Results 1 to 10 of about 22,284,482 (173)

Wearable Triboelectric Sensors Enabled Gait Analysis and Waist Motion Capture for IoT‐Based Smart Healthcare Applications

open access: yesAdvancement of science, 2021
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

open access: yesSports Medicine, 2022
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

open access: yesItalian National Conference on Sensors, 2022
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

open access: yesItalian National Conference on Sensors, 2022
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

open access: yesFrontiers in Aging Neuroscience, 2022
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

Role of Wearable Sensors with Machine Learning Approaches in Gait Analysis for Parkinson's Disease Assessment: A Review

open access: yesEngineering Sciences, 2022
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

open access: yesIEEE journal of biomedical and health informatics, 2021
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]

open access: yesApplied Bionics and Biomechanics, 2019
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

The Smart-Insole Dataset: Gait Analysis Using Wearable Sensors with a Focus on Elderly and Parkinson’s Patients

open access: yesItalian National Conference on Sensors, 2021
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]

open access: yesIET International Conference on Technologies for Active and Assisted Living (TechAAL), 2015
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

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