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Deep Convolutional Neural Network with RNNs for Complex Activity Recognition Using Wrist-Worn Wearable Sensor Data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Convolutional and Recurrent Neural Networks for Activity Recognition in Smart Environment
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Deep learning based multimodal complex human activity recognition using wearable devices
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InceptionTime: Finding AlexNet for time series classification
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Multidisciplinary studies of illness in aged persons—VI
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Real-time human activity recognition from accelerometer data using Convolutional Neural Networks
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Imaging and fusing time series for wearable sensor-based human activity recognition
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Sensor-based human activity recognition system with a multilayered model using time series shapelets
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Multivariate LSTM-FCNs for time series classification
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Sensor-based and vision-based human activity recognition: A comprehensive survey
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Human Activity Recognition: A Survey
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On a Monotonicity Problem in Step-Down Multiple Test Procedures
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Human Action Recognition by Learning Spatio-Temporal Features With Deep Neural Networks
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InnoHAR: A Deep Neural Network for Complex Human Activity Recognition
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LSTM-CNN Architecture for Human Activity Recognition
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Sensing Technology for Human Activity Recognition: A Comprehensive Survey
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A Deep Learning Approach for Human Activities Recognition From Multimodal Sensing Devices
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iSPLInception: An Inception-ResNet Deep Learning Architecture for Human Activity Recognition
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Building robust models for Human Activity Recognition from raw accelerometers data using Gated Recurrent Units and Long Short Term Memory Neural Networks
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Human Activity Recognition from Environmental Background Sounds for Wireless Sensor Networks
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Human activity recognition with inertial sensors using a deep learning approach
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Simple and Complex Activity Recognition through Smart Phones
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Introducing a New Benchmarked Dataset for Activity Monitoring
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Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things
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Attention-Based Convolutional Neural Network for Weakly Labeled Human Activities’ Recognition With Wearable Sensors
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CrossCount: A Deep Learning System for Device-Free Human Counting Using WiFi
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Temporal Approaches for Human Activity Recognition Using Inertial Sensors
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Human Activity Recognition and Pattern Discovery
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A Comparison of Unidirectional and Bidirectional LSTM Networks for Human Activity Recognition
inferredcites →https://doi.org/10.1109/sensors43011.2019.8956560openalex-snapshot
Bidirectional Gated Recurrent Units For Human Activity Recognition Using Accelerometer Data
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A Survey on Human Activity Recognition using Wearable Sensors
inferredcites →https://doi.org/10.1109/tcyb.2013.2276433openalex-snapshot
Multilevel Depth and Image Fusion for Human Activity Detection
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The Vanishing Gradient Problem During Learning Recurrent Neural Nets and Problem Solutions
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Can Deep Learning Revolutionize Mobile Sensing?
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Activity recognition for locomotion and transportation dataset using deep learning
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Human Activity Recognition in AAL Environments Using Random Projections
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LSTM Networks for Mobile Human Activity Recognition
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Classification of Pulmonary CT Images by Using Hybrid 3D-Deep Convolutional Neural Network Architecture
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Biometric User Identification Based on Human Activity Recognition Using Wearable Sensors: An Experiment Using Deep Learning Models
inferredcites →https://doi.org/10.3390/fi11120259openalex-snapshot
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inferredcites →https://doi.org/10.3390/fi12090155openalex-snapshot
Improving Human Activity Monitoring by Imputation of Missing Sensory Data: Experimental Study
inferredcites →https://doi.org/10.3390/s140406474openalex-snapshot
Window Size Impact in Human Activity Recognition
inferredcites →https://doi.org/10.3390/s16010115openalex-snapshot
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
inferredcites →https://doi.org/10.3390/s16020184openalex-snapshot
From Data Acquisition to Data Fusion: A Comprehensive Review and a Roadmap for the Identification of Activities of Daily Living Using Mobile Devices
inferredcites →https://doi.org/10.3390/s16040426openalex-snapshot
Complex Human Activity Recognition Using Smartphone and Wrist-Worn Motion Sensors
inferredcites →https://doi.org/10.3390/s17112556openalex-snapshot
Deep Recurrent Neural Networks for Human Activity Recognition
inferredcites →https://doi.org/10.3390/s19071644openalex-snapshot
Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks
inferredcites →https://doi.org/10.3390/s20082200openalex-snapshot
A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors
inferredcites →https://doi.org/10.3390/s20216300openalex-snapshot
Smartphone Motion Sensor-Based Complex Human Activity Identification Using Deep Stacked Autoencoder Algorithm for Enhanced Smart Healthcare System
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Accelerometer-Based Human Activity Recognition for Patient Monitoring Using a Deep Neural Network
inferredcites →https://doi.org/10.3390/s20247195openalex-snapshot
Deep Learning for Activity Recognition in Older People Using a Pocket-Worn Smartphone
inferredcites →https://doi.org/10.3390/s21051636openalex-snapshot
LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes
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Smartphone User Identity Verification Using Gait Characteristics
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Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Hi-OSCAR: Hierarchical Open-set Classifier for Human Activity Recognition
inferred← citeshttps://doi.org/10.1155/2022/7542104openalex-snapshot
[Retracted] Design of Classroom Intelligent Assistance System under Wireless Network and Deep Learning
inferred← citeshttps://doi.org/10.1155/2022/9144656openalex-snapshot
Construction and Research of Constructive English Teaching Model Applying Multimodal Neural Network Algorithm
inferred← citeshttps://doi.org/10.1155/2022/9369543openalex-snapshot
Research on Navigation and Positioning of Electric Inspection Robot Based on Improved CNN Algorithm
inferred← citeshttps://doi.org/10.1155/abb/7560773openalex-snapshot
Artificial Intelligence Applied to Human Activity Recognition in Sports and Exercise: A Bibliometrics and Visual Analysis
inferred← citeshttps://doi.org/10.1186/s13662-025-03871-6openalex-snapshot
RETRACTED ARTICLE: Optimizing English translation processing of conceptual metaphors in big data technology texts
inferred← citeshttps://doi.org/10.1371/journal.pone.0282158openalex-snapshot
Exploration of the intelligent-auxiliary design of architectural space using artificial intelligence model
inferred← citeshttps://doi.org/10.15622/ia.23.1.3openalex-snapshot
Evaluation of the Informativeness of Features in Datasets for Continuous Verification
inferred← citeshttps://doi.org/10.17762/ijritcc.v11i11s.8081openalex-snapshot
TinyML based Deep Learning Model for Activity Detection
inferred← citeshttps://doi.org/10.2174/2210327913666230911113149openalex-snapshot
Knowledge Mapping of Human Activity Recognition Techniques for Assistive Living
inferred← citeshttps://doi.org/10.23919/splitech58164.2023.10193600openalex-snapshot
Multi-Position Human Activity Recognition using a Multi-Modal Deep Convolutional Neural Network
inferred← citeshttps://doi.org/10.3233/jifs-231691openalex-snapshot
Better health – A comprehensive and profound research about physical strength consumption estimation methods using machine learning
inferred← citeshttps://doi.org/10.3233/jifs-233919openalex-snapshot
Enhancing temple surveillance through human activity recognition: A novel dataset and YOLOv4-ConvLSTM approach
inferred← citeshttps://doi.org/10.32604/cmc.2023.033045openalex-snapshot
Parameter-Tuned Deep Learning-Enabled Activity Recognition for Disabled People
inferred← citeshttps://doi.org/10.32604/iasc.2023.028290openalex-snapshot
An Efficient ResNetSE Architecture for Smoking Activity Recognition from Smartwatch
inferred← citeshttps://doi.org/10.32604/iasc.2023.033542openalex-snapshot
Automatic Recognition of Construction Worker Activities Using Deep Learning Approaches and Wearable Inertial Sensors
inferred← citeshttps://doi.org/10.32604/iasc.2023.033940openalex-snapshot
Driving Activity Classification Using Deep Residual Networks Based on Smart Glasses Sensors
inferred← citeshttps://doi.org/10.32604/jai.2024.054314openalex-snapshot
A Comprehensive Overview and Comparative Analysis on Deep Learning Models
inferred← citeshttps://doi.org/10.33411/ijist/1069openalex-snapshot
Optimizing Human Activity Recognition with Ensemble Deep Learning on Wearable Sensor Data
inferred← citeshttps://doi.org/10.3389/fcomp.2024.1424935openalex-snapshot
Multimodal AI techniques for pain detection: integrating facial gesture and paralanguage analysis
inferred← citeshttps://doi.org/10.3389/fninf.2024.1454583openalex-snapshot
Enhancing human activity recognition for the elderly and individuals with disabilities through optimized Internet-of-Things and artificial intelligence integration with advanced neural networks
inferred← citeshttps://doi.org/10.3389/frai.2024.1410790openalex-snapshot
Transparency and precision in the age of AI: evaluation of explainability-enhanced recommendation systems
inferred← citeshttps://doi.org/10.3389/frai.2024.1458230openalex-snapshot
Implementation of deep reinforcement learning models for emotion detection and personalization of learning in hybrid educational environments
inferred← citeshttps://doi.org/10.3390/app12104988openalex-snapshot
A Hybrid Deep Residual Network for Efficient Transitional Activity Recognition Based on Wearable Sensors
inferred← citeshttps://doi.org/10.3390/app132011154openalex-snapshot
MLPs Are All You Need for Human Activity Recognition
inferred← citeshttps://doi.org/10.3390/asi7040059openalex-snapshot
A Residual Deep Learning Method for Accurate and Efficient Recognition of Gym Exercise Activities Using Electromyography and IMU Sensors
inferred← citeshttps://doi.org/10.3390/asi8030057openalex-snapshot
Efficient and Explainable Human Activity Recognition Using Deep Residual Network with Squeeze-and-Excitation Mechanism
inferred← citeshttps://doi.org/10.3390/bios12070549openalex-snapshot
Exploring Orientation Invariant Heuristic Features with Variant Window Length of 1D-CNN-LSTM in Human Activity Recognition
inferred← citeshttps://doi.org/10.3390/healthcare10061084openalex-snapshot
Human Activity Recognition Based on Embedded Sensor Data Fusion for the Internet of Healthcare Things
inferred← citeshttps://doi.org/10.3390/info15020085openalex-snapshot
HaCk: Hand Gesture Classification Using a Convolutional Neural Network and Generative Adversarial Network-Based Data Generation Model
inferred← citeshttps://doi.org/10.3390/info15100593openalex-snapshot
An Optimal Feature Selection Method for Human Activity Recognition Using Multimodal Sensory Data
inferred← citeshttps://doi.org/10.3390/jcm13041150openalex-snapshot
Exploring the Impact of Hand Dominance on Laparoscopic Surgical Skills Development Using Network Models
inferred← citeshttps://doi.org/10.3390/s21227519openalex-snapshot
Deep Learning Approaches for Continuous Authentication Based on Activity Patterns Using Mobile Sensing
inferred← citeshttps://doi.org/10.3390/s21227628openalex-snapshot
Wearable IMU-Based Human Activity Recognition Algorithm for Clinical Balance Assessment Using 1D-CNN and GRU Ensemble Model
inferred← citeshttps://doi.org/10.3390/s22010323openalex-snapshot
Human Activity Recognition via Hybrid Deep Learning Based Model
inferred← citeshttps://doi.org/10.3390/s22020635openalex-snapshot
Human Activity Recognition Based on Residual Network and BiLSTM
inferred← citeshttps://doi.org/10.3390/s22093401openalex-snapshot
Human Activity Recognition Data Analysis: History, Evolutions, and New Trends
inferred← citeshttps://doi.org/10.3390/s23031465openalex-snapshot
Sensor-Based Activity Recognition Using Frequency Band Enhancement Filters and Model Ensembles
inferred← citeshttps://doi.org/10.3390/s23094229openalex-snapshot
Extended Application of Inertial Measurement Units in Biomechanics: From Activity Recognition to Force Estimation
inferred← citeshttps://doi.org/10.3390/s23136040openalex-snapshot
Human Action Recognition in Smart Living Services and Applications: Context Awareness, Data Availability, Personalization, and Privacy
inferred← citeshttps://doi.org/10.3390/s24124018openalex-snapshot
A Method of Precise Auto-Calibration in a Micro-Electro-Mechanical System Accelerometer
inferred← citeshttps://doi.org/10.3390/sym16050554openalex-snapshot
Deep Residual Network with a CBAM Mechanism for the Recognition of Symmetric and Asymmetric Human Activity Using Wearable Sensors
inferred← citeshttps://doi.org/10.3390/vibration6010002openalex-snapshot
Bearing Fault Diagnosis Based on Multi-Scale CNN and Bidirectional GRU
inferred← citeshttps://doi.org/10.36548/jaicn.2022.4.004openalex-snapshot
Enhancing Health Monitoring using Efficient Hyperparameter Optimization
inferred← citeshttps://doi.org/10.3758/s13428-022-01881-wopenalex-snapshot
Supervised machine learning aided behavior classification in pigeons
inferred← citeshttps://doi.org/10.3934/mbe.2022265openalex-snapshot
RNN-based deep learning for physical activity recognition using smartwatch sensors: A case study of simple and complex activity recognition
inferred← citeshttps://doi.org/10.48084/etasr.15555openalex-snapshot
Window-Free IMU-Based Classification of Stair-Climbing Wheelchair Activities Using Machine Learning and Adaptive Boosting
inferred← citeshttps://doi.org/10.48084/etasr.8861openalex-snapshot
Optimizing Edge Computing for Activity Recognition: A Bidirectional LSTM Approach on the PAMAP2 Dataset
inferred← citeshttps://doi.org/10.56801/rebicte.v8i.133openalex-snapshot
The Deep Learning-based Human Activity Recognition Using Smart Wearable Sensors : A Tutorial
inferred← citeshttps://doi.org/10.57197/jdr-2025-0657openalex-snapshot
Artificial Intelligence-driven Gesture Recognition for Hearing-impaired People Using Reptile Search Algorithm with Deep Learning Model
inferred← citeshttps://doi.org/10.64189/ssc.26213openalex-snapshot
Edge AI and Federated Learning in Smart City Engineering: A Cross-Domain Review of Architectures, Applications, and Deployment Challenges in Transportation, Environmental, and Building Systems
inferred← citeshttps://doi.org/10.7717/peerj-cs.2539openalex-snapshot
Cloud-to-Thing continuum-based sports monitoring system using machine learning and deep learning model
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