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Human Activity Recognition Data Analysis: History, Evolutions, and New Trends

Sensors (Basel, Switzerland), 2022-04, Vol.22 (9), p.3401

2022

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A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning

Sensors (Basel, Switzerland), 2021-09, Vol.21 (18), p.6037

2021

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Increasing trend of wearables and multimodal interface for human activity monitoring: A review

Biosensors & bioelectronics, 2017-04, Vol.90, p.298-307

2017

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Aging Well in the Digital Age: Technology in Processes of Selective Optimization with Compensation

The journals of gerontology. Series B, Psychological sciences and social sciences, 2020-10, Vol.75 (9), p.2008-2017

2020

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An Investigation of Activity Profiles of Older Adults

The journals of gerontology. Series B, Psychological sciences and social sciences, 2014-09, Vol.69 (5), p.809-821

2014

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Rehab-Net: Deep Learning Framework for Arm Movement Classification Using Wearable Sensors for Stroke Rehabilitation

IEEE transactions on biomedical engineering, 2019-11, Vol.66 (11), p.3026-3037

2019

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Prediction of Human Activities Based on a New Structure of Skeleton Features and Deep Learning Model

Sensors (Basel, Switzerland), 2020-09, Vol.20 (17), p.4944

2020

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A Novel Human Activity Recognition and Prediction in Smart Home Based on Interaction

Sensors (Basel, Switzerland), 2019-10, Vol.19 (20), p.4474

2019

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A Robust Feature Extraction Model for Human Activity Characterization Using 3-Axis Accelerometer and Gyroscope Data

Sensors (Basel, Switzerland), 2020-12, Vol.20 (23), p.6990

2020

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Predictive Model for Human Activity Recognition Based on Machine Learning and Feature Selection Techniques

International journal of environmental research and public health, 2022-09, Vol.19 (19), p.12272

2022

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An Unobtrusive Human Activity Recognition System Using Low Resolution Thermal Sensors, Machine and Deep Learning

IEEE transactions on biomedical engineering, 2023-01, Vol.70 (1), p.115-124

2023

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Neural Networks for Automatic Posture Recognition in Ambient-Assisted Living

Sensors (Basel, Switzerland), 2022-03, Vol.22 (7), p.2609

2022

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Using a Hybrid Neural Network and a Regularized Extreme Learning Machine for Human Activity Recognition with Smartphone and Smartwatch

Sensors (Basel, Switzerland), 2023-03, Vol.23 (6), p.3354

2023

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Enhancing Human Activity Recognition in Smart Homes with Self-Supervised Learning and Self-Attention

Sensors (Basel, Switzerland), 2024-01, Vol.24 (3), p.884

2024

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Human Activity Recognition with an HMM-Based Generative Model

Sensors (Basel, Switzerland), 2023, Vol.23 (3), p.1390

2023

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Human Activity Recognition Using Attention-Mechanism-Based Deep Learning Feature Combination

Sensors (Basel, Switzerland), 2023-06, Vol.23 (12), p.5715

2023

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Wearable Sensor-Based Human Activity Recognition in the Smart Healthcare System

Computational intelligence and neuroscience, 2022, Vol.2022, p.1391906-31

2022

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The heart of Detroit study: a window into urban middle-aged and older African Americans' daily lives to understand psychosocial determinants of cardiovascular disease risk

BMC psychiatry, 2023-10, Vol.23 (1), p.766-766, Article 766

2023

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Multi-Sensor Data Fusion and CNN-LSTM Model for Human Activity Recognition System

Sensors (Basel, Switzerland), 2023-05, Vol.23 (10), p.4750

2023

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Multilabel Classification Methods for Human Activity Recognition: A Comparison of Algorithms

Sensors (Basel, Switzerland), 2022-03, Vol.22 (6), p.2353

2022

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Human Activity Recognition Using Hybrid Coronavirus Disease Optimization Algorithm for Internet of Medical Things

Sensors (Basel, Switzerland), 2023-06, Vol.23 (13), p.5862

2023

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Framework for Simultaneous Indoor Localization, Mapping, and Human Activity Recognition in Ambient Assisted Living Scenarios

Sensors (Basel, Switzerland), 2022-04, Vol.22 (9), p.3364

2022

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Dual-Stream Contrastive Learning for Channel State Information Based Human Activity Recognition

IEEE journal of biomedical and health informatics, 2023-01, Vol.27 (1), p.329-338

2023

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Measurement characteristics of the engagement in meaningful activities survey in an age-diverse sample

The American journal of occupational therapy, 2012-03, Vol.66 (2), p.e20

Eakman, Aaron M

2012

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Using Direct Acyclic Graphs to Enhance Skeleton-Based Action Recognition with a Linear-Map Convolution Neural Network

Sensors (Basel, Switzerland), 2021-04, Vol.21 (9), p.3112

2021

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Human Activity Recognition Data Analysis: History, Evolutions, and New Trends

A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning

Increasing trend of wearables and multimodal interface for human activity monitoring: A review

Aging Well in the Digital Age: Technology in Processes of Selective Optimization with Compensation

An Investigation of Activity Profiles of Older Adults

Rehab-Net: Deep Learning Framework for Arm Movement Classification Using Wearable Sensors for Stroke Rehabilitation

Prediction of Human Activities Based on a New Structure of Skeleton Features and Deep Learning Model

A Novel Human Activity Recognition and Prediction in Smart Home Based on Interaction

A Robust Feature Extraction Model for Human Activity Characterization Using 3-Axis Accelerometer and Gyroscope Data

Predictive Model for Human Activity Recognition Based on Machine Learning and Feature Selection Techniques

An Unobtrusive Human Activity Recognition System Using Low Resolution Thermal Sensors, Machine and Deep Learning

Neural Networks for Automatic Posture Recognition in Ambient-Assisted Living

Using a Hybrid Neural Network and a Regularized Extreme Learning Machine for Human Activity Recognition with Smartphone and Smartwatch

Enhancing Human Activity Recognition in Smart Homes with Self-Supervised Learning and Self-Attention

Human Activity Recognition with an HMM-Based Generative Model

Human Activity Recognition Using Attention-Mechanism-Based Deep Learning Feature Combination

Wearable Sensor-Based Human Activity Recognition in the Smart Healthcare System

The heart of Detroit study: a window into urban middle-aged and older African Americans' daily lives to understand psychosocial determinants of cardiovascular disease risk

Multi-Sensor Data Fusion and CNN-LSTM Model for Human Activity Recognition System

Multilabel Classification Methods for Human Activity Recognition: A Comparison of Algorithms

Human Activity Recognition Using Hybrid Coronavirus Disease Optimization Algorithm for Internet of Medical Things

Framework for Simultaneous Indoor Localization, Mapping, and Human Activity Recognition in Ambient Assisted Living Scenarios

Dual-Stream Contrastive Learning for Channel State Information Based Human Activity Recognition

Measurement characteristics of the engagement in meaningful activities survey in an age-diverse sample

Using Direct Acyclic Graphs to Enhance Skeleton-Based Action Recognition with a Linear-Map Convolution Neural Network

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