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Gait

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A Deep Learning Method for Foot Progression Angle Detection in Plantar Pressure Images.

Sensors (Basel, Switzerland)
Foot progression angle (FPA) analysis is one of the core methods to detect gait pathologies as basic information to prevent foot injury from excessive in-toeing and out-toeing. Deep learning-based object detection can assist in measuring the FPA thro...

Real-Time Footprint Planning and Model Predictive Control Based Method for Stable Biped Walking.

Computational intelligence and neuroscience
In order to walk in a physical environment, the biped will encounter various external disturbances, and walking under persistent conditions is still challenging. This paper tries to improve the push recovery performance based on capture point (CP) an...

The Experiences of Robot-Assisted Gait Training in Patients With Neurological Disorders: A Qualitative Study.

Rehabilitation nursing : the official journal of the Association of Rehabilitation Nurses
PURPOSE: The aim of this study was to explore the rehabilitation experiences and perceptions of patients with neurological disorders who have used the Lokomat Augmented Feedback module, a robot-assisted gait training device.

KinectGaitNet: Kinect-Based Gait Recognition Using Deep Convolutional Neural Network.

Sensors (Basel, Switzerland)
Over the past decade, gait recognition had gained a lot of attention in various research and industrial domains. These include remote surveillance, border control, medical rehabilitation, emotion detection from posture, fall detection, and sports tra...

Development of a Prototype Overground Pelvic Obliquity Support Robot for Rehabilitation of Hemiplegia Gait.

Sensors (Basel, Switzerland)
In this work, we present the overground prototype gait-rehabilitation robot for using motion assistance and training for paralyzed patients. In contrast to the existing gait-rehabilitation robots, which focus on the sagittal plane motion of the hip a...

Gait Entrainment to Torque Pulses From a Hip Exoskeleton Robot.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Robot-aided locomotor rehabilitation has proven challenging. To facilitate progress, it is important to first understand the neuro-mechanical dynamics and control of unimpaired human locomotion. Our previous studies found that human gait entrained to...

Running birds reveal secrets for legged robot design.

Science robotics
Recapitulating avian locomotion opens the door for simple and economical control of legged robots without sensory feedback systems.

BirdBot achieves energy-efficient gait with minimal control using avian-inspired leg clutching.

Science robotics
Designers of legged robots are challenged with creating mechanisms that allow energy-efficient locomotion with robust and minimalistic control. Sources of high energy costs in legged robots include the rapid loading and high forces required to suppor...

Metabolically efficient walking assistance using optimized timed forces at the waist.

Science robotics
The metabolic rate of walking can be reduced by applying a constant forward force at the center of mass. It has been shown that the metabolically optimal constant force magnitude minimizes propulsion ground reaction force at the expense of increased ...

A Safe and Compliant Noncontact Interactive Approach for Wheeled Walking Aid Robot.

Computational intelligence and neuroscience
Aiming at promptly and accurately detecting falls and drag-to gaits induced by asynchronous human-robot movement speed during assisted walking, a noncontact interactive approach with generality, compliance and safety is proposed in this paper, and is...