Cargando…

Smartphone Motion Sensor-Based Complex Human Activity Identification Using Deep Stacked Autoencoder Algorithm for Enhanced Smart Healthcare System

Human motion analysis using a smartphone-embedded accelerometer sensor provided important context for the identification of static, dynamic, and complex sequence of activities. Research in smartphone-based motion analysis are implemented for tasks, such as health status monitoring, fall detection an...

Descripción completa

Detalles Bibliográficos
Autores principales:	Alo, Uzoma Rita, Nweke, Henry Friday, Teh, Ying Wah, Murtaza, Ghulam
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663988/ https://www.ncbi.nlm.nih.gov/pubmed/33167424 http://dx.doi.org/10.3390/s20216300

Ejemplares similares

Non-Pharmaceutical Interventions against COVID-19 Pandemic: Review of Contact Tracing and Social Distancing Technologies, Protocols, Apps, Security and Open Research Directions
por: Alo, Uzoma Rita, et al.
Publicado: (2021)

Efficacy prediction of noninvasive ventilation failure based on the stacking ensemble algorithm and autoencoder
por: Liang, Na, et al.
Publicado: (2022)

Leveraging Wearable Sensors for Human Daily Activity Recognition with Stacked Denoising Autoencoders
por: Ni, Qin, et al.
Publicado: (2020)

A Human Activity Recognition Algorithm Based on Stacking Denoising Autoencoder and LightGBM
por: Gao, Xile, et al.
Publicado: (2019)

Stacked Autoencoders for the P300 Component Detection
por: Vařeka, Lukáš, et al.
Publicado: (2017)

An Improved Stacked Autoencoder for Metabolomic Data Classification
por: Fan, Xiaojing, et al.
Publicado: (2021)

Classification of Thyroid Nodules with Stacked Denoising Sparse Autoencoder
por: Li, Zexin, et al.
Publicado: (2020)

Stacked Autoencoders for Outlier Detection in Over-the-Horizon Radar Signals
por: Protopapadakis, Eftychios, et al.
Publicado: (2017)

Stacked-autoencoder-based model for COVID-19 diagnosis on CT images
por: Li, Daqiu, et al.
Publicado: (2020)

Radar HRRP Target Recognition Based on Stacked Autoencoder and Extreme Learning Machine
por: Zhao, Feixiang, et al.
Publicado: (2018)

Fault Diagnosis of Permanent Magnet Synchronous Motor Based on Stacked Denoising Autoencoder
por: Xu, Xiaowei, et al.
Publicado: (2021)

SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost
por: Liu, Dayun, et al.
Publicado: (2021)

Optimal Deep Stacked Sparse Autoencoder Based Osteosarcoma Detection and Classification Model
por: Fakieh, Bahjat, et al.
Publicado: (2022)

SGAEMDA: Predicting miRNA-Disease Associations Based on Stacked Graph Autoencoder
por: Wang, Shudong, et al.
Publicado: (2022)

SARS-CoV-2 virus classification based on stacked sparse autoencoder
por: Coutinho, Maria G.F., et al.
Publicado: (2022)

A Semi-Supervised Stacked Autoencoder Using the Pseudo Label for Classification Tasks
por: Lai, Jie, et al.
Publicado: (2023)

Fusion of Smartphone Motion Sensors for Physical Activity Recognition
por: Shoaib, Muhammad, et al.
Publicado: (2014)

Automatic Sleep Stage Scoring Using Time-Frequency Analysis and Stacked Sparse Autoencoders
por: Tsinalis, Orestis, et al.
Publicado: (2015)

Synthetic Aperture Radar Target Recognition with Feature Fusion Based on a Stacked Autoencoder
por: Kang, Miao, et al.
Publicado: (2017)

Detection of preterm birth in electrohysterogram signals based on wavelet transform and stacked sparse autoencoder
por: Chen, Lili, et al.
Publicado: (2019)

Sparsity-Penalized Stacked Denoising Autoencoders for Imputing Single-Cell RNA-seq Data
por: Chi, Weilai, et al.
Publicado: (2020)

DFTSA-Net: Deep Feature Transfer-Based Stacked Autoencoder Network for DME Diagnosis
por: Atteia, Ghada, et al.
Publicado: (2021)

Multi-Gate Mixture-of-Experts Stacked Autoencoders for Quality Prediction in Blast Furnace Ironmaking
por: Zhu, Hongyu, et al.
Publicado: (2022)

Prediction of miRNA–Disease Associations by Cascade Forest Model Based on Stacked Autoencoder
por: Hu, Xiang, et al.
Publicado: (2023)

Motion-To-BMI: Using Motion Sensors to Predict the Body Mass Index of Smartphone Users
por: Yao, Yumin, et al.
Publicado: (2020)

Classification Accuracies of Physical Activities Using Smartphone Motion Sensors
por: Wu, Wanmin, et al.
Publicado: (2012)

User-Independent Motion State Recognition Using Smartphone Sensors
por: Gu, Fuqiang, et al.
Publicado: (2015)

Performance Analysis of Motion-Sensor Behavior for User Authentication on Smartphones
por: Shen, Chao, et al.
Publicado: (2016)

Performance Evaluation of Smartphone Inertial Sensors Measurement for Range of Motion
por: Mourcou, Quentin, et al.
Publicado: (2015)

Hyperspectral Video Analysis by Motion and Intensity Preprocessing and Subspace Autoencoding
por: Vitale, Raffaele, et al.
Publicado: (2022)

Marginalised Stacked Denoising Autoencoders for Robust Representation of Real-Time Multi-View Action Recognition
por: Gu, Feng, et al.
Publicado: (2015)

An Adaptive EEG Feature Extraction Method Based on Stacked Denoising Autoencoder for Mental Fatigue Connectivity
por: Yu, Zhongliang, et al.
Publicado: (2021)

Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder
por: Wang, Shui-Hua, et al.
Publicado: (2021)

Predicting chemical structure using reinforcement learning with a stack-augmented conditional variational autoencoder
por: Kim, Hwanhee, et al.
Publicado: (2022)

Extracting a Novel Emotional EEG Topographic Map Based on a Stacked Autoencoder Network
por: Vafaei, Elnaz, et al.
Publicado: (2023)

Validation of a smartphone application and wearable sensor for measurements of wrist motions
por: Engstrand, Fredrik, et al.
Publicado: (2021)

Corrigendum: Hyperspectral Video Analysis by Motion and Intensity Preprocessing and Subspace Autoencoding
por: Vitale, Raffaele, et al.
Publicado: (2022)

Human Motion Enhancement via Tobit Kalman Filter-Assisted Autoencoder
por: LANNAN, NATE, et al.
Publicado: (2022)

Segmenting Brain Tissues from Chinese Visible Human Dataset by Deep-Learned Features with Stacked Autoencoder
por: Zhao, Guangjun, et al.
Publicado: (2016)

A Variational Stacked Autoencoder with Harmony Search Optimizer for Valve Train Fault Diagnosis of Diesel Engine †
por: Chen, Kun, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_bk1rh6jku1qp49tjktl86v18p1