Cargando…

An Enhanced Ensemble Deep Neural Network Approach for Elderly Fall Detection System Based on Wearable Sensors

Fatal injuries and hospitalizations caused by accidental falls are significant problems among the elderly. Detecting falls in real-time is challenging, as many falls occur in a short period. Developing an automated monitoring system that can predict falls before they happen, provide safeguards durin...

Descripción completa

Detalles Bibliográficos
Autores principales:	Mohammad, Zabir, Anwary, Arif Reza, Mridha, Muhammad Firoz, Shovon, Md Sakib Hossain, Vassallo, Michael
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10223485/ https://www.ncbi.nlm.nih.gov/pubmed/37430686 http://dx.doi.org/10.3390/s23104774

Ejemplares similares

An Automatic Gait Feature Extraction Method for Identifying Gait Asymmetry Using Wearable Sensors
por: Anwary, Arif Reza, et al.
Publicado: (2018)

QAmplifyNet: pushing the boundaries of supply chain backorder prediction using interpretable hybrid quantum-classical neural network
por: Jahin, Md Abrar, et al.
Publicado: (2023)

Strategies for Enhancing the Multi-Stage Classification Performances of HER2 Breast Cancer from Hematoxylin and Eosin Images
por: Shovon, Md. Sakib Hossain, et al.
Publicado: (2022)

A Class-Imbalanced Deep Learning Fall Detection Algorithm Using Wearable Sensors
por: Zhang, Jing, et al.
Publicado: (2021)

A Novel Hybrid Deep Neural Network to Predict Pre-impact Fall for Older People Based on Wearable Inertial Sensors
por: Yu, Xiaoqun, et al.
Publicado: (2020)

Survey on Fall Detection and Fall Prevention Using Wearable and External Sensors
por: Delahoz, Yueng Santiago, et al.
Publicado: (2014)

A Hierarchical Ensemble Deep Learning Activity Recognition Approach with Wearable Sensors Based on Focal Loss
por: Zhao, Ting, et al.
Publicado: (2022)

Smart Wearables with Sensor Fusion for Fall Detection in Firefighting
por: Chai, Xiaoqing, et al.
Publicado: (2021)

Wearable Fall Detector Using Recurrent Neural Networks
por: Luna-Perejón, Francisco, et al.
Publicado: (2019)

Automated fall risk assessment of elderly using wearable devices
por: Haescher, Marian, et al.
Publicado: (2020)

Detecting Falls with Wearable Sensors Using Machine Learning Techniques
por: Özdemir, Ahmet Turan, et al.
Publicado: (2014)

Wearable Fall Detector using Integrated Sensors and Energy Devices
por: Jung, Sungmook, et al.
Publicado: (2015)

Development of a Wearable-Sensor-Based Fall Detection System
por: Wu, Falin, et al.
Publicado: (2015)

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

State-of-the-Art Wearable Sensors and Possibilities for Radar in Fall Prevention
por: Argañarás, José Gabriel, et al.
Publicado: (2021)

Wearable Sensor Systems for Fall Risk Assessment: A Review
por: Subramaniam, Sophini, et al.
Publicado: (2022)

Type and Location of Wearable Sensors for Monitoring Falls during Static and Dynamic Tasks in Healthy Elderly: A Review
por: Rucco, Rosaria, et al.
Publicado: (2018)

Wearable Stretch Sensors for Human Movement Monitoring and Fall Detection in Ergonomics
por: Chander, Harish, et al.
Publicado: (2020)

Home‐based monitoring of falls using wearable sensors in Parkinson's disease
por: Silva de Lima, Ana Lígia, et al.
Publicado: (2019)

A Study of One-Class Classification Algorithms for Wearable Fall Sensors
por: Santoyo-Ramón, José Antonio, et al.
Publicado: (2021)

Fall Risk Assessment Using Wearable Sensors: A Narrative Review
por: Ferreira, Rafael N., et al.
Publicado: (2022)

Ensemble of One-Class Classifiers for Personal Risk Detection Based on Wearable Sensor Data
por: Rodríguez, Jorge, et al.
Publicado: (2016)

A dataset for the development and optimization of fall detection algorithms based on wearable sensors
por: Cotechini, Valentina, et al.
Publicado: (2019)

Digital assessment of falls risk, frailty, and mobility impairment using wearable sensors
por: Greene, Barry R., et al.
Publicado: (2019)

Patch-Transformer Network: A Wearable-Sensor-Based Fall Detection Method
por: Wang, Shaobing, et al.
Publicado: (2023)

Deep Learning-Based IoT System for Remote Monitoring and Early Detection of Health Issues in Real-Time
por: Islam, Md. Reazul, et al.
Publicado: (2023)

QDeep: distance-based protein model quality estimation by residue-level ensemble error classifications using stacked deep residual neural networks
por: Shuvo, Md Hossain, et al.
Publicado: (2020)

Classification of Daily Activities for the Elderly Using Wearable Sensors
por: Liu, Jian, et al.
Publicado: (2017)

On the Comparison of Wearable Sensor Data Fusion to a Single Sensor Machine Learning Technique in Fall Detection
por: Tsinganos, Panagiotis, et al.
Publicado: (2018)

A Hybrid Spectral Clustering and Deep Neural Network Ensemble Algorithm for Intrusion Detection in Sensor Networks
por: Ma, Tao, et al.
Publicado: (2016)

An Analysis on Sensor Locations of the Human Body for Wearable Fall Detection Devices: Principles and Practice
por: Özdemir, Ahmet Turan
Publicado: (2016)

Ensemble learning of diffractive optical networks
por: Rahman, Md Sadman Sakib, et al.
Publicado: (2021)

Intelligent Identification of Jute Pests Based on Transfer Learning and Deep Convolutional Neural Networks
por: Sourav, Md Sakib Ullah, et al.
Publicado: (2022)

A Large-Scale Open Motion Dataset (KFall) and Benchmark Algorithms for Detecting Pre-impact Fall of the Elderly Using Wearable Inertial Sensors
por: Yu, Xiaoqun, et al.
Publicado: (2021)

Feature selection for elderly faller classification based on wearable sensors
por: Howcroft, Jennifer, et al.
Publicado: (2017)

Characterizing Dynamic Walking Patterns and Detecting Falls with Wearable Sensors Using Gaussian Process Methods
por: Kim, Taehwan, et al.
Publicado: (2017)

Freezing of gait and fall detection in Parkinson’s disease using wearable sensors: a systematic review
por: Silva de Lima, Ana Lígia, et al.
Publicado: (2017)

Multiphase Identification Algorithm for Fall Recording Systems Using a Single Wearable Inertial Sensor
por: Hsieh, Chia-Yeh, et al.
Publicado: (2021)

Predicting Fall Counts Using Wearable Sensors: A Novel Digital Biomarker for Parkinson’s Disease
por: Greene, Barry R., et al.
Publicado: (2021)

A Systematic Review of Wearable Sensor-Based Technologies for Fall Risk Assessment in Older Adults
por: Chen, Manting, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_anuc5r6br9utckilisu40ice7t