specific CoM were…”
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20
Discovering Interpretable Dynamics by Sparsity Promotion on Energy and the Lagrangian
Published in IEEE robotics and automation letters (01-04-2020)“…Data-driven modeling frameworks that adopt sparse regression techniques, such as sparse identification of nonlinear dynamics (SINDy) and its modifications, are…”
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