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Employing a deep convolutional neural network for human activity recognition based on binary ambient sensor data

https://doi.org/10.1145/3389189.3397991
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What this work says

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

inferredcites →https://doi.org/10.1007/978-981-10-1678-3_41openalex-snapshot
A Study on the Effect of Adaptive Boosting on Performance of Classifiers for Human Activity Recognition
inferredcites →https://doi.org/10.1007/978-981-10-2104-6_18openalex-snapshot
Robust Parametric Twin Support Vector Machine and Its Application in Human Activity Recognition
inferredcites →https://doi.org/10.1007/s12652-010-0043-xopenalex-snapshot
Smart homes for the elderly dementia sufferers: identification and prediction of abnormal behaviour
inferredcites →https://doi.org/10.1007/s40815-018-0567-3openalex-snapshot
A Hybrid Fuzzy Cognitive Map/Support Vector Machine Approach for EEG-Based Emotion Classification Using Compressed Sensing
inferredcites →https://doi.org/10.1016/j.jocs.2018.11.008openalex-snapshot
Pathological brain detection based on AlexNet and transfer learning
inferredcites →https://doi.org/10.1016/j.pmcj.2015.04.003openalex-snapshot
Monitoring elderly behavior via indoor position-based stigmergy
inferredcites →https://doi.org/10.1109/access.2017.2719921openalex-snapshot
Mining Human Activity Patterns From Smart Home Big Data for Health Care Applications
inferredcites →https://doi.org/10.1109/cvprw.2012.6239233openalex-snapshot
View invariant human action recognition using histograms of 3D joints
inferredcites →https://doi.org/10.1109/cvprw.2017.203openalex-snapshot
Human Activity Recognition Using Combinatorial Deep Belief Networks
inferredcites →https://doi.org/10.1109/icawst.2017.8256432openalex-snapshot
Deep convolutional neural network classifier for travel patterns using binary sensors
inferredcites →https://doi.org/10.1109/icpr.2014.241openalex-snapshot
Activity Recognition in Smart Homes Using Clustering Based Classification
inferredcites →https://doi.org/10.1109/icrtit.2013.6844293openalex-snapshot
Adaptive learning based human activity and fall detection using fuzzy frequent pattern mining
inferredcites →https://doi.org/10.1109/jbhi.2018.2833618openalex-snapshot
Unobtrusive Activity Recognition of Elderly People Living Alone Using Anonymous Binary Sensors and DCNN
inferredcites →https://doi.org/10.1109/jsen.2018.2830743openalex-snapshot
Vision-Based Human Action Classification Using Adaptive Boosting Algorithm
inferredcites →https://doi.org/10.1109/kicss.2012.26openalex-snapshot
Activity Recognition Using Context-Aware Infrastructure Ontology in Smart Home Domain
inferredcites →https://doi.org/10.1109/mc.2012.328openalex-snapshot
CASAS: A Smart Home in a Box
inferredcites →https://doi.org/10.1109/smc.2017.8122638openalex-snapshot
Device-free non-invasive front-door event classification algorithm for forget event detection using binary sensors in the smart house
inferredcites →https://doi.org/10.1109/tcsvt.2017.2716819openalex-snapshot
First-Person Daily Activity Recognition With Manipulated Object Proposals and Non-Linear Feature Fusion
inferredcites →https://doi.org/10.1145/3316782.3322781openalex-snapshot
Long short-term memory fuzzy finite state machine for human activity modelling
inferredcites →https://doi.org/10.1155/2017/8790198openalex-snapshot
SmartOntoSensor: Ontology for Semantic Interpretation of Smartphone Sensors Data for Context-Aware Applications
inferredcites →https://doi.org/10.23919/mva.2017.7986795openalex-snapshot
Activity recognition for indoor fall detection using convolutional neural network
inferredcites →https://doi.org/10.3390/ijgi8020090openalex-snapshot
An Integrated Framework Combining Multiple Human Activity Features for Land Use Classification
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/s18010009openalex-snapshot
Assessing the Health of LiFePO4 Traction Batteries through Monotonic Echo State Networks
inferredcites →https://doi.org/10.3390/s18092892openalex-snapshot
Feature Representation and Data Augmentation for Human Activity Classification Based on Wearable IMU Sensor Data Using a Deep LSTM Neural Network
inferredcites →https://doi.org/10.3390/technologies6040110openalex-snapshot
Human Activities Recognition Based on Neuro-Fuzzy Finite State Machine

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4070386openalex-extracted
Data Filtering and Deep Learning for Enhanced Human
inferred← citeshttps://doi.org/10.1007/978-3-031-78110-0_9openalex-snapshot
ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1007/978-3-032-16995-2_15openalex-snapshot
Federated Contrastive Self-supervised Learning for Human Activity Recognition in Smart Homes
inferred← citeshttps://doi.org/10.1007/978-981-16-0575-8_9openalex-snapshot
Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart Homes
inferred← citeshttps://doi.org/10.1007/s11760-024-03473-xopenalex-snapshot
A deep convolutional attention network based on RGB activity images for smart home activity recognition
inferred← citeshttps://doi.org/10.1007/s12652-023-04596-8openalex-snapshot
Data filtering and deep learning for enhanced human activity recognition from UWB radars
inferred← citeshttps://doi.org/10.1007/s13198-026-03167-2openalex-snapshot
Enhanced elderly activity recognition in smart home environments using ConvLSTM2D with localization
inferred← citeshttps://doi.org/10.1109/abc61795.2024.10651685openalex-snapshot
Maintenance Required: Updating and Extending Bootstrapped Human Activity Recognition Systems for Smart Homes
inferred← citeshttps://doi.org/10.1109/access.2023.3300224openalex-snapshot
Denoising UWB Radar Data for Human Activity Recognition Using Convolutional Autoencoders
inferred← citeshttps://doi.org/10.1109/access.2023.3317893openalex-snapshot
Deep Ontology-Based Human Locomotor Activity Recognition System via Multisensory Devices
inferred← citeshttps://doi.org/10.1109/icacs64902.2025.10937795openalex-snapshot
Physical Exergames Movements and Pattern Recognition using Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/icmla55696.2022.00126openalex-snapshot
Source Domain Selection for Cross-House Human Activity Recognition with Ambient Sensors
inferred← citeshttps://doi.org/10.1109/jiot.2026.3702134openalex-snapshot
Toward Wearable Sensor-Based Human Activity Recognition: A Survey
inferred← citeshttps://doi.org/10.1109/metrolivenv54405.2022.9826937openalex-snapshot
Towards supervised real-time human activity recognition on embedded equipment
inferred← citeshttps://doi.org/10.1109/ojcoms.2024.3484002openalex-snapshot
A Survey of LoRaWAN-Integrated Wearable Sensor Networks for Human Activity Recognition: Applications, Challenges and Possible Solutions
inferred← citeshttps://doi.org/10.1109/tetci.2024.3430008openalex-snapshot
Energy-Efficient and Interpretable Multisensor Human Activity Recognition via Deep Fused Lasso Net
inferred← citeshttps://doi.org/10.1109/tkde.2024.3386794openalex-snapshot
Toward Lightweight End-to-End Semantic Learning of Real-Time Human Activity Recognition for Enabling Ambient Intelligence
inferred← citeshttps://doi.org/10.1134/s0361768823080066openalex-snapshot
Human Event Recognition in Smart Classrooms Using Computer Vision: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1145/3664647.3680755openalex-snapshot
AdaFPP: Adapt-Focused Bi-Propagating Prototype Learning for Panoramic Activity Recognition
inferred← citeshttps://doi.org/10.1145/3677525.3678671openalex-snapshot
Utilizing Self-Supervised Learning for Recognizing Human Activity in Older Adults through Labeling Applications in Real-World Smart Homes
inferred← citeshttps://doi.org/10.1145/3715071.3750431openalex-snapshot
Cross-Modal Translation and Alignment of Sensor Events for Layout-Aware Activity Modeling
inferred← citeshttps://doi.org/10.15514/ispras-2024-36(1)-11openalex-snapshot
A Systematic Literature Review on Vision-Based Human Event Recognition in Smart Classrooms: Identifying Significant Events and Their Applications
inferred← citeshttps://doi.org/10.3233/faia241075openalex-snapshot
Generative Pretrained Embedding and Hierarchical Irregular Time Series Representation for Daily Living Activity Recognition
inferred← citeshttps://doi.org/10.3390/computers14010009openalex-snapshot
Human Activity Recognition Using Graph Structures and Deep Neural Networks
inferred← citeshttps://doi.org/10.3390/electronics10202498openalex-snapshot
Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes
inferred← citeshttps://doi.org/10.3390/s21186037openalex-snapshot
A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning
inferred← citeshttps://doi.org/10.3390/s23031626openalex-snapshot
A Graph-Attention-Based Method for Single-Resident Daily Activity Recognition in Smart Homes
inferred← citeshttps://doi.org/10.3390/s23041969openalex-snapshot
Convolutional Neural Network Bootstrapped by Dynamic Segmentation and Stigmergy-Based Encoding for Real-Time Human Activity Recognition in Smart Homes
inferred← citeshttps://doi.org/10.3390/s23187729openalex-snapshot
The Lifespan of Human Activity Recognition Systems for Smart Homes
inferred← citeshttps://doi.org/10.3390/s24123944openalex-snapshot
Using Graphs to Perform Effective Sensor-Based Human Activity Recognition in Smart Homes
inferred← citeshttps://doi.org/10.54097/hset.v9i.1868openalex-snapshot
A Comprehensive Survey on Human Activity Recognition Using Sensing Technology
inferred← citeshttps://doi.org/10.5802/roia.53openalex-snapshot
Reconnaissance d’activités de la vie quotidienne au moyen de capteurs domotiques et d’apprentissage profond : lorsque syntaxe, sémantique et contexte se rencontrent
inferred← citeshttps://doi.org/10.70675/cdb4ca39z9dcbz4ff2z985ezfeb97c80760dopenalex-snapshot
Human activity recognition in smart homes : tackling data variability using context-dependent deep learning, transfer learning and data synthesis
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