Cargando…

A Lightweight Hierarchical Activity Recognition Framework Using Smartphone Sensors

Activity recognition for the purposes of recognizing a user's intentions using multimodal sensors is becoming a widely researched topic largely based on the prevalence of the smartphone. Previous studies have reported the difficulty in recognizing life-logs by only using a smartphone due to the...

Descripción completa

Detalles Bibliográficos
Autores principales:	Han, Manhyung, Bang, Jae Hun, Nugent, Chris, McClean, Sally, Lee, Sungyoung
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2014
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208169/ https://www.ncbi.nlm.nih.gov/pubmed/25184486 http://dx.doi.org/10.3390/s140916181

Ejemplares similares

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

Behavior Life Style Analysis for Mobile Sensory Data in Cloud Computing through MapReduce
por: Hussain, Shujaat, et al.
Publicado: (2014)

Comprehensive Context Recognizer Based on Multimodal Sensors in a Smartphone
por: Han, Manhyung, et al.
Publicado: (2012)

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

A Framework for Supervising Lifestyle Diseases Using Long-Term Activity Monitoring
por: Han, Yongkoo, et al.
Publicado: (2012)

Optimal Parameter Exploration for Online Change-Point Detection in Activity Monitoring Using Genetic Algorithms
por: Khan, Naveed, et al.
Publicado: (2016)

Smartphone Location-Independent Physical Activity Recognition Based on Transportation Natural Vibration Analysis
por: Hur, Taeho, et al.
Publicado: (2017)

Intelligent patient management
por: McClean, Sally, et al.
Publicado: (2009)

Hierarchical Recognition Scheme for Human Facial Expression Recognition Systems
por: Siddiqi, Muhammad Hameed, et al.
Publicado: (2013)

A Smartphone Lightweight Method for Human Activity Recognition Based on Information Theory
por: Bragança, Hendrio, et al.
Publicado: (2020)

An Efficient and Lightweight Deep Learning Model for Human Activity Recognition Using Smartphones
por: Ankita,, et al.
Publicado: (2021)

Towards a Clustering Guided Hierarchical Framework for Sensor-Based Activity Recognition
por: Wang, Aiguo, et al.
Publicado: (2021)

An Energy Efficient Cooperative Hierarchical MIMO Clustering Scheme for Wireless Sensor Networks
por: Nasim, Mehwish, et al.
Publicado: (2011)

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

Some challenges facing Lean Thinking in healthcare
por: Young, Terry, et al.
Publicado: (2009)

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

Automatic Annotation for Human Activity Recognition in Free Living Using a Smartphone
por: Cruciani, Federico, et al.
Publicado: (2018)

Human activity recognition : using wearable sensors and smartphones
por: Labrador, Miguel A, et al.
Publicado: (2014)

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

Human Physical Activity Recognition Using Smartphone Sensors
por: Voicu, Robert-Andrei, et al.
Publicado: (2019)

Automated lead toxicity prediction using computational modelling framework
por: Chaurasia, Priyanka, et al.
Publicado: (2023)

A Hierarchical Deep Fusion Framework for Egocentric Activity Recognition using a Wearable Hybrid Sensor System
por: Yu, Haibin, et al.
Publicado: (2019)

Modelling mortality and discharge of hospitalized stroke patients using a phase-type recovery model
por: Jones, Bruce, et al.
Publicado: (2018)

Lightweight Football Motion Recognition and Intensity Analysis Using Low-Cost Wearable Sensors
por: Xie, Qian, et al.
Publicado: (2023)

A lightweight hierarchical convolution network for brain tumor segmentation
por: Wang, Yuhu, et al.
Publicado: (2022)

Falling and Drowning Detection Framework Using Smartphone Sensors
por: Alqahtani, Abdullah, et al.
Publicado: (2022)

A Unified Framework for Activity Recognition-Based Behavior Analysis and Action Prediction in Smart Homes
por: Fatima, Iram, et al.
Publicado: (2013)

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

Abnormal Road Surface Recognition Based on Smartphone Acceleration Sensor
por: Du, Ronghua, et al.
Publicado: (2020)

The Empowering Role of Mobile Apps in Behavior Change Interventions: The Gray Matters Randomized Controlled Trial
por: Hartin, Phillip J, et al.
Publicado: (2016)

A Lightweight Attention-Based CNN Model for Efficient Gait Recognition with Wearable IMU Sensors
por: Huang, Haohua, et al.
Publicado: (2021)

Anatomical Entity Recognition with a Hierarchical Framework Augmented by External Resources
por: Xu, Yan, et al.
Publicado: (2014)

Towards Human Activity Recognition: A Hierarchical Feature Selection Framework
por: Wang, Aiguo, et al.
Publicado: (2018)

Patients with Substance Abuse Problems: Effective Identification, Diagnosis, and Treatment
por: McClean, Rowan
Publicado: (2008)

Lightweight Scene Text Recognition Based on Transformer
por: Luan, Xin, et al.
Publicado: (2023)

A Hybrid Multimodal Emotion Recognition Framework for UX Evaluation Using Generalized Mixture Functions
por: Razzaq, Muhammad Asif, et al.
Publicado: (2023)

Hierarchical structural component model for pathway analysis of common variants
por: Jiang, Nan, et al.
Publicado: (2020)

Human Activity Recognition Using Inertial Sensors in a Smartphone: An Overview
por: Sousa Lima, Wesllen, et al.
Publicado: (2019)

Smartphone-Based Human Sitting Behaviors Recognition Using Inertial Sensor
por: Sinha, Vikas Kumar, et al.
Publicado: (2021)

Human Activity Recognition for Indoor Localization Using Smartphone Inertial Sensors
por: Moreira, Dinis, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_epn89h0vdhsm1dp60ln0j0g1cn