[HTML][HTML] Quantitative comparison of time-varying system identification methods to describe human joint impedance
Accurate and swift tuning of joint impedance is crucial to perform movement and interaction
with our environment. Time-varying system identification enables quantification of joint …
with our environment. Time-varying system identification enables quantification of joint …
Separating neural influences from peripheral mechanics: The speed-curvature relation in mechanically constrained actions
While the study of unconstrained movements has revealed important features of neural
control, generalizing those insights to more sophisticated object manipulation is challenging …
control, generalizing those insights to more sophisticated object manipulation is challenging …
Revealing time-varying joint impedance with kernel-based regression and nonparametric decomposition
During movements, humans continuously regulate their joint impedance to minimize control
effort and optimize performance. Joint impedance describes the relationship between a …
effort and optimize performance. Joint impedance describes the relationship between a …
Unbiased estimation of human joint intrinsic mechanical properties during movement
The overall mechanical properties of a joint are generated by a combination intrinsic
(mechanical) and reflex (neural) mechanisms. Nevertheless, many methods for estimating …
(mechanical) and reflex (neural) mechanisms. Nevertheless, many methods for estimating …
The effect of motor experience on knee stability and inter-joint coordination when cutting at different angles
Z Pan, L Liu, Y Ma - The Knee, 2024 - Elsevier
Background Most studies on cutting have focused on the biomechanics of the knee and
lower-limb muscle activation characteristics, with less consideration given to the influence of …
lower-limb muscle activation characteristics, with less consideration given to the influence of …
Non-Parametric Nonlinear Parameter-Varying Parallel-Cascade Identification of Dynamic Joint Stiffness
Objective: The paper presents a method to identify ankle joint dynamic stiffness during
functional tasks where intrinsic and reflex stiffness change with a time-varying scheduling …
functional tasks where intrinsic and reflex stiffness change with a time-varying scheduling …
Locally periodic kernel-based regression to identify time-varying ankle impedance during locomotion: A simulation study
Human joint impedance is a fundamental property of the neuromuscular system and
describes the mechanical behavior of a joint. The identification of the lower limbs' joints …
describes the mechanical behavior of a joint. The identification of the lower limbs' joints …
[LIVRE][B] Nonlinear parameter varying identification of time-varying ankle dynamic stiffness
ES Tehrani - 2018 - search.proquest.com
Dynamic joint stiffness is the dynamic relationship between a joint's angular position and the
torque about it. It has two components: 1) intrinsic due to limb inertia, viscoelasticity of the …
torque about it. It has two components: 1) intrinsic due to limb inertia, viscoelasticity of the …
[LIVRE][B] A Dynamic Primitives Hypothesis: A Descriptive Model of Human Physical Interaction
J Hermus - 2023 - search.proquest.com
Physical interaction is a key aspect of activities of daily living. These tasks require
simultaneous regulation of both force and motion. For example, even a task as simple as …
simultaneous regulation of both force and motion. For example, even a task as simple as …
Controller Design for an Inverted-Pendulum Model of Postural Balance with Delayed Proprioceptive Feedback
K Iqbal - 2020 IEEE 16th International Conference on Control & …, 2020 - ieeexplore.ieee.org
Postural control during quiet standing is a challenging task for the neural controller due to
the inherent instabilities involved in the task. Researchers have often employed inverted …
the inherent instabilities involved in the task. Researchers have often employed inverted …