Results 1 to 10 of about 22,284,482 (173)
Gait and waist motions always contain massive personnel information and it is feasible to extract these data via wearable electronics for identification and healthcare based on the Internet of Things (IoT).
Quan Zhang+9 more
semanticscholar +1 more source
Wearables for Running Gait Analysis: A Systematic Review
Background Running gait assessment has traditionally been performed using subjective observation or expensive laboratory-based objective technologies, such as three-dimensional motion capture or force plates.
R. Mason+6 more
semanticscholar +1 more source
Markerless vs. Marker-Based Gait Analysis: A Proof of Concept Study
The analysis of human gait is an important tool in medicine and rehabilitation to evaluate the effects and the progression of neurological diseases resulting in neuromotor disorders.
Matteo Moro+4 more
semanticscholar +1 more source
Machine Learning Approach to Support the Detection of Parkinson’s Disease in IMU-Based Gait Analysis
The aim of this study was to determine which supervised machine learning (ML) algorithm can most accurately classify people with Parkinson’s disease (pwPD) from speed-matched healthy subjects (HS) based on a selected minimum set of IMU-derived gait ...
Dante Trabassi+7 more
semanticscholar +1 more source
Detection and assessment of Parkinson's disease based on gait analysis: A survey
Neurological disorders represent one of the leading causes of disability and mortality in the world. Parkinson's Disease (PD), for example, affecting millions of people worldwide is often manifested as impaired posture and gait.
Yao Guo+4 more
semanticscholar +1 more source
Gait analysis, a way of assessing the manner of walking, is considered a significant criterion in diagnosing movement disorder. Various factors contribute to the alterations in gait patterns, of which neurodegenerative related disorders play a major role.
Aishwarya Balakrishnan+3 more
semanticscholar +1 more source
Human Gait Analysis in Neurodegenerative Diseases: A Review
This paper reviews the recent literature on technologies and methodologies for quantitative human gait analysis in the context of neurodegenerative diseases.
G. Cicirelli+5 more
semanticscholar +1 more source
Human Gait Analysis Metric for Gait Retraining [PDF]
The combined gait asymmetry metric (CGAM) provides a method to synthesize human gait motion. The metric is weighted to balance each parameter’s effect by normalizing the data so all parameters are more equally weighted. It is designed to combine spatial, temporal, kinematic, and kinetic gait parameter asymmetries.
Tyagi Ramakrishnan+2 more
openaire +4 more sources
Gait analysis is crucial for the detection and management of various neurological and musculoskeletal disorders. The identification of gait events is valuable for enhancing gait analysis, developing accurate monitoring systems, and evaluating treatments ...
Chariklia Chatzaki+7 more
semanticscholar +1 more source
Gait analysis on the move: the infinite gait walkway [PDF]
In order to analyze human gait patterns, highly accurate data must be collected at high frame rates. The state of the art is to deploy a carpet-like structure instrumented with pressure sensors, which allows for measuring position, orientation and pressure of each foot at each step. Since such gait “walkway carpets” are highly expensive1 and also
Wakolbinger, S.+2 more
openaire +3 more sources