AIMC Topic: Walking

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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...

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...

Submillimeter-scale multimaterial terrestrial robots.

Science robotics
Robots with submillimeter dimensions are of interest for applications that range from tools for minimally invasive surgical procedures in clinical medicine to vehicles for manipulating cells/tissues in biology research. The limited classes of structu...

A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts.

Sensors (Basel, Switzerland)
Many algorithms use 3D accelerometer and/or gyroscope data from inertial measurement unit (IMU) sensors to detect gait events (i.e., initial and final foot contact). However, these algorithms often require knowledge about sensor orientation and use e...

Strategies for Generating Footsteps of Biped Robots in Narrow Sight.

Sensors (Basel, Switzerland)
In this paper, we present a strategy for a legged robot to stably cross cinder blocks with a limited area acquired from a camera. First, we used the point cloud acquired from the camera to detect the planes and calculate their centroids and direction...

The Hybrid Position/Force Walking Robot Control Using Extenics Theory and Neutrosophic Logic Decision.

Sensors (Basel, Switzerland)
This paper presents a hybrid force/position control. We developed it for a hexapod walking robot that combines multiple bipedal robots to increase its load. The control method integrated Extenics theory with neutrosophic logic to obtain a two-stage d...

Sideways crab-walking is faster and more efficient than forward walking for a hexapod robot.

Bioinspiration & biomimetics
Articulated legs enable the selection of robot gaits, including walking in different directions such as forward or sideways. For longer distances, the best gaits might maximize velocity or minimize the cost of transport (COT). While animals often hav...

Design of a control framework for lower limb exoskeleton rehabilitation robot based on predictive assessment.

Clinical biomechanics (Bristol, Avon)
BACKGROUND: Patients suffering from lower limb dyskinesia, especially in early stages of rehabilitation, have weak residual muscle strength in affected limb and require passive training by the lower limb rehabilitation robot. Anatomy indicates that t...