Sensors and actuation technologies in exoskeletons: A review
Exoskeletons are robots that closely interact with humans and that are increasingly used for
different purposes, such as rehabilitation, assistance in the activities of daily living (ADLs) …
different purposes, such as rehabilitation, assistance in the activities of daily living (ADLs) …
Human lower limb motion intention recognition for exoskeletons: A review
LL Li, GZ Cao, HJ Liang, YP Zhang… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Human motion intention (HMI) has increasingly gained concerns in lower limb exoskeletons
(LLEs). HMI recognition (HMIR) is the precondition for realizing active compliance control in …
(LLEs). HMI recognition (HMIR) is the precondition for realizing active compliance control in …
EEG motor imagery classification using deep learning approaches in naïve BCI users
Abstract Motor Imagery (MI)-Brain Computer-Interfaces (BCI) illiteracy defines that not all
subjects can achieve a good performance in MI-BCI systems due to different factors related …
subjects can achieve a good performance in MI-BCI systems due to different factors related …
Brain-computer interface enhanced by virtual reality training for controlling a lower limb exoskeleton
This study explores the use of a brain-computer interface (BCI) based on motor imagery (MI)
for the control of a lower limb exoskeleton to aid in motor recovery after a neural injury. The …
for the control of a lower limb exoskeleton to aid in motor recovery after a neural injury. The …
An EEG database for the cognitive assessment of motor imagery during walking with a lower-limb exoskeleton
One important point in the development of a brain-machine Interface (BMI) commanding an
exoskeleton is the assessment of the cognitive engagement of the subject during the motor …
exoskeleton is the assessment of the cognitive engagement of the subject during the motor …
[HTML][HTML] Design of a brain-machine interface for reducing false activations of a lower-limb exoskeleton based on error related potential
Abstract Background and objective Brain-Machine Interfaces (BMIs) based on a motor
imagination paradigm provide an intuitive approach for the exoskeleton control during gait …
imagination paradigm provide an intuitive approach for the exoskeleton control during gait …
Brain symmetry analysis during the use of a BCI based on motor imagery for the control of a lower-limb exoskeleton
Brain–Computer Interfaces (BCI) are systems that allow external devices to be controlled by
means of brain activity. There are different such technologies, and electroencephalography …
means of brain activity. There are different such technologies, and electroencephalography …
Brain–machine interface based on deep learning to control asynchronously a lower-limb robotic exoskeleton: a case-of-study
L Ferrero, P Soriano-Segura, J Navarro… - Journal of …, 2024 - Springer
Background This research focused on the development of a motor imagery (MI) based brain–
machine interface (BMI) using deep learning algorithms to control a lower-limb robotic …
machine interface (BMI) using deep learning algorithms to control a lower-limb robotic …
Neuro-motor controlled wearable augmentations: current research and emerging trends
Wearable augmentations (WAs) designed for movement and manipulation, such as
exoskeletons and supernumerary robotic limbs, are used to enhance the physical abilities of …
exoskeletons and supernumerary robotic limbs, are used to enhance the physical abilities of …
Analysis of Error Potentials generated by a lower limb exoskeleton feedback in a BMI for gait control*
P Soriano-Segura, L Ferrero, M Ortiz… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
Brain-machine interfaces (BMIs) based on motor imagery (MI) for controlling lower-limb
exoskeletons during the gait have been gaining importance in the rehabilitation field …
exoskeletons during the gait have been gaining importance in the rehabilitation field …