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A review of the key technologies for sEMG-based human-robot interaction systems
K Li, J Zhang, L Wang, M Zhang, J Li, S Bao - … Signal Processing and …, 2020 - Elsevier
As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …
Control strategies for active lower extremity prosthetics and orthotics: a review
Technological advancements have led to the development of numerous wearable robotic
devices for the physical assistance and restoration of human locomotion. While many …
devices for the physical assistance and restoration of human locomotion. While many …
Design and clinical implementation of an open-source bionic leg
In individuals with lower-limb amputations, robotic prostheses can increase walking speed,
and reduce energy use, the incidence of falls and the development of secondary …
and reduce energy use, the incidence of falls and the development of secondary …
A lightweight robotic leg prosthesis replicating the biomechanics of the knee, ankle, and toe joint
Robotic leg prostheses promise to improve the mobility and quality of life of millions of
individuals with lower-limb amputations by imitating the biomechanics of the missing …
individuals with lower-limb amputations by imitating the biomechanics of the missing …
Continuous-phase control of a powered knee–ankle prosthesis: Amputee experiments across speeds and inclines
Control systems for powered prosthetic legs typically divide the gait cycle into several
periods with distinct controllers, resulting in dozens of control parameters that must be tuned …
periods with distinct controllers, resulting in dozens of control parameters that must be tuned …
Design, development, and testing of a lightweight hybrid robotic knee prosthesis
We present a lightweight robotic knee prosthesis with a novel hybrid actuation system that
enables passive and active operation modes. The proposed hybrid knee uses a spring …
enables passive and active operation modes. The proposed hybrid knee uses a spring …
Neural data-driven musculoskeletal modeling for personalized neurorehabilitation technologies
Objectives: The development of neurorehabilitation technologies requires the profound
understanding of the mechanisms underlying an individual's motor ability and impairment. A …
understanding of the mechanisms underlying an individual's motor ability and impairment. A …
A lightweight, efficient fully powered knee prosthesis with actively variable transmission
Amputation at the above-knee level severely impairs the ability of an individual to ambulate.
As ambulation requires power generation and active control of movements, the passive …
As ambulation requires power generation and active control of movements, the passive …
Modeling and simulating the neuromuscular mechanisms regulating ankle and knee joint stiffness during human locomotion
This work presents an electrophysiologically and dynamically consistent musculoskeletal
model to predict stiffness in the human ankle and knee joints as derived from the joints …
model to predict stiffness in the human ankle and knee joints as derived from the joints …
Human-like compliant locomotion: state of the art of robotic implementations
This review paper provides a synthetic yet critical overview of the key biomechanical
principles of human bipedal walking and their current implementation in robotic platforms …
principles of human bipedal walking and their current implementation in robotic platforms …