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A Novel Human Activity Recognition and Prediction in Smart Home Based on Interaction
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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The Design of a Portable Kit of Wireless Sensors for Naturalistic Data Collection
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Activity Recognition in the Home Using Simple and Ubiquitous Sensors
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An unsupervised approach to activity recognition and segmentation based on object-use fingerprints
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Human activity recognition with smartphone sensors using deep learning neural networks
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From action to activity: Sensor-based activity recognition
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Semantic human activity recognition: A literature review
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Object relevance weight pattern mining for activity recognition and segmentation
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MVSS: Mobile Visual Search Based on Saliency
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RF-Switch: A Novel Wireless Controller in Smart Home
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Range Queries for Sensor-augmented RFID Systems
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Smart Home: Cognitive Interactive People-Centric Internet of Things
inferredcites →https://doi.org/10.1109/rfid.2016.7488002openalex-snapshot
Activity recognition for medical teamwork based on passive RFID
inferredcites →https://doi.org/10.1109/rfid.2017.7945586openalex-snapshot
On implementing an unconventional infant vital signs monitor with passive RFID tags
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A Survey on Human Activity Recognition using Wearable Sensors
inferredcites →https://doi.org/10.1109/tmc.2016.2549518openalex-snapshot
GRfid: A Device-Free RFID-Based Gesture Recognition System
inferredcites →https://doi.org/10.1109/tmc.2018.2793219openalex-snapshot
Fast Identification of Blocked RFID Tags
inferredcites →https://doi.org/10.1109/tnet.2019.2914412openalex-snapshot
Fast RFID Sensory Data Collection: Trade-off Between Computation and Communication Costs
inferredcites →https://doi.org/10.1109/tnet.2019.2936977openalex-snapshot
Efficient Range Queries for Large-Scale Sensor-Augmented RFID Systems
inferredcites →https://doi.org/10.1109/tsmcc.2012.2198883openalex-snapshot
Sensor-Based Activity Recognition
inferredcites →https://doi.org/10.1145/2733373.2806333openalex-snapshot
Human Activity Recognition Using Wearable Sensors by Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.1145/2939368openalex-snapshot
Exploiting Integrity Constraints for Cleaning Trajectories of RFID-Monitored Objects
inferredcites →https://doi.org/10.1587/transinf.2018dap0010openalex-snapshot
Activity Recognition Using RFID Phase Profiling in Smart Library
inferredcites →https://doi.org/10.1609/aaai.v30i1.9971openalex-snapshot
Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts
inferredcites →https://doi.org/10.3390/s130505460openalex-snapshot
Activity Recognition Using Hybrid Generative/Discriminative Models on Home Environments Using Binary Sensors
inferredcites →https://doi.org/10.3390/s140202756openalex-snapshot
A Depth-Based Fall Detection System Using a Kinect® Sensor
inferredcites →https://doi.org/10.3390/s151229858openalex-snapshot
Physical Human Activity Recognition Using Wearable Sensors
inferredcites →https://doi.org/10.3390/s16010115openalex-snapshot
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
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Cleaning trajectory data of RFID-monitored objects through conditioning under integrity constraints
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition
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Occupancy Estimation from Thermal Images
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Composite Emotion Recognition and Feedback of Social Assistive Robot for Elderly People
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Evaluating Techniques Based on Supervised Learning Methods in Casas Kyoto Dataset for Human Activity Recognition
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HARFMR: Human Activity Recognition with Feature Masking and Reconstruction
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Standardizing Your Training Process for Human Activity Recognition Models – A Comprehensive Review in the Tunable Factors
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Optimizing Household Energy Use: An Activity-Based Recommendation System for Reducing CO2 Emissions
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Sensor-Based Activity Classification for Health Monitoring of Elderly People Using a Deep Convolutional Neural Network
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Anwendung von Human Activity Recognition im Unternehmenskontext – Ein Konzept für die Zukunft?
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Die Auswirkungen des Internet der Dinge auf Organisation und Mitarbeiter
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Next Activity Prediction Based on Multi-sensor Smart Home
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In-depth analysis of design & development for sensor-based human activity recognition system
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Application of human activity/action recognition: a review
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A Survey of Machine Learning and Meta-heuristics Approaches for Sensor-based Human Activity Recognition Systems
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Spatial-temporal episodic memory modeling for ADLs: encoding, retrieval, and prediction
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Suspicious activity recognition for monitoring cheating in exams
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How the Internet of Things is reshaping teamwork: An experimental study
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Interaction-feedback network for multi-task daily activity forecasting
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Deep learning for multimodal fusion in human activity recognition using wearable sensors and visual data
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Human activity recognition using binary sensors: A systematic review
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A fusion of a deep neural network and a hidden Markov model to recognize the multiclass abnormal behavior of elderly people
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New machine learning approaches for real-life human activity recognition using smartphone sensor-based data
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A new approach for ECG artifact detection using fine-KNN classification and wavelet scattering features in vital health applications
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Efficient Human Activity Recognition Using Lookup Table-Based Neural Architecture Search for Mobile Devices
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SeReIn-M: Sensor Relationship Inference in Multi-Resident Smart Homes
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Hand Gesture Recognition System using Modified SVM and Hybrid Ensemble Classifier
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State-of-the-art Activity Recognition and Prediction Techniques Applicable to the Home Energy Management System
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Human Activity Segmentation employing Ml Algorithms and Cellular phone Sensor Data
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Human Activity Prediction Using Generative Adversarial Networks
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Deep Learning based Human Activity Recognition in Smart Home
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HARDenseNet: A 1D DenseNet Inspired Convolutional Neural Network for Human Activity Recognition with Inertial Sensors
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Greeting Gesture Analysis Using Boosting Algorithms and SHAP
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Predicting Activities of Daily Living for the Coming Time Period in Smart Homes
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Fast-Forward Reality: Authoring Error-Free Context-Aware Policies with Real-Time Unit Tests in Extended Reality
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Matching Skeleton-based Activity Representations with Heterogeneous Signals for HAR
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User-centric Activity Recognition and Prediction Model using Machine Learning Algorithms
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ChatAnalysis revisited: can ChatGPT undermine privacy in smart homes with data analysis?
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Zero-Shot Human Activity Recognition Using Non-Visual Sensors
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Radial Basis Function Neural Network with Localized Stochastic-Sensitive Autoencoder for Home-Based Activity Recognition
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Human Activity Recognition using Continuous Wavelet Transform and Convolutional Neural Networks
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Design and Implementation of a Self-Learner Smart Home System Using Machine Learning Algorithms
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