[go: up one dir, main page]

Jiang et al., 2017 - Google Patents

A postural control model incorporating multisensory inputs for maintaining a musculoskeletal model in a stance posture

Jiang et al., 2017

Document ID
9601877525818484211
Author
Jiang P
Chiba R
Takakusaki K
Ota J
Publication year
Publication venue
Advanced Robotics

External Links

Snippet

Maintenance of the upright stance is one of the basic requirements in human daily life. Stance postural control is achieved through muscle coordination based on the integration of multisensory inputs such as visual, vestibular, and proprioceptive somatosensory inputs. In …
Continue reading at www.tandfonline.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality

Similar Documents

Publication Publication Date Title
Proud et al. Exoskeleton application to military manual handling tasks
Gull et al. A review on design of upper limb exoskeletons
Ezati et al. A review of simulation methods for human movement dynamics with emphasis on gait
Bingjing et al. Human–robot interactive control based on reinforcement learning for gait rehabilitation training robot
Coser et al. AI-based methodologies for exoskeleton-assisted rehabilitation of the lower limb: a review
Meyer et al. Muscle synergies facilitate computational prediction of subject-specific walking motions
Bingham et al. Stability in a frontal plane model of balance requires coupled changes to postural configuration and neural feedback control
Jiang et al. Generation of the human biped stance by a neural controller able to compensate neurological time delay
Luo et al. Reinforcement learning and control of a lower extremity exoskeleton for squat assistance
Geravand et al. Human sit-to-stand transfer modeling towards intuitive and biologically-inspired robot assistance
Akhavanfar et al. Sharing the load: modeling loads in OpenSim to simulate two-handed lifting
Wu et al. Development and analysis of a gravity-balanced exoskeleton for active rehabilitation training of upper limb
Jiang et al. A postural control model incorporating multisensory inputs for maintaining a musculoskeletal model in a stance posture
Yao et al. Advancements in sensor technologies and control strategies for lower-limb rehabilitation exoskeletons: A comprehensive review
Chen et al. Dynamic trajectory adjustment of lower limb exoskeleton in swing phase based on impedance control strategy
Gordon et al. Effectively quantifying the performance of lower-limb exoskeletons over a range of walking conditions
Nasr et al. Model-based mid-level regulation for assist-as-needed hierarchical control of wearable robots: A computational study of human-robot adaptation
Zhou et al. Model-based comparison of passive and active assistance designs in an occupational upper limb exoskeleton for overhead lifting
Menychtas et al. Analyzing the kinematic and kinetic contributions of the human upper body’s joints for ergonomics assessment
Lippi et al. Human-derived disturbance estimation and compensation (dec) method lends itself to a modular sensorimotor control in a humanoid robot
Yang et al. A review on human intent understanding and compliance control strategies for lower limb exoskeletons
Yu et al. Musculoskeletal modeling and humanoid control of robots based on human gait data
Jenhani et al. An LMI-based robust state-feedback controller design for the position control of a knee rehabilitation exoskeleton robot: Comparative analysis
Ehsani et al. A general-purpose framework to simulate musculoskeletal system of human body: using a motion tracking approach
Akbaş et al. Characterization of human balance through a reinforcement learning-based muscle controller