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Radar for Indoor Monitoring: Detection, Classification, and Assessment

1, 2018

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Sensor- and Video-Based Activity and Behavior Computing: Proceedings of 3rd International Conference on Activity and Behavior Computing (ABC 2021)

1, 2022

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A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition

IEEE transaction on neural networks and learning systems, 2020-05, Vol.31 (5), p.1747-1756

2020

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Activity and Behavior Computing

1, 2020

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Plan, Activity, and Intent Recognition: Theory and Practice

1, 2014

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Mastering the Microsoft Kinect: Body Tracking, Object Detection, and the Azure Cloud Services

Pterneas, Vangos

1, 2022

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An Adaptive Batch Size based-CNN-LSTM Framework for Human Activity Recognition in Uncontrolled Environment

IEEE transactions on industrial informatics, 2023-10, Vol.19 (10), p.1-9

2023

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Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things

IEEE internet of things journal, 2020-07, Vol.7 (7), p.6429-6438

2020

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Human Activity Recognition Challenge

1st Edition 2021, 2020

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Contactless Human Activity Analysis

1st Edition 2021, 2021

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Edge-Cloud Computing for Internet of Things Data Analytics: Embedding Intelligence in the Edge With Deep Learning

IEEE transactions on industrial informatics, 2021-03, Vol.17 (3), p.2191-2200

2021

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A Cybertwin Based Multimodal Network for ECG Patterns Monitoring Using Deep Learning

IEEE transactions on industrial informatics, 2022-10, Vol.18 (10), p.6663-6670

2022

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CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition

IEEE transaction on neural networks and learning systems, 2023-12, Vol.PP, p.1-15

2023

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Researching AI Technologies to Support and Substitute Human Activities

NTT Technical Review, 2020-12, Vol.18 (12), p.39-42

2020

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A Novel IoT-Perceptive Human Activity Recognition (HAR) Approach Using Multihead Convolutional Attention

IEEE internet of things journal, 2020-02, Vol.7 (2), p.1072-1080

2020

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Interpretable and Accurate Convolutional Neural Networks for Human Activity Recognition

IEEE transactions on industrial informatics, 2020-11, Vol.16 (11), p.7190-7198

Kim, Eunji

2020

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ST-DeepHAR: Deep Learning Model for Human Activity Recognition in IoHT Applications

IEEE internet of things journal, 2021-03, Vol.8 (6), p.4969-4979

2021

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Dezert-Smarandache Theory-Based Fusion for Human Activity Recognition in Body Sensor Networks

IEEE transactions on industrial informatics, 2020-11, Vol.16 (11), p.7138-7149

2020

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Temporal Convolutional Networks for Multiperson Activity Recognition Using a 2-D LIDAR

IEEE internet of things journal, 2020-08, Vol.7 (8), p.7432-7442

2020

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AHAR: Adaptive CNN for Energy-Efficient Human Activity Recognition in Low-Power Edge Devices

IEEE internet of things journal, 2022-08, Vol.9 (15), p.13041-13051

2022

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Intelligent Adaptive Real-Time Monitoring and Recognition System for Human Activities

IEEE transactions on industrial informatics, 2024-08, p.1-11

2024

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Deep Reinforcement Learning in Human Activity Recognition: A Survey and Outlook

IEEE transaction on neural networks and learning systems, 2024-02, Vol.PP, p.1-12

2024

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Multitask LSTM Model for Human Activity Recognition and Intensity Estimation Using Wearable Sensor Data

IEEE internet of things journal, 2020-09, Vol.7 (9), p.8760-8768

2020

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Deep Learning for Heterogeneous Human Activity Recognition in Complex IoT Applications

IEEE internet of things journal, 2022-04, Vol.9 (8), p.5653-5665

2022

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Deep Multi-Model Fusion for Human Activity Recognition Using Evolutionary Algorithms

International journal of interactive multimedia and artificial intelligence, 2021-12, Vol.7 (2), p.44-58

2021

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Radar for Indoor Monitoring: Detection, Classification, and Assessment

Sensor- and Video-Based Activity and Behavior Computing: Proceedings of 3rd International Conference on Activity and Behavior Computing (ABC 2021)

A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition

Activity and Behavior Computing

Plan, Activity, and Intent Recognition: Theory and Practice

Mastering the Microsoft Kinect: Body Tracking, Object Detection, and the Azure Cloud Services

An Adaptive Batch Size based-CNN-LSTM Framework for Human Activity Recognition in Uncontrolled Environment

Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things

Human Activity Recognition Challenge

Contactless Human Activity Analysis

Edge-Cloud Computing for Internet of Things Data Analytics: Embedding Intelligence in the Edge With Deep Learning

A Cybertwin Based Multimodal Network for ECG Patterns Monitoring Using Deep Learning

CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition

Researching AI Technologies to Support and Substitute Human Activities

A Novel IoT-Perceptive Human Activity Recognition (HAR) Approach Using Multihead Convolutional Attention

Interpretable and Accurate Convolutional Neural Networks for Human Activity Recognition

ST-DeepHAR: Deep Learning Model for Human Activity Recognition in IoHT Applications

Dezert-Smarandache Theory-Based Fusion for Human Activity Recognition in Body Sensor Networks

Temporal Convolutional Networks for Multiperson Activity Recognition Using a 2-D LIDAR

AHAR: Adaptive CNN for Energy-Efficient Human Activity Recognition in Low-Power Edge Devices

Intelligent Adaptive Real-Time Monitoring and Recognition System for Human Activities

Deep Reinforcement Learning in Human Activity Recognition: A Survey and Outlook

Multitask LSTM Model for Human Activity Recognition and Intensity Estimation Using Wearable Sensor Data

Deep Learning for Heterogeneous Human Activity Recognition in Complex IoT Applications

Deep Multi-Model Fusion for Human Activity Recognition Using Evolutionary Algorithms

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