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Human Activity Recognition Using Wearable Sensors by Deep Convolutional Neural Networks

https://doi.org/10.1145/2733373.2806333
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Support Vector Machines for Pattern Classification
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Comparison of Classification Algorithms for Physical Activity Recognition
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Activity Recognition from On-Body Sensors: Accuracy-Power Trade-Off by Dynamic Sensor Selection
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Human Activity Recognition from Accelerometer Data Using a Wearable Device
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Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine
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Human activity recognition using smartphone sensors with two-stage continuous hidden Markov models
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Energy-Efficient Continuous Activity Recognition on Mobile Phones: An Activity-Adaptive Approach
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Energy-Efficient Activity Recognition Using Prediction
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Twin Support Vector Machines for Pattern Classification
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USC-HAD
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ImageNet classification with deep convolutional neural networks
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Investigation of full-sequence training of deep belief networks for speech recognition
inferredcites →https://doi.org/10.3390/s140610146openalex-snapshot
Fusion of Smartphone Motion Sensors for Physical Activity Recognition
inferredcites →https://doi.org/10.4108/icst.bodynets.2013.253656openalex-snapshot
Cost-Effective Activity Recognition on Mobile Devices

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Flexible Magnetic Field Nanosensors for Wearable Electronics: A Review
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A multi-scale feature extraction fusion model for human activity recognition
inferred← citeshttps://doi.org/10.1038/s41598-023-39080-yopenalex-snapshot
Hybrid convolution neural network with channel attention mechanism for sensor-based human activity recognition
inferred← citeshttps://doi.org/10.1038/s41598-023-48860-5openalex-snapshot
Elderly and visually impaired indoor activity monitoring based on Wi-Fi and Deep Hybrid convolutional neural network
inferred← citeshttps://doi.org/10.1038/s41598-024-53069-1openalex-snapshot
Wireless body area sensor networks based human activity recognition using deep learning
inferred← citeshttps://doi.org/10.1038/s41598-024-63934-8openalex-snapshot
A hybrid deep approach to recognizing student activity and monitoring health physique based on accelerometer data from smartphones
inferred← citeshttps://doi.org/10.1038/s41598-025-01854-xopenalex-snapshot
Improved convolutional neural network for precise exercise posture recognition and intelligent health indicator prediction
inferred← citeshttps://doi.org/10.1038/s41598-025-06726-yopenalex-snapshot
An investigation of simple neural network models using smartphone signals for recognition of manual industrial tasks
inferred← citeshttps://doi.org/10.1038/s41598-025-32859-1openalex-snapshot
An enhanced dual inception-attention-BiGRU-attention model integrating wavelet transform for wearable sensor-based human activity recognition
inferred← citeshttps://doi.org/10.1049/cps2.12045openalex-snapshot
Smartphone sensors‐based human activity recognition using feature selection and deep decision fusion
inferred← citeshttps://doi.org/10.1049/el.2019.0906openalex-snapshot
Deep activity recognition on imaging sensor data
inferred← citeshttps://doi.org/10.1061/(asce)co.1943-7862.0002359openalex-snapshot
Construction Activity Classification Based on Vibration Monitoring Data: A Supervised Deep-Learning Approach with Time Series RandAugment
inferred← citeshttps://doi.org/10.1063/5.0303650openalex-snapshot
Cognitive machines deciphering human activities: A machine learning perspective
inferred← citeshttps://doi.org/10.1080/01691864.2023.2236170openalex-snapshot
An intelligent socially assistive robot-wearable sensors system for personalized user dressing assistance
inferred← citeshttps://doi.org/10.1080/1206212x.2023.2198785openalex-snapshot
An efficient deep learning-based approach for human activity recognition using smartphone inertial sensors
inferred← citeshttps://doi.org/10.1080/13614568.2018.1524934openalex-snapshot
Inferring contextual preferences using deep encoder-decoder learners
inferred← citeshttps://doi.org/10.1088/1755-1315/1423/1/012035openalex-snapshot
Integration of Hand Motion Sensor, Artificial Intelligence, and QR Code for Real-Time Monitoring of Welder’s Performance and Welding Quality: A Conceptual Framework
inferred← citeshttps://doi.org/10.1088/1755-1315/557/1/012009openalex-snapshot
Hand Motion Recognition of Shipyard Welder Using 9-DOF Inertial Measurement Unit and Multi Layer Perceptron Approach
inferred← citeshttps://doi.org/10.1088/2631-8695/acd98copenalex-snapshot
Multi-Branch CNN GRU with attention mechanism for human action recognition
inferred← citeshttps://doi.org/10.1088/2631-8695/ae1f65openalex-snapshot
Anomaly detection in 3D printing: deep learning and traditional machine learning approaches with IMU and acoustic data
inferred← citeshttps://doi.org/10.1108/sasbe-11-2020-0170openalex-snapshot
Recognition of workers’ actions from time-series signal images using deep convolutional neural network
inferred← citeshttps://doi.org/10.1108/sr-06-2021-0195openalex-snapshot
Sensor-based human activity recognition using fuzzified deep CNN architecture with λmax method
inferred← citeshttps://doi.org/10.1109/access.2018.2870841openalex-snapshot
Deep Dilation on Multimodality Time Series for Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/access.2018.2878254openalex-snapshot
Health Big Data Analytics: A Technology Survey
inferred← citeshttps://doi.org/10.1109/access.2020.2993534openalex-snapshot
StepNet—Deep Learning Approaches for Step Length Estimation
inferred← citeshttps://doi.org/10.1109/access.2020.2997962openalex-snapshot
A Novel Action Recognition Framework Based on Deep-Learning and Genetic Algorithms
inferred← citeshttps://doi.org/10.1109/access.2020.3017681openalex-snapshot
Deep Human Activity Recognition With Localisation of Wearable Sensors
inferred← citeshttps://doi.org/10.1109/access.2020.3024003openalex-snapshot
Design of a Wearable Wireless Multi-Sensor Monitoring System and Application for Activity Recognition Using Deep Learning
inferred← citeshttps://doi.org/10.1109/access.2020.3032699openalex-snapshot
Human Activity Recognition Based on Gramian Angular Field and Deep Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/access.2020.3037715openalex-snapshot
Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1109/access.2020.3041822openalex-snapshot
Sensor-Based Human Activity Recognition Using Deep Stacked Multilayered Perceptron Model
inferred← citeshttps://doi.org/10.1109/access.2020.3047455openalex-snapshot
Study on the Identification Method of Human Upper Limb Flag Movements Based on Inception-ResNet Double Stream Network
inferred← citeshttps://doi.org/10.1109/access.2021.3080592openalex-snapshot
A Novel Approach for Upper Limb Functionality Assessment Based on Deep Learning and Multimodal Sensing Data
inferred← citeshttps://doi.org/10.1109/access.2021.3117336openalex-snapshot
Human Activity Recognition Based on Acceleration Data From Smartphones Using HMMs
inferred← citeshttps://doi.org/10.1109/access.2021.3122298openalex-snapshot
HiHAR: A Hierarchical Hybrid Deep Learning Architecture for Wearable Sensor-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/access.2021.3134262openalex-snapshot
Wearable Accelerometer Layout Optimization for Activity Recognition Based on Swarm Intelligence and User Preference
inferred← citeshttps://doi.org/10.1109/access.2022.3185112openalex-snapshot
A Multichannel CNN-GRU Model for Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/access.2022.3204739openalex-snapshot
Comparing Cross-Subject Performance on Human Activities Recognition Using Learning Models
inferred← citeshttps://doi.org/10.1109/access.2023.3301872openalex-snapshot
Cascade Windows-Based Multi-Stream Convolutional Neural Networks Framework for Early Detecting In-Sleep Stroke Using Wristbands
inferred← citeshttps://doi.org/10.1109/access.2025.3549165openalex-snapshot
Robust and Efficient Phase Estimation in Legged Robots via Signal Imaging and Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/access.2025.3555426openalex-snapshot
Advancements in Context Recognition for Edge Devices and Smart Eyewear: Sensors and Applications
inferred← citeshttps://doi.org/10.1109/access.2025.3556001openalex-snapshot
Human Daily Indoor Action (HDIA) Dataset: Privacy-Preserving Human Action Recognition Using Infrared Camera and Wearable Armband Sensors
inferred← citeshttps://doi.org/10.1109/actce66599.2025.00015openalex-snapshot
A Review of Deep Learning-Based Video Analysis Techniques for Quantitative Performance Monitoring
inferred← citeshttps://doi.org/10.1109/aemcse65292.2025.11042562openalex-snapshot
MHCAGE:Multi-Head Attention-based Combined Accelerometer and Gyroscope Embedding Network
inferred← citeshttps://doi.org/10.1109/aipr50011.2020.9425332openalex-snapshot
A Hybrid Approach for Human Activity Recognition with Support Vector Machine and 1D Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/apsipaasc58517.2023.10317315openalex-snapshot
GAFormer: Wearable IMU-Based Human Activity Recognition with Gramian Angular Field and Transformer
inferred← citeshttps://doi.org/10.1109/apwconcse46201.2018.8950057openalex-snapshot
Gait analysis in Spastic Hemiplegia and Diplegia cerebral palsy using a wearable activity tracking device - a data quality analysis for deep convolutional neural networks
inferred← citeshttps://doi.org/10.1109/avss.2019.8909871openalex-snapshot
TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports Applications
inferred← citeshttps://doi.org/10.1109/bhi50953.2021.9508616openalex-snapshot
Automatic Storytelling from Wearable Sensor Data for Health and Wellness Applications
inferred← citeshttps://doi.org/10.1109/bibm55620.2022.9995387openalex-snapshot
A rehabilitation activity monitoring method based on Shallow-CNN
inferred← citeshttps://doi.org/10.1109/bibm62325.2024.10822542openalex-snapshot
Multi-Instance Learning for Parkinson’s Tremor Level Detection with Learnable Discriminative Pool
inferred← citeshttps://doi.org/10.1109/bigcom61073.2023.00043openalex-snapshot
Contrastive Learning Based Human Activity Recognition Using Body Sensors
inferred← citeshttps://doi.org/10.1109/bigcomp.2017.7881728openalex-snapshot
Human activity recognition from accelerometer data using Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9377746openalex-snapshot
SMART: Emerging Activity Recognition with Limited Data for Multi-modal Wearable Sensing
inferred← citeshttps://doi.org/10.1109/bigdata59044.2023.10416944openalex-snapshot
A Supervised Autoencoder for Human Activity Recognition with Inertial Sensors
inferred← citeshttps://doi.org/10.1109/bigmm.2019.00026openalex-snapshot
Multidomain Multimodal Fusion for Human Action Recognition Using Inertial Sensors
inferred← citeshttps://doi.org/10.1109/biorob49111.2020.9224310openalex-snapshot
A New Motion Data Structuring for Human Activity Recognition Using Convolutional Neural Network
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