ArticlePLoS computational biology2021
Similar sensorimotor transformations control balance during standing and walking.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 48 citations in OpenAlex.
- Design and Testing of a Wearable Lower-Limb Exoskeleton for Investigating Falls Prevention.Sensors (Basel, Switzerland) · 2026Article
- Center of mass feedback for joint torque control during perturbed standing: a potential generalizable control approach for balance augmentation in wearable robots.Journal of neuroengineering and rehabilitation · 2026Article
- Center of Mass Feedback for joint torque control: a generalizable approach for balance augmentation in wearable robots.Research square · 2026Article
- Center of mass states render multijoint torques throughout standing balance recovery.Journal of neurophysiology · 2025Article
- Generalizability of foot placement control strategies during unperturbed and perturbed gait.Royal Society open science · 2024Article
- The condition for dynamic stability in humans walking with feedback control.PLoS computational biology · 2024Article
- The association between closed-eye unipedal standing and the risk of cognitive impairment in the elderly: a 7-year community-based cohort study in Wuhan, China.Frontiers in aging neuroscience · 2024Article
- Assisting walking balance using a bio-inspired exoskeleton controller.Journal of neuroengineering and rehabilitation · 2023Article
- A Wearable Real-time Kinematic and Kinetic Measurement Sensor Setup for Human Locomotion.Wearable technologies · 2023Article
- Exoskeletons need to react faster than physiological responses to improve standing balance.Science robotics · 2023Article
- The role of the ankle plantar flexor muscles in trip recovery during walking: a computational modeling study.Frontiers in sports and active living · 2023Article
- Article
- Age- and muscle-specific reliability of muscle architecture measurements assessed by two-dimensional panoramic ultrasound.Biomedical engineering online · 2022Article
- Measuring Kinematic Response to Perturbed Locomotion in Young Adults.Sensors (Basel, Switzerland) · 2022Article
- Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation.Journal of neuroengineering and rehabilitation · 2021Review
- Adaptations in Reactive Balance Strategies in Healthy Older Adults After a 3-Week Perturbation Training Program and After a 12-Week Resistance Training Program.Frontiers in sports and active living · 2021Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Standing and walking balance control in humans relies on the transformation of sensory information to motor commands that drive muscles. Here, we evaluated whether sensorimotor transformations underlying walking balance control can be described by task-level center of mass kinematics feedback similar to standing balance control. We found that delayed linear feedback of center of mass position and velocity, but not delayed linear feedback from ankle angles and angular velocities, can explain reactive ankle muscle activity and joint moments in response to perturbations of walking across protocols (discrete and continuous platform translations and discrete pelvis pushes). Feedback gains were modulated during the gait cycle and decreased with walking speed. Our results thus suggest that similar task-level variables, i.e. center of mass position and velocity, are controlled across standing and walking but that feedback gains are modulated during gait to accommodate changes in body configuration during the gait cycle and in stability with walking speed. These findings have important implications for modelling the neuromechanics of human balance control and for biomimetic control of wearable robotic devices. The feedback mechanisms we identified can be used to extend the current neuromechanical models that lack balance control mechanisms for the ankle joint. When using these models in the control of wearable robotic devices, we believe that this will facilitate shared control of balance between the user and the robotic device.
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