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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-10599-4_7openalex-snapshot
Facial Landmark Detection by Deep Multi-task Learning
inferredcites →https://doi.org/10.1007/978-3-642-01721-6_12openalex-snapshot
Daily Routine Recognition through Activity Spotting
inferredcites →https://doi.org/10.1016/j.eswa.2012.09.004openalex-snapshot
Elderly activities recognition and classification for applications in assisted living
inferredcites →https://doi.org/10.1016/j.ins.2016.01.020openalex-snapshot
Complex activity recognition using time series pattern dictionary learned from ubiquitous sensors
inferredcites →https://doi.org/10.1016/j.knosys.2015.09.024openalex-snapshot
Sensor-based human activity recognition system with a multilayered model using time series shapelets
inferredcites →https://doi.org/10.1016/j.pmcj.2011.06.004openalex-snapshot
Centinela: A human activity recognition system based on acceleration and vital sign data
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/icdm.2011.14openalex-snapshot
A New Multi-task Learning Method for Personalized Activity Recognition
inferredcites →https://doi.org/10.1109/ie.2012.39openalex-snapshot
Simple and Complex Activity Recognition through Smart Phones
inferredcites →https://doi.org/10.1109/inss.2010.5573462openalex-snapshot
Collecting complex activity datasets in highly rich networked sensor environments
inferredcites →https://doi.org/10.1109/iswc.2010.5665869openalex-snapshot
Remember and transfer what you have learned - recognizing composite activities based on activity spotting
inferredcites →https://doi.org/10.1109/tbme.2014.2307069openalex-snapshot
Feature Selection and Activity Recognition System Using a Single Triaxial Accelerometer
inferredcites →https://doi.org/10.1109/tbme.2016.2604856openalex-snapshot
Hierarchical Complex Activity Representation and Recognition Using Topic Model and Classifier Level Fusion
inferredcites →https://doi.org/10.1109/tkde.2012.246openalex-snapshot
Large-Scale Personalized Human Activity Recognition Using Online Multitask Learning
inferredcites →https://doi.org/10.1109/tmc.2018.2793913openalex-snapshot
Bi-View Semi-Supervised Learning Based Semantic Human Activity Recognition Using Accelerometers
inferredcites →https://doi.org/10.1109/tnnls.2016.2582924openalex-snapshot
LSTM: A Search Space Odyssey
inferredcites →https://doi.org/10.1145/1409635.1409638openalex-snapshot
Discovery of activity patterns using topic models
inferredcites →https://doi.org/10.1145/2971648.2971721openalex-snapshot
Toward practical factory activity recognition
inferredcites →https://doi.org/10.1145/2971763.2971764openalex-snapshot
Deep convolutional feature transfer across mobile activity recognition domains, sensor modalities and locations
inferredcites →https://doi.org/10.1145/3090076openalex-snapshot
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
inferredcites →https://doi.org/10.3390/s16010115openalex-snapshot
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
inferredcites →https://doi.org/10.4108/icst.mobicase.2014.257786openalex-snapshot
Convolutional Neural Networks for Human Activity Recognition using Mobile Sensors
inferredcites →https://doi.org/10.5555/303568.303704openalex-snapshot
Convolutional networks for images, speech, and time series
inferredcites →https://doi.org/10.5860/choice.33-4484openalex-snapshot
The Handbook of brain theory and neural networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Application of Deep Learning for Ergonomic Data Augmentation and Human State Recognition
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Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition
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Vision-Based Human Activity Recognition Using CNN and LSTM Architecture
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A Comprehensive Review of Deep Learning for Activity Recognition
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A Hybrid CNN-LSTM Deep Neural Network Model for Efficient Human Activity Recognition
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inferred← citeshttps://doi.org/10.1007/s10489-023-04997-4openalex-snapshot
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State-of-the-art survey on activity recognition and classification using smartphones and wearable sensors
inferred← citeshttps://doi.org/10.1007/s11042-023-15766-3openalex-snapshot
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Accurate human activity recognition with multi-task learning
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RETRACTED ARTICLE: Human activity recognition with deep learning: overview, challenges and possibilities
inferred← citeshttps://doi.org/10.1016/b978-0-443-15452-2.00003-0openalex-snapshot
An automated human behavior analysis using AI based predictive model in health care
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AI-driven wearable health devices with health-aware control and secure Prognostics: Experimental and Simulation-Based Validation
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GTSNet: Flexible architecture under budget constraint for real-time human activity recognition from wearable sensor
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Learning alternative ways of performing a task
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ReFuSeAct: Representation fusion using self-supervised learning for activity recognition in next generation networks
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A deep multi-task representation learning method for time series classification and retrieval
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Multi-context embedding based personalized place semantics recognition
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114160openalex-snapshot
Distilled mid-fusion transformer networks for multi-modal human activity recognition
inferred← citeshttps://doi.org/10.1016/j.neucom.2020.08.079openalex-snapshot
Wearables-based multi-task gait and activity segmentation using recurrent neural networks
inferred← citeshttps://doi.org/10.1016/j.neuri.2022.100078openalex-snapshot
Deep CNN hyperparameter optimization algorithms for sensor-based human activity recognition
inferred← citeshttps://doi.org/10.1016/j.procs.2025.02.248openalex-snapshot
A Deep Multi-Task Learning Network for Activity Recognition and User Identification Using Smartphone Sensors
inferred← citeshttps://doi.org/10.1038/s41597-025-06527-yopenalex-snapshot
Human Activity Recognition Dataset for Pedestrians with Mobility Disabilities
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/s41598-025-29801-wopenalex-snapshot
Hierarchical human activity recognition with fusion of audio and multiple inertial sensor modalities
inferred← citeshttps://doi.org/10.1061/jcemd4.coeng-16728openalex-snapshot
Construction Labor Activity Recognition via an IMU-Implemented Wristband
inferred← citeshttps://doi.org/10.1080/10447318.2019.1664532openalex-snapshot
Investigating the Willingness of Sharing Real-Time Daily Activities among Friends
inferred← citeshttps://doi.org/10.1109/access.2020.2993818openalex-snapshot
Improving Cross-Subject Activity Recognition via Adversarial Learning
inferred← citeshttps://doi.org/10.1109/access.2022.3174124openalex-snapshot
ResNet-SE: Channel Attention-Based Deep Residual Network for Complex Activity Recognition Using Wrist-Worn Wearable Sensors
inferred← citeshttps://doi.org/10.1109/access.2022.3176606openalex-snapshot
Multitemporal Sampling Module for Real-Time Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/access.2023.3311261openalex-snapshot
Leveraging a Smartwatch for Activity Recognition in Salat
inferred← citeshttps://doi.org/10.1109/acii.2019.8925449openalex-snapshot
Situation-Aware Emotion Regulation of Conversational Agents with Kinetic Earables
inferred← citeshttps://doi.org/10.1109/acii.2019.8925479openalex-snapshot
Imputing Missing Social Media Data Stream in Multisensor Studies of Human Behavior
inferred← citeshttps://doi.org/10.1109/bhi67747.2025.11269539openalex-snapshot
A Personalized Transformer Neural Network for Accurate Recognition of Health-Indicative Complex Activities from Smartphone Sensors
inferred← citeshttps://doi.org/10.1109/bigcom53800.2021.00009openalex-snapshot
SignID: Acoustic-based Identification with Single Sign Gesture
inferred← citeshttps://doi.org/10.1109/chase52844.2021.00019openalex-snapshot
Sensor-Based Human Activity Recognition for Elderly In-patients with a Luong Self-Attention Network
inferred← citeshttps://doi.org/10.1109/chase69719.2026.00034openalex-snapshot
IMUVIE: Generalizable Pickup Measurement via Motion Movies
inferred← citeshttps://doi.org/10.1109/comst.2021.3058333openalex-snapshot
Deep Learning for Radio-Based Human Sensing: Recent Advances and Future Directions
inferred← citeshttps://doi.org/10.1109/ecice47484.2019.8942670openalex-snapshot
Gender Recognition by Monitoring Walking Patterns via Smartwatch Sensors
inferred← citeshttps://doi.org/10.1109/ecice47484.2019.8942799openalex-snapshot
Vehicle Recognition Via Sensor Data From Smart Devices
inferred← citeshttps://doi.org/10.1109/embc40787.2023.10341137openalex-snapshot
Multi-Task Learning U-Net for Functional Shoulder Sub-Task Segmentation
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TeamLLM: Exploring the Capabilities of LLMs for Multimodal Group Interaction Prediction
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Contrastive Self-Supervised Representation Learning for Sensing Signals from the Time-Frequency Perspective
inferred← citeshttps://doi.org/10.1109/icdcs.2019.00177openalex-snapshot
Context Recognition of Humans and Objects by Distributed Zero-Energy IoT Devices
inferred← citeshttps://doi.org/10.1109/istas65609.2025.11269639openalex-snapshot
Complexity-Aware Human Daily Activity Detection Using AI
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DeepER: A Deep Learning based Emergency Resolution Time Prediction System
inferred← citeshttps://doi.org/10.1109/jiot.2020.3016146openalex-snapshot
Pedestrian Dead Reckoning Based on Walking Pattern Recognition and Online Magnetic Fingerprint Trajectory Calibration
inferred← citeshttps://doi.org/10.1109/jiot.2021.3093245openalex-snapshot
Deep Learning for Detecting Human Activities From Piezoelectric-Based Kinetic Energy Signals
inferred← citeshttps://doi.org/10.1109/jiot.2024.3394050openalex-snapshot
Pedestrian Navigation Activity Recognition Based on Segmentation Transformer
inferred← citeshttps://doi.org/10.1109/jsen.2021.3061458openalex-snapshot
Activity Recognition and Anomaly Detection in E-Health Applications Using Color-Coded Representation and Lightweight CNN Architectures
inferred← citeshttps://doi.org/10.1109/jsen.2022.3153610openalex-snapshot
Recent Advances in Pedestrian Navigation Activity Recognition: A Review
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Transfer Learning Model Knowledge Across Multi-Sensors Locations Over Body Sensor Network
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Semisupervised Generative Adversarial Networks With Temporal Convolutions for Human Activity Recognition
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GeXSe (Generative Explanatory Sensor System): A Deep Generative Method for Human Activity Recognition of Smart Spaces IOT
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VCHAR: A Variance-Driven Framework for Complex Human Activity Recognition With Vague Label
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CHAR: Composite Head-body Activities Recognition with A Single Earable Device
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Deep Learning Networks for Complex Activity Recognition Based on Wrist-Worn Sensor
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Situation-Aware Conversational Agent with Kinetic Earables (demo)
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A closer look at quality-aware runtime assessment of sensing models in multi-device environments
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Co-Design and Evaluation of an Intelligent Decision Support System for Stroke Rehabilitation Assessment
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Deep Learning for Sensor-based Human Activity Recognition
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Unsupervised Human Activity Representation Learning with Multi-task Deep Clustering
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Fast Deep Neural Architecture Search for Wearable Activity Recognition by Early Prediction of Converged Performance
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Multi-agent Transformer Networks for Multimodal Human Activity Recognition
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A Framework for Designing Fair Ubiquitous Computing Systems
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Spatial-Temporal Masked Autoencoder for Multi-Device Wearable Human Activity Recognition
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Temporal Action Localization for Inertial-based Human Activity Recognition
inferred← citeshttps://doi.org/10.1145/3736767openalex-snapshot
Resource-efficient Gaze Estimation via Frequency-domain Multi-task Contrastive Learning
inferred← citeshttps://doi.org/10.1145/3772318.3791014openalex-snapshot
ActivitySeeker: Towards Collaborative Personalized Human Activity Discovery and Recognition on Smartphones
inferred← citeshttps://doi.org/10.31237/osf.io/hg378openalex-snapshot
Computer-Cognition Interfaces: Sensing and influencing mental processes with computer interaction
inferred← citeshttps://doi.org/10.3233/ais-210462openalex-snapshot
Ultra-wideband data as input of a combined EfficientNet and LSTM architecture for human activity recognition
inferred← citeshttps://doi.org/10.3389/fcomp.2022.914330openalex-snapshot
Speeding up deep neural architecture search for wearable activity recognition with early prediction of converged performance
inferred← citeshttps://doi.org/10.3389/frobt.2023.1123374openalex-snapshot
Multi-dimensional task recognition for human-robot teaming: literature review
inferred← citeshttps://doi.org/10.3390/app11167660openalex-snapshot
The Use of Transfer Learning for Activity Recognition in Instances of Heterogeneous Sensing
inferred← citeshttps://doi.org/10.3390/app12189305openalex-snapshot
Context-Aware Complex Human Activity Recognition Using Hybrid Deep Learning Models
inferred← citeshttps://doi.org/10.3390/computers10010003openalex-snapshot
NADAL: A Neighbor-Aware Deep Learning Approach for Inferring Interpersonal Trust Using Smartphone Data
inferred← citeshttps://doi.org/10.3390/electronics10141685openalex-snapshot
Deep Convolutional Neural Network with RNNs for Complex Activity Recognition Using Wrist-Worn Wearable Sensor Data
inferred← citeshttps://doi.org/10.3390/rs11212531openalex-snapshot
Context-Aware Human Activity and Smartphone Position-Mining with Motion Sensors
inferred← citeshttps://doi.org/10.3390/s19225043openalex-snapshot
Characterizing Word Embeddings for Zero-Shot Sensor-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.3390/s20102771openalex-snapshot
SemImput: Bridging Semantic Imputation with Deep Learning for Complex Human Activity Recognition
inferred← citeshttps://doi.org/10.3390/s20133803openalex-snapshot
Deep Sensing: Inertial and Ambient Sensing for Activity Context Recognition Using Deep Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/s22041476openalex-snapshot
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances
inferred← citeshttps://doi.org/10.3390/s22083094openalex-snapshot
Deep Residual Network for Smartwatch-Based User Identification through Complex Hand Movements
inferred← citeshttps://doi.org/10.3390/s23031083openalex-snapshot
Federated Meta-Learning with Attention for Diversity-Aware Human Activity Recognition
inferred← citeshttps://doi.org/10.3390/s23198234openalex-snapshot
A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors
inferred← citeshttps://doi.org/10.3390/s23239498openalex-snapshot
The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review
inferred← citeshttps://doi.org/10.3390/s24020681openalex-snapshot
Robust Feature Representation Using Multi-Task Learning for Human Activity Recognition
inferred← citeshttps://doi.org/10.3390/s24144508openalex-snapshot
System Design for Sensing in Manufacturing to Apply AI through Hierarchical Abstraction Levels
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/10.3934/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/10.48550/arxiv.2001.07416openalex-snapshot
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
inferred← citeshttps://doi.org/10.48550/arxiv.2003.07982openalex-snapshot
Adversarial Transferability in Wearable Sensor Systems
inferred← citeshttps://doi.org/10.48550/arxiv.2012.06035openalex-snapshot
SensiX: A Platform for Collaborative Machine Learning on the Edge
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The Benefit of the Doubt: Uncertainty Aware Sensing for Edge Computing Platforms
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Phoneotypic modeling of human behaviors and propensities
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