Cargando…

Automatic Annotation for Human Activity Recognition in Free Living Using a Smartphone

Data annotation is a time-consuming process posing major limitations to the development of Human Activity Recognition (HAR) systems. The availability of a large amount of labeled data is required for supervised Machine Learning (ML) approaches, especially in the case of online and personalized appro...

Descripción completa

Detalles Bibliográficos
Autores principales:	Cruciani, Federico, Cleland, Ian, Nugent, Chris, McCullagh, Paul, Synnes, Kåre, Hallberg, Josef
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068801/ https://www.ncbi.nlm.nih.gov/pubmed/29987218 http://dx.doi.org/10.3390/s18072203

Ejemplares similares

Optimal Placement of Accelerometers for the Detection of Everyday Activities
por: Cleland, Ian, et al.
Publicado: (2013)

Hardware for Recognition of Human Activities: A Review of Smart Home and AAL Related Technologies
por: Sanchez-Comas, Andres, et al.
Publicado: (2020)

Analyzing Body Movements within the Laban Effort Framework Using a Single Accelerometer
por: Kikhia, Basel, et al.
Publicado: (2014)

Automatic Transportation Mode Recognition on Smartphone Data Based on Deep Neural Networks
por: Delli Priscoli, Francesco, et al.
Publicado: (2020)

Can a young muscle's stem cell secretome prolong our lives?
por: McCullagh, Karl JA
Publicado: (2012)

Using Convolutional Neural Networks with Multiple Thermal Sensors for Unobtrusive Pose Recognition
por: Burns, Matthew, et al.
Publicado: (2020)

Automatic Annotation of Unlabeled Data from Smartphone-Based Motion and Location Sensors
por: Pius Owoh, Nsikak, et al.
Publicado: (2018)

A Semi-Automatic Annotation Approach for Human Activity Recognition
por: Bota, Patrícia, et al.
Publicado: (2019)

Mining for diagnostic information in body surface potential maps: A comparison of feature selection techniques
por: Finlay, Dewar D, et al.
Publicado: (2005)

A Lightweight Hierarchical Activity Recognition Framework Using Smartphone Sensors
por: Han, Manhyung, et al.
Publicado: (2014)

SemImput: Bridging Semantic Imputation with Deep Learning for Complex Human Activity Recognition
por: Razzaq, Muhammad Asif, et al.
Publicado: (2020)

Evaluation of Prompted Annotation of Activity Data Recorded from a Smart Phone
por: Cleland, Ian, et al.
Publicado: (2014)

Large-scale biomedical concept recognition: an evaluation of current automatic annotators and their parameters
por: Funk, Christopher, et al.
Publicado: (2014)

A Personalized Self-Management Rehabilitation System for Stroke Survivors: A Quantitative Gait Analysis Using a Smart Insole
por: Davies, Richard John, et al.
Publicado: (2016)

Data Mining and Fusion Framework for In-Home Monitoring Applications
por: Ekerete, Idongesit, et al.
Publicado: (2023)

The automatic annotation of bacterial genomes
por: Richardson, Emily J., et al.
Publicado: (2013)

Selection of optimal recording sites for limited lead body surface potential mapping: A sequential selection based approach
por: Finlay, Dewar D, et al.
Publicado: (2006)

Live Spoofing Detection for Automatic Human Activity Recognition Applications
por: Huszár, Viktor Dénes, et al.
Publicado: (2021)

Neural Networks for Automatic Posture Recognition in Ambient-Assisted Living
por: Guerra, Bruna Maria Vittoria, et al.
Publicado: (2022)

Good practice : communication Skills in English for the Medical Practitioner.
por: McCullagh, Marie
Publicado: (2008)

They Said He Would Never Read
por: McCullagh, Mary
Publicado: (1966)

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

Evaluating the Impact of a Two-Stage Multivariate Data Cleansing Approach to Improve to the Performance of Machine Learning Classifiers: A Case Study in Human Activity Recognition
por: Neira-Rodado, Dionicio, et al.
Publicado: (2020)

Automatic Bounding Box Annotation with Small Training Datasets for Industrial Manufacturing
por: Geiß, Manuela, et al.
Publicado: (2023)

Three Examples of Chordoma
por: McCullagh, Graham P.
Publicado: (1934)

Four Cases of Plasma-Cell Tumour
por: McCullagh, G. P.
Publicado: (1933)

THE ABROGATION OF SHEEP ERYTHROCYTE TOLERANCE IN RATS BY MEANS OF THE TRANSFER OF ALLOGENEIC LYMPHOCYTES
por: McCullagh, Peter J.
Publicado: (1970)

Automatic Pose Recognition for Monitoring Dangerous Situations in Ambient-Assisted Living
por: Guerra, Bruna Maria Vittoria, et al.
Publicado: (2020)

Automatic Annotation of Narrative Radiology Reports
por: Krsnik, Ivan, et al.
Publicado: (2020)

Automatic Annotation of Change Detection Images
por: Neptune, Nathalie, et al.
Publicado: (2021)

Automatic Annotation of Subsea Pipelines Using Deep Learning
por: Stamoulakatos, Anastasios, et al.
Publicado: (2020)

Semi-automatic conversion of BioProp semantic annotation to PASBio annotation
por: Tsai, Richard Tzong-Han, et al.
Publicado: (2008)

Gene expression analysis reveals a 5-gene signature for progression-free survival in prostate cancer
por: Mou, Zhuofan, et al.
Publicado: (2022)

Generalized linear models /
por: McCullagh, P. (Peter), 1952-
Publicado: (1999)

Management of Familial Ovarian Teratoma: The Need for Guidance
por: Braungart, Sarah, et al.
Publicado: (2016)

Enhancement of de novo sequencing, assembly and annotation of the Mongolian gerbil genome with transcriptome sequencing and assembly from several different tissues
por: Cheng, Shifeng, et al.
Publicado: (2019)

Automatic annotation of eukaryotic genes, pseudogenes and promoters
por: Solovyev, Victor, et al.
Publicado: (2006)

Automatically annotating documents with normalized gene lists
por: Crim, Jeremiah, et al.
Publicado: (2005)

Improving automatic GO annotation with semantic similarity
por: Sarker, Bishnu, et al.
Publicado: (2022)

KIPEs3: Automatic annotation of biosynthesis pathways
por: Rempel, Andreas, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_ajgduu7gct4s7a4raompvibtr6