Cargando…

An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors

This paper aims to assess the use of Inertial Measurement Unit (IMU) sensors to identify gait asymmetry by extracting automatic gait features. We design and develop an android app to collect real time synchronous IMU data from legs. The results from our method are validated using a Qualisys Motion C...

Descripción completa

Detalles Bibliográficos
Autores principales:	Anwary, Arif Reza, Yu, Hongnian, Vassallo, Michael
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855014/ https://www.ncbi.nlm.nih.gov/pubmed/29495299 http://dx.doi.org/10.3390/s18020676

Ejemplares similares

Automatic Assessments of Parkinsonian Gait with Wearable Sensors for Human Assistive Systems
por: Han, Yi, et al.
Publicado: (2023)

An Enhanced Ensemble Deep Neural Network Approach for Elderly Fall Detection System Based on Wearable Sensors
por: Mohammad, Zabir, et al.
Publicado: (2023)

Gait Analysis Using Wearable Sensors
por: Tao, Weijun, et al.
Publicado: (2012)

An Automatic Gait Analysis Pipeline for Wearable Sensors: A Pilot Study in Parkinson’s Disease
por: Peraza, Luis R., et al.
Publicado: (2021)

Evaluation of gait characteristics in subjects with locomotive syndrome using wearable gait sensors
por: Saito, Yuki, et al.
Publicado: (2022)

Gait Variability to Phenotype Common Orthopedic Gait Impairments Using Wearable Sensors
por: Kushioka, Junichi, et al.
Publicado: (2022)

Towards Wearable-Inertial-Sensor-Based Gait Posture Evaluation for Subjects with Unbalanced Gaits
por: Qiu, Sen, et al.
Publicado: (2020)

A dataset for wearable sensors validation in gait analysis
por: Pierleoni, Paola, et al.
Publicado: (2020)

P133. ALTERATIONS OF GAIT MECHANICS OBSERVED USING WEARABLE GAIT SENSORS IN PATIENTS WITH DIABETIC NEUROPATHY
por: Haffner, Zoe K., et al.
Publicado: (2022)

Using Wearable Sensors and Machine Learning to Automatically Detect Freezing of Gait during a FOG-Provoking Test
por: Reches, Tal, et al.
Publicado: (2020)

Monitoring gait in multiple sclerosis with novel wearable motion sensors
por: Moon, Yaejin, et al.
Publicado: (2017)

Wearable sensors objectively measure gait parameters in Parkinson’s disease
por: Schlachetzki, Johannes C. M., et al.
Publicado: (2017)

Wearable Sensor-Based Gait Analysis for Age and Gender Estimation
por: Ahad, Md Atiqur Rahman, et al.
Publicado: (2020)

Abnormal Gait Detection Using Wearable Hall-Effect Sensors
por: Chheng, Courtney, et al.
Publicado: (2021)

Wearable Feet Pressure Sensor for Human Gait and Falling Diagnosis
por: Bucinskas, Vytautas, et al.
Publicado: (2021)

Using Wearable Sensors to Assess Freezing of Gait in the Real World
por: May, David S., et al.
Publicado: (2023)

Quantifying Variation in Gait Features from Wearable Inertial Sensors Using Mixed Effects Models
por: Cresswell, Kellen Garrison, et al.
Publicado: (2017)

Towards an Inertial Sensor-Based Wearable Feedback System for Patients after Total Hip Arthroplasty: Validity and Applicability for Gait Classification with Gait Kinematics-Based Features
por: Teufl, Wolfgang, et al.
Publicado: (2019)

Gait Parameters Measured from Wearable Sensors Reliably Detect Freezing of Gait in a Stepping in Place Task
por: Diep, Cameron, et al.
Publicado: (2021)

Evaluation of Arm Swing Features and Asymmetry during Gait in Parkinson’s Disease Using the Azure Kinect Sensor
por: Ferraris, Claudia, et al.
Publicado: (2022)

Gait Kinematic Analysis in Water Using Wearable Inertial Magnetic Sensors
por: Fantozzi, Silvia, et al.
Publicado: (2015)

A flexible wearable sensor for knee flexion assessment during gait
por: Papi, Enrica, et al.
Publicado: (2018)

Identification of Gait Motion Patterns Using Wearable Inertial Sensor Network
por: Moon, Kee S., et al.
Publicado: (2019)

Foot Pressure Wearable Sensors for Freezing of Gait Detection in Parkinson’s Disease
por: Marcante, Andrea, et al.
Publicado: (2020)

Recognition of freezing of gait in Parkinson’s disease based on combined wearable sensors
por: Ren, Kang, et al.
Publicado: (2022)

Impact of Gait Events Identification through Wearable Inertial Sensors on Clinical Gait Analysis of Children with Idiopathic Toe Walking
por: Brasiliano, Paolo, et al.
Publicado: (2023)

Identifying the Effects of Age and Speed on Whole-Body Gait Symmetry by Using a Single Wearable Sensor
por: Casabona, Antonino, et al.
Publicado: (2022)

Using Lower Limb Wearable Sensors to Identify Gait Modalities: A Machine-Learning-Based Approach
por: Hughes, Liam David, et al.
Publicado: (2023)

Gait Analysis Methods: An Overview of Wearable and Non-Wearable Systems, Highlighting Clinical Applications
por: Muro-de-la-Herran, Alvaro, et al.
Publicado: (2014)

Drift Removal for Improving the Accuracy of Gait Parameters Using Wearable Sensor Systems
por: Takeda, Ryo, et al.
Publicado: (2014)

Wearable Sensor Based Stooped Posture Estimation in Simulated Parkinson’s Disease Gaits
por: Dang, Quoc Khanh, et al.
Publicado: (2019)

Multiple-Wearable-Sensor-Based Gait Classification and Analysis in Patients with Neurological Disorders
por: Hsu, Wei-Chun, et al.
Publicado: (2018)

Wearable Inertial Sensors for Gait Analysis in Adults with Osteoarthritis—A Scoping Review
por: Kobsar, Dylan, et al.
Publicado: (2020)

Wearable Sensor-Based Real-Time Gait Detection: A Systematic Review
por: Prasanth, Hari, et al.
Publicado: (2021)

Wearable sensors detect impaired gait and coordination in LBSL during remote assessments
por: Smith Fine, Amena, et al.
Publicado: (2022)

Footwear Decreases Gait Asymmetry during Running
por: Hoerzer, Stefan, et al.
Publicado: (2015)

General Mental Health Is Associated with Gait Asymmetry
por: Nagano, Hanatsu, et al.
Publicado: (2019)

Effect Of Transtibial Prosthesis Mass On Gait Asymmetries
por: Seth, M., et al.
Publicado: (2020)

Explainable Artificial Intelligence and Wearable Sensor-Based Gait Analysis to Identify Patients with Osteopenia and Sarcopenia in Daily Life
por: Kim, Jeong-Kyun, et al.
Publicado: (2022)

A Multi-Path Compensation Method for Ranging in Wearable Ultrasonic Sensor Networks for Human Gait Analysis
por: Ashhar, Karalikkadan, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_grmhkrdun78hvqr1ip1bd7oi62