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Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition

Sensors (Basel, Switzerland), 2016-01, Vol.16 (1), p.115

2016

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Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances

Sensors (Basel, Switzerland), 2022-02, Vol.22 (4), p.1476

2022

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Human Activity Recognition Using Inertial Sensors in a Smartphone: An Overview

Sensors (Basel, Switzerland), 2019-07, Vol.19 (14), p.3213

2019

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Comparison of Data Preprocessing Approaches for Applying Deep Learning to Human Activity Recognition in the Context of Industry 4.0

Sensors (Basel, Switzerland), 2018-07, Vol.18 (7), p.2146

2018

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Human Activity Recognition via Hybrid Deep Learning Based Model

Sensors (Basel, Switzerland), 2022-01, Vol.22 (1), p.323

2022

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Sensor Data Acquisition and Multimodal Sensor Fusion for Human Activity Recognition Using Deep Learning

Sensors (Basel, Switzerland), 2019-04, Vol.19 (7), p.1716

2019

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Sensor-Based Human Activity Recognition with Spatio-Temporal Deep Learning

Sensors (Basel, Switzerland), 2021-03, Vol.21 (6), p.2141

2021

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Incorporating Anthropogenic Influences into Fire Probability Models: Effects of Human Activity and Climate Change on Fire Activity in California

PloS one, 2016-04, Vol.11 (4), p.e0153589

2016

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Feature Representation and Data Augmentation for Human Activity Classification Based on Wearable IMU Sensor Data Using a Deep LSTM Neural Network

Sensors (Basel, Switzerland), 2018-08, Vol.18 (9), p.2892

2018

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Radar Human Activity Recognition with an Attention-Based Deep Learning Network

Sensors (Basel, Switzerland), 2023-03, Vol.23 (6), p.3185

2023

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Global desertification vulnerability to climate change and human activities

Land degradation & development, 2020-07, Vol.31 (11), p.1380-1391

2020

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Wearable Sensor-Based Human Activity Recognition with Transformer Model

Sensors (Basel, Switzerland), 2022-03, Vol.22 (5), p.1911

2022

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Enhanced Human Activity Recognition Based on Smartphone Sensor Data Using Hybrid Feature Selection Model

Sensors (Basel, Switzerland), 2020-01, Vol.20 (1), p.317

2020

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A Comprehensive Analysis on Wearable Acceleration Sensors in Human Activity Recognition

Sensors (Basel, Switzerland), 2017-03, Vol.17 (3), p.529

2017

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w-HAR: An Activity Recognition Dataset and Framework Using Low-Power Wearable Devices

Sensors (Basel, Switzerland), 2020-09, Vol.20 (18), p.5356

2020

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On the Challenges and Potential of Using Barometric Sensors to Track Human Activity

Sensors (Basel, Switzerland), 2020-11, Vol.20 (23), p.6786

2020

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Feature Fusion of a Deep-Learning Algorithm into Wearable Sensor Devices for Human Activity Recognition

Sensors (Basel, Switzerland), 2021-12, Vol.21 (24), p.8294

2021

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Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities

Sensors (Basel, Switzerland), 2023-02, Vol.23 (4), p.2182

2023

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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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Classification of Human Daily Activities Using Ensemble Methods Based on Smartphone Inertial Sensors

Sensors (Basel, Switzerland), 2018-11, Vol.18 (12), p.4132

2018

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A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors

Sensors (Basel, Switzerland), 2019-11, Vol.19 (22), p.5026

2019

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Real-Time Human Activity Recognition with IMU and Encoder Sensors in Wearable Exoskeleton Robot via Deep Learning Networks

Sensors (Basel, Switzerland), 2022-12, Vol.22 (24), p.9690

2022

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LARa: Creating a Dataset for Human Activity Recognition in Logistics Using Semantic Attributes

Sensors (Basel, Switzerland), 2020-07, Vol.20 (15), p.4083

2020

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Biometric User Identification Based on Human Activity Recognition Using Wearable Sensors: An Experiment Using Deep Learning Models

Electronics (Basel), 2021-02, Vol.10 (3), p.308

2021

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Regime shifts in the anthropocene: drivers, risks, and resilience

PloS one, 2015-08, Vol.10 (8), p.e0134639

2015

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Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition

Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances

Human Activity Recognition Using Inertial Sensors in a Smartphone: An Overview

Comparison of Data Preprocessing Approaches for Applying Deep Learning to Human Activity Recognition in the Context of Industry 4.0

Human Activity Recognition via Hybrid Deep Learning Based Model

Sensor Data Acquisition and Multimodal Sensor Fusion for Human Activity Recognition Using Deep Learning

Sensor-Based Human Activity Recognition with Spatio-Temporal Deep Learning

Incorporating Anthropogenic Influences into Fire Probability Models: Effects of Human Activity and Climate Change on Fire Activity in California

Feature Representation and Data Augmentation for Human Activity Classification Based on Wearable IMU Sensor Data Using a Deep LSTM Neural Network

Radar Human Activity Recognition with an Attention-Based Deep Learning Network

Global desertification vulnerability to climate change and human activities

Wearable Sensor-Based Human Activity Recognition with Transformer Model

Enhanced Human Activity Recognition Based on Smartphone Sensor Data Using Hybrid Feature Selection Model

A Comprehensive Analysis on Wearable Acceleration Sensors in Human Activity Recognition

w-HAR: An Activity Recognition Dataset and Framework Using Low-Power Wearable Devices

On the Challenges and Potential of Using Barometric Sensors to Track Human Activity

Feature Fusion of a Deep-Learning Algorithm into Wearable Sensor Devices for Human Activity Recognition

Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities

An Investigation of Activity Profiles of Older Adults

Classification of Human Daily Activities Using Ensemble Methods Based on Smartphone Inertial Sensors

A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors

Real-Time Human Activity Recognition with IMU and Encoder Sensors in Wearable Exoskeleton Robot via Deep Learning Networks

LARa: Creating a Dataset for Human Activity Recognition in Logistics Using Semantic Attributes

Biometric User Identification Based on Human Activity Recognition Using Wearable Sensors: An Experiment Using Deep Learning Models

Regime shifts in the anthropocene: drivers, risks, and resilience

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