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Gait

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A general locomotion control framework for multi-legged locomotors.

Bioinspiration & biomimetics
Serially connected robots are promising candidates for performing tasks in confined spaces such as search and rescue in large-scale disasters. Such robots are typically limbless, and we hypothesize that the addition of limbs could improve mobility. H...

A Vision-Based System for Stage Classification of Parkinsonian Gait Using Machine Learning and Synthetic Data.

Sensors (Basel, Switzerland)
Parkinson's disease is characterized by abnormal gait, which worsens as the condition progresses. Although several methods have been able to classify this feature through pose-estimation algorithms and machine-learning classifiers, few studies have b...

Recent Advances in Bipedal Walking Robots: Review of Gait, Drive, Sensors and Control Systems.

Sensors (Basel, Switzerland)
Currently, there is an intensive development of bipedal walking robots. The most known solutions are based on the use of the principles of human gait created in nature during evolution. Modernbipedal robots are also based on the locomotion manners of...

Robot-assisted gait training: more randomized controlled trials are needed! Or maybe not?

Journal of neuroengineering and rehabilitation
I was encouraged by the recent article by Kuo et al. entitled "Prediction of robotic neurorehabilitation functional ambulatory outcome in patients with neurological disorders" to write an opinion piece on the possible further development of stationar...

Force and Torque Characterization in the Actuation of a Walking-Assistance, Cable-Driven Exosuit.

Sensors (Basel, Switzerland)
Soft exosuits stand out when it comes to the development of walking-assistance devices thanks to both their higher degree of wearability, lower weight, and price compared to the bulkier equivalent rigid exoskeletons. In cable-driven exosuits, the act...

GaitSet: Cross-View Gait Recognition Through Utilizing Gait As a Deep Set.

IEEE transactions on pattern analysis and machine intelligence
Gait is a unique biometric feature that can be recognized at a distance; thus, it has broad applications in crime prevention, forensic identification, and social security. To portray a gait, existing gait recognition methods utilize either a gait tem...

Effects of control strategies on gait in robot-assisted post-stroke lower limb rehabilitation: a systematic review.

Journal of neuroengineering and rehabilitation
BACKGROUND: Stroke related motor function deficits affect patients' likelihood of returning to professional activities, limit their participation in society and functionality in daily living. Hence, robot-aided gait rehabilitation needs to be fruitfu...

Soft robotic exosuit augmented high intensity gait training on stroke survivors: a pilot study.

Journal of neuroengineering and rehabilitation
BACKGROUND: Stroke is a leading cause of serious gait impairments and restoring walking ability is a major goal of physical therapy interventions. Soft robotic exosuits are portable, lightweight, and unobtrusive assistive devices designed to improve ...

Generalizability of deep learning models for predicting outdoor irregular walking surfaces.

Journal of biomechanics
Observations from laboratory-based gait analysis are difficult to extrapolate to real-world environments where gait behavior is modulated in response to complex environmental conditions and surface profiles. Inertial measurement units (IMUs) permit r...

Feasibility of Overground Gait Training Using a Joint-Torque-Assisting Wearable Exoskeletal Robot in Children with Static Brain Injury.

Sensors (Basel, Switzerland)
Pediatric gait disorders are often chronic and accompanied by various complications, which challenge rehabilitation efforts. Here, we retrospectively analyzed the feasibility of overground robot-assisted gait training (RAGT) using a joint-torque-assi...