Human-robot interaction in rehabilitation and assistance: a review
A Mohebbi - Current Robotics Reports, 2020 - Springer
Abstract Purpose of Review Research in assistive and rehabilitation robotics is a growing,
promising, and challenging field emerged due to various social and medical needs such as …
promising, and challenging field emerged due to various social and medical needs such as …
Characterization and evaluation of human–exoskeleton interaction dynamics: a review
Exoskeletons and exosuits have witnessed unprecedented growth in recent years,
especially in the medical and industrial sectors. In order to be successfully integrated into …
especially in the medical and industrial sectors. In order to be successfully integrated into …
[HTML][HTML] Recent advances in self-powered wearable flexible sensors for human gaits analysis
X Hu, Z Ma, F Zhao, S Guo - Nanomaterials, 2024 - mdpi.com
The rapid progress of flexible electronics has met the growing need for detecting human
movement information in exoskeleton auxiliary equipment. This study provides a review of …
movement information in exoskeleton auxiliary equipment. This study provides a review of …
Machine learning approaches for activity recognition and/or activity prediction in locomotion assistive devices—a systematic review
F Labarrière, E Thomas, L Calistri, V Optasanu… - Sensors, 2020 - mdpi.com
Locomotion assistive devices equipped with a microprocessor can potentially automatically
adapt their behavior when the user is transitioning from one locomotion mode to another …
adapt their behavior when the user is transitioning from one locomotion mode to another …
Multi-modal data fusion in enhancing human-machine interaction for robotic applications: a survey
Human-machine interaction has been around for several decades now, with new
applications emerging every day. One of the major goals that remain to be achieved is …
applications emerging every day. One of the major goals that remain to be achieved is …
Human lower limb motion intention recognition for exoskeletons: A review
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 …
Upper body posture recognition using inertial sensors and recurrent neural networks
HY Tang, SH Tan, TY Su, CJ Chiang, HH Chen - Applied Sciences, 2021 - mdpi.com
Featured Application In this study, a wearable system that can recognize human posture
was developed. By using long short-term memory-based recurrent neural network (LSTM …
was developed. By using long short-term memory-based recurrent neural network (LSTM …
Gait activity classification using multi-modality sensor fusion: a deep learning approach
SU Yunas, KB Ozanyan - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Floor Sensors (FS) are used to capture information from the force induced on the contact
surface by feet during gait. On the other hand, the Ambulatory Inertial Sensors (AIS) are …
surface by feet during gait. On the other hand, the Ambulatory Inertial Sensors (AIS) are …
Differential soft sensor-based measurement of interactive force and assistive torque for a robotic hip exoskeleton
S Wang, B Zhang, Z Yu, Y Yan - Sensors, 2021 - mdpi.com
With the emerging of wearable robots, the safety and effectiveness of human-robot physical
interaction have attracted extensive attention. Recent studies suggest that online …
interaction have attracted extensive attention. Recent studies suggest that online …
Multimodal human-exoskeleton interface for lower limb movement prediction through a dense co-attention symmetric mechanism
A challenging task for the biological neural signal-based human-exoskeleton interface is to
achieve accurate lower limb movement prediction of patients with hemiplegia in …
achieve accurate lower limb movement prediction of patients with hemiplegia in …