Search Results - "Hayashibe, Mitsuhiro"

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  1. 1

    Sparse identification of Lagrangian for nonlinear dynamical systems via proximal gradient method by Purnomo, Adam, Hayashibe, Mitsuhiro

    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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    Journal Article
  2. 2

    Evoked Electromyographically Controlled Electrical Stimulation by Hayashibe, Mitsuhiro

    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. 3

    A Survey of Sim-to-Real Transfer Techniques Applied to Reinforcement Learning for Bioinspired Robots by Zhu, Wei, Guo, Xian, Owaki, Dai, Kutsuzawa, Kyo, Hayashibe, Mitsuhiro

    “…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. 4

    Synergetic synchronized oscillation by distributed neural integrators to induce dynamic equilibrium in energy dissipation systems by Hayashibe, Mitsuhiro, Shimoda, Shingo

    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. 5

    Identifying essential factors for energy-efficient walking control across a wide range of velocities in reflex-based musculoskeletal systems by Koseki, Shunsuke, Hayashibe, Mitsuhiro, Owaki, Dai

    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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  6. 6

    Self-organizing neural network for reproducing human postural mode alternation through deep reinforcement learning by Shen, Keli, Li, Guanda, Chemori, Ahmed, Hayashibe, Mitsuhiro

    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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  7. 7

    Integrated Quantitative Evaluation of Spatial Cognition and Motor Function with HoloLens Mixed Reality by Tada, Kenya, Sorimachi, Yuhei, Kutsuzawa, Kyo, Owaki, Dai, Hayashibe, Mitsuhiro

    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. 8

    A Synergetic Brain-Machine Interfacing Paradigm for Multi-DOF Robot Control by Bhattacharyya, Saugat, Shimoda, Shingo, Hayashibe, Mitsuhiro

    “…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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  9. 9

    Synergy-Space Recurrent Neural Network for Transferable Forearm Motion Prediction from Residual Limb Motion by Ahmed, Muhammad Hannan, Chai, Jiazheng, Shimoda, Shingo, Hayashibe, Mitsuhiro

    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. 10

    Imitation Learning with Time-Varying Synergy for Compact Representation of Spatiotemporal Structures by Kutsuzawa, Kyo, Hayashibe, Mitsuhiro

    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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  11. 11

    Motor synergy generalization framework for new targets in multi-planar and multi-directional reaching task by Kutsuzawa, Kyo, Hayashibe, Mitsuhiro

    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. 12

    EMG-Based Estimation of Lower Limb Joint Angles and Moments Using Long Short-Term Memory Network by Truong, Minh Tat Nhat, Ali, Amged Elsheikh Abdelgadir, Owaki, Dai, Hayashibe, Mitsuhiro

    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. 13

    Grey-box modeling and hypothesis testing of functional near-infrared spectroscopy-based cerebrovascular reactivity to anodal high-definition tDCS in healthy humans by Arora, Yashika, Walia, Pushpinder, Hayashibe, Mitsuhiro, Muthalib, Makii, Chowdhury, Shubhajit Roy, Perrey, Stephane, Dutta, Anirban

    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. 14

    Synergy quality assessment of muscle modules for determining learning performance using a realistic musculoskeletal model by Fukunishi, Akito, Kutsuzawa, Kyo, Owaki, Dai, Hayashibe, Mitsuhiro

    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. 15

    Effects of visual-electrotactile stimulation feedback on brain functional connectivity during motor imagery practice by Phunruangsakao, Chatrin, Achanccaray, David, Bhattacharyya, Saugat, Izumi, Shin-Ichi, Hayashibe, Mitsuhiro

    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. 16

    Deep Adversarial Domain Adaptation With Few-Shot Learning for Motor-Imagery Brain-Computer Interface by Phunruangsakao, Chatrin, Achanccaray, David, Hayashibe, Mitsuhiro

    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. 17

    Decoding Hand Motor Imagery Tasks Within the Same Limb From EEG Signals Using Deep Learning by Achanccaray, David, Hayashibe, Mitsuhiro

    “…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. 18

    Transferable Deep Learning Models for Accurate Ankle Joint Moment Estimation during Gait Using Electromyography by Ali, Amged Elsheikh Abdelgadir, Owaki, Dai, Hayashibe, Mitsuhiro

    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. 19

    Whole body center of mass estimation with portable sensors: using the statically equivalent serial chain and a Kinect by González, Alejandro, Hayashibe, Mitsuhiro, Bonnet, Vincent, Fraisse, Philippe

    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. 20

    Discovering Interpretable Dynamics by Sparsity Promotion on Energy and the Lagrangian by Chu, Hoang K., Hayashibe, Mitsuhiro

    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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