Overground Robot-Assisted Gait Training for Pediatric Cerebral Palsy
Sensors, 2021 The untethered exoskeletal robot provides patients with the freest and realistic walking experience by assisting them based on their intended movement.
Seung Ki Kim +6 more
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Frontiers in Neural Circuits, 2023 IntroductionAnimals such as cattle can achieve versatile and elegant behaviors through automatic sensorimotor coordination. Their self-organized movements convey an impression of adaptability, robustness, and motor memory.
Tao Sun +4 more
doaj +1 more source
Rehabilitative devices for a top-down approach [PDF]
, 2019 In recent years, neurorehabilitation has moved from a "bottom-up" to a "top down" approach. This change has also involved the technological devices developed for motor and cognitive rehabilitation.
de Bartolo, Daniela +7 more
core +1 more source
A Passivity-based Nonlinear Admittance Control with Application to Powered Upper-limb Control under Unknown Environmental Interactions [PDF]
, 2019 This paper presents an admittance controller based on the passivity theory for a powered upper-limb exoskeleton robot which is governed by the nonlinear equation of motion.
Choi, Il Seop +7 more
core +2 more sources
Printable stretchable interconnects [PDF]
, 2017 This article presents recent progress and a comprehensive overview of stretchable interconnects based on printable nanocomposites. Nanocomposite-based inks for printed stretchable interconnects have been categorized according to dispersed filler ...
Dahiya, Ravinder +3 more
core +1 more source
Visual guidance can help with the use of a robotic exoskeleton during human walking
Scientific Reports, 2022 Walking is an important activity that supports the health-related quality of life, and for those who need assistance, robotic devices are available to help.
Myunghee Kim +7 more
doaj +1 more source
Optimal dimensional synthesis of force feedback lower arm exoskeletons [PDF]
, 2008 This paper presents multi-criteria design optimization of parallel mechanism based force feedback exoskeletons for human forearm and wrist. The optimized devices are aimed to be employed as a high fidelity haptic interfaces.
Patoglu, Volkan +3 more
core +1 more source
Multivariate CNN Model for Human Locomotion Activity Recognition with a Wearable Exoskeleton Robot
Bioengineering, 2023 This study introduces a novel convolutional neural network (CNN) architecture, encompassing both single and multi-head designs, developed to identify a user’s locomotion activity while using a wearable lower limb robot.
Chang-Sik Son, Won-Seok Kang
doaj +1 more source
Effects on mobility training and de-adaptations in subjects with Spinal Cord Injury due to a Wearable Robot: A preliminary report [PDF]
, 2016 open7noopenSale, Patrizio; Russo, Emanuele Francesco; Russo, Michele; Masiero, Stefano; Piccione, Francesco; Calabrò, Rocco Salvatore; Filoni, SerenaSale, Patrizio; Russo, Emanuele Francesco; Russo, Michele; Masiero, Stefano; Piccione, Francesco; Calabrò,
Emanuele Francesco Russo +6 more
core +1 more source
Fall Prediction and Prevention Systems: Recent Trends, Challenges, and Future Research Directions. [PDF]
, 2017 Fall prediction is a multifaceted problem that involves complex interactions between physiological, behavioral, and environmental factors. Existing fall detection and prediction systems mainly focus on physiological factors such as gait, vision, and ...
Jung, Tzyy-Ping +2 more
core +2 more sources