☆ 4.5 Article

Feasibility of Markerless Motion Capture for Three-Dimensional Gait Assessment in Community Settings

FRONTIERS IN HUMAN NEUROSCIENCE (2022)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Chemistry, Analytical

The Impact of Environment on Gait Assessment: Considerations from Real-World Gait Analysis in Dementia Subtypes

Riona Mc Ardle et al.

Summary: This study investigates the impact of different environments (such as lab and real world) on gait, using different walking bout lengths in the real world as proxy measures of context. Significant differences in gait impairments between dementia subtypes were found in both lab and real-world settings, indicating the importance of context in assessing gait in clinical practice.

SENSORS (2021)

添加到收藏夹

Article Biophysics

Concurrent assessment of gait kinematics using marker-based and markerless motion capture

M. Robert Kanko et al.

Summary: The study compared the kinematics of human gait measured using a markerless motion capture system to those from a standard marker-based system, finding that the average root mean square distance between corresponding joint centers was small and the global segment pose estimates were very similar. This suggests that markerless motion capture systems could be a suitable alternative in practical applications.

JOURNAL OF BIOMECHANICS (2021)

添加到收藏夹

Article Biophysics

Estimation of kinematics from inertial measurement units using a combined deep learning and optimization framework

Eric Rapp et al.

Summary: The study introduces a new framework that combines deep learning and top-down optimization to accurately predict lower extremity joint angles directly from inertial data, without relying on magnetometer readings. Results show that lower extremity kinematics can be predicted with acceptable errors in walking and running trials, and errors decrease with larger training datasets.

JOURNAL OF BIOMECHANICS (2021)

添加到收藏夹

Article Biophysics

Using deep neural networks for kinematic analysis: Challenges and opportunities

Neil J. Cronin

Summary: Kinematic analysis is traditionally performed in labs with optical cameras and reflective markers, but recent advancements in artificial intelligence, such as deep neural networks, have made markerless analysis feasible for outdoor applications. This paper summarizes markerless approaches for estimating joint angles and discusses the limitations of traditional pose estimation algorithms. Transfer learning is proposed as a method to reduce the number of training images required for accurate predictions.

JOURNAL OF BIOMECHANICS (2021)

添加到收藏夹

Article Biophysics

Inter-session repeatability of markerless motion capture gait kinematics

Robert M. Kanko et al.

Summary: This study evaluates the reliability of lower limb gait kinematics using video-based markerless motion capture, showing that this method is potentially more reliable than traditional marker-based systems and holds promise for future applications.

JOURNAL OF BIOMECHANICS (2021)

添加到收藏夹

Article Biochemical Research Methods

Two-dimensional video-based analysis of human gait using pose estimation

Jan Stenum et al.

Summary: The author suggests that novel pose estimation algorithms can automatically track human movement for analyzing human gait, moving away from the dependence on laboratories. Their research shows that their workflow can accurately estimate gait parameters, and discusses the impact of camera viewpoint on the results.

PLOS COMPUTATIONAL BIOLOGY (2021)

添加到收藏夹

Article Biophysics

Assessment of spatiotemporal gait parameters using a deep learning algorithm-based markerless motion capture system

Robert M. Kanko et al.

Summary: Spatiotemporal parameters can characterize gait patterns, and video-based markerless motion capture technology can accurately measure the gait parameters of healthy young adults, showing good agreement with marker-based motion capture and gait mat systems.

JOURNAL OF BIOMECHANICS (2021)

添加到收藏夹

Article Neurosciences

Self-Selected walking speed increases when individuals are aware of being recorded

Laura A. Hutchinson et al.

GAIT & POSTURE (2019)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

The REDCap consortium: Building an international community of software platform partners

Paul A. Harris et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2019)

添加到收藏夹

Review Neurosciences

Effects of high heeled shoes on gait. A review

M. M. Wiedemeijer et al.

GAIT & POSTURE (2018)

添加到收藏夹

Article Multidisciplinary Sciences

Reference values of gait using APDM movement monitoring inertial sensor system

Xin Fang et al.

ROYAL SOCIETY OPEN SCIENCE (2018)

添加到收藏夹

Article Neurosciences

DeepLabCut: markerless pose estimation of user-defined body parts with deep learning

Alexander Mathis et al.

NATURE NEUROSCIENCE (2018)

添加到收藏夹

Article Clinical Neurology

Accuracy of Markerless 3D Motion Capture Evaluation to Differentiate between On/Off Status in Parkinson's Disease after Deep Brain Stimulation

Hector R. Martinez et al.

PARKINSONS DISEASE (2018)

添加到收藏夹

Review Neurosciences

Barefoot vs common footwear: A systematic review of the kinematic, kinetic and muscle activity differences during walking

Simon Franklin et al.

GAIT & POSTURE (2015)

添加到收藏夹

Article Biophysics

Gait assessment using the Microsoft Xbox One Kinect: Concurrent validity and inter-day reliability of spatiotemporal and kinematic variables

Benjamin F. Mentiplay et al.

JOURNAL OF BIOMECHANICS (2015)

添加到收藏夹

Article Multidisciplinary Sciences

Impaired Limb Shortening following Stroke: What's in a Name?

Virginia L. Little et al.

PLOS ONE (2014)

添加到收藏夹

Article Geriatrics & Gerontology

Racial Differences in Gait Velocity in an Urban Elderly Cohort

Irene Blanco et al.

JOURNAL OF THE AMERICAN GERIATRICS SOCIETY (2012)

添加到收藏夹

Article Neurosciences

Normative spatiotemporal gait parameters in older adults

John H. Hollman et al.

GAIT & POSTURE (2011)

添加到收藏夹

Article Public, Environmental & Occupational Health

How We Design Feasibility Studies

Deborah J. Bowen et al.

AMERICAN JOURNAL OF PREVENTIVE MEDICINE (2009)

添加到收藏夹

Article Neurosciences

Capacity to increase walking speed is limited by impaired hip and ankle power generation in lower functioning persons post-stroke

I. Jonkers et al.

GAIT & POSTURE (2009)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Research electronic data capture (REDCap)-A metadata-driven methodology and workflow process for providing translational research informatics support

Paul A. Harris et al.

JOURNAL OF BIOMEDICAL INFORMATICS (2009)

添加到收藏夹

Article Neurosciences

Two simple methods for determining gait events during treadmill and overground walking using kinematic data

J. A. Zeni et al.

GAIT & POSTURE (2008)

添加到收藏夹

Article Engineering, Biomedical

A markerless motion capture system to study musculoskeletal biomechanics:: Visual hull and simulated annealing approach

S. Corazza et al.

ANNALS OF BIOMEDICAL ENGINEERING (2006)

添加到收藏夹

Article Neurosciences

Defining spatial parameters for non-linear walking

F Huxham et al.

GAIT & POSTURE (2006)

添加到收藏夹

Article Neurosciences

Validity of the GAITRite® walkway system for the measurement of averaged and individual step parameters of gait

KE Webster et al.

GAIT & POSTURE (2005)

添加到收藏夹

Article Rheumatology

Secondary gait changes in patients with medial compartment knee osteoarthritis -: Increased load at the ankle, knee, and hip during walking

A Mündermann et al.

ARTHRITIS AND RHEUMATISM (2005)

添加到收藏夹

Article Neurosciences

Effects of bilateral subthalamic stimulation on gait kinematics and kinetics in Parkinson's disease

M Ferrarin et al.

EXPERIMENTAL BRAIN RESEARCH (2005)

添加到收藏夹

Article Neurosciences

Reliability of the GAITRite® walkway system for the quantification of temporo-spatial parameters of gait in young and older people

HB Menz et al.

GAIT & POSTURE (2004)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.