AIMC Topic: Walking
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Transcranial direct current stimulation combined with robotic training in incomplete spinal cord injury: a randomized, sham-controlled clinical trial.
Spinal cord series and cases
Sep 27, 2021
STUDY DESIGN: A randomized, sham-controlled clinical trial.
Recognition of Fine-Grained Walking Patterns Using a Smartwatch with Deep Attentive Neural Networks.
Sensors (Basel, Switzerland)
Sep 24, 2021
Generally, people do various things while walking. For example, people frequently walk while looking at their smartphones. Sometimes we walk differently than usual; for example, when walking on ice or snow, we tend to waddle. Understanding walking pa...
Multi-Phase Joint-Angle Trajectory Generation Inspired by Dog Motion for Control of Quadruped Robot.
Sensors (Basel, Switzerland)
Sep 24, 2021
Quadruped robots are receiving great attention as a new means of transportation for various purposes, such as military, welfare, and rehabilitation systems. The use of four legs enables a robustly stable gait; compared to the humanoid robots, the qua...
Neglected physical human-robot interaction may explain variable outcomes in gait neurorehabilitation research.
Science robotics
Sep 22, 2021
During gait neurorehabilitation, many factors influence the quality of gait patterns, particularly the chosen body-weight support (BWS) device. Consequently, robotic BWS devices play a key role in gait rehabilitation of people with neurological disor...
A Spatiotemporal Deep Learning Approach for Automatic Pathological Gait Classification.
Sensors (Basel, Switzerland)
Sep 16, 2021
Human motion analysis provides useful information for the diagnosis and recovery assessment of people suffering from pathologies, such as those affecting the way of walking, i.e., gait. With recent developments in deep learning, state-of-the-art perf...
A Soft Robotic Intervention for Gait Enhancement in Older Adults.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Sep 14, 2021
Falls continue to be a major safety and health concern for older adults. Researchers reported that increased gait variability was associated with increased fall risks. In the present study, we proposed a novel wearable soft robotic intervention and e...
Walking with robot-generated haptic forces in a virtual environment: a new approach to analyze lower limb coordination.
Journal of neuroengineering and rehabilitation
Sep 9, 2021
BACKGROUND: Walking with a haptic tensile force applied to the hand in a virtual environment (VE) can induce adaptation effects in both chronic stroke and non-stroke individuals. These effects are reflected in spatiotemporal outcomes such as gait spe...
Gait training with a wearable curara® robot for cerebellar ataxia: a single-arm study.
Biomedical engineering online
Sep 8, 2021
BACKGROUND: Ataxic gait is one of the most common and disabling symptoms in people with degenerative cerebellar ataxia. Intensive and well-coordinated inpatient rehabilitation improves ataxic gait. In addition to therapist-assisted gait training, rob...
DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels.
eLife
Sep 2, 2021
Videos of animal behavior are used to quantify researcher-defined behaviors of interest to study neural function, gene mutations, and pharmacological therapies. Behaviors of interest are often scored manually, which is time-consuming, limited to few ...
Investigating yielding behavior of heterogeneous vehicles at a semi-controlled crosswalk.
Accident; analysis and prevention
Aug 31, 2021
It is well known that pedestrians are vulnerable road users. Their risk of being injured or killed in road traffic crashes is even higher as vehicle drivers often violate traffic rules and do not slow down or yield in front of crosswalks. In order to...
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