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A Deep Machine Learning Method for Concurrent and Interleaved Human Activity Recognition

https://doi.org/10.3390/s20205770

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-10997-4_33openalex-snapshot

Human Activity Recognition with Convolutional Neural Networks

inferredcites →https://doi.org/10.1007/978-3-319-54283-6_19openalex-snapshot

User Indoor Localisation System Enhances Activity Recognition: A Proof of Concept

inferredcites →https://doi.org/10.1007/978-3-319-66808-6openalex-snapshot

Machine Learning and Knowledge Extraction

inferredcites →https://doi.org/10.1007/978-3-319-70139-4_31openalex-snapshot

Deep Bi-directional Long Short-Term Memory Model for Short-Term Traffic Flow Prediction

inferredcites →https://doi.org/10.1007/978-3-540-24646-6_1openalex-snapshot

Activity Recognition from User-Annotated Acceleration Data

inferredcites →https://doi.org/10.1007/978-3-540-24646-6_10openalex-snapshot

Activity Recognition in the Home Using Simple and Ubiquitous Sensors

inferredcites →https://doi.org/10.1007/978-3-540-39653-6_6openalex-snapshot

Inferring High-Level Behavior from Low-Level Sensors

inferredcites →https://doi.org/10.1007/s00779-009-0277-9openalex-snapshot

An activity monitoring system for elderly care using generative and discriminative models

inferredcites →https://doi.org/10.1089/15305620260507530openalex-snapshot

Health "Smart" Home: Information Technology for Patients at Home

inferredcites →https://doi.org/10.1109/asru.2013.6707742openalex-snapshot

Hybrid speech recognition with Deep Bidirectional LSTM

inferredcites →https://doi.org/10.1109/cvpr.2015.7298878openalex-snapshot

Long-term recurrent convolutional networks for visual recognition and description

inferredcites →https://doi.org/10.1109/icicct.2018.8473291openalex-snapshot

Handwritten Character Recognition Using Deep-Learning

inferredcites →https://doi.org/10.1109/mprv.2010.7openalex-snapshot

Human Activity Recognition and Pattern Discovery

inferredcites →https://doi.org/10.1109/siu.2016.7496073openalex-snapshot

Human activity recognition using deep belief networks

inferredcites →https://doi.org/10.1109/tnnls.2016.2582924openalex-snapshot

LSTM: A Search Space Odyssey

inferredcites →https://doi.org/10.1109/tpami.2016.2599174openalex-snapshot

Long-Term Recurrent Convolutional Networks for Visual Recognition and Description

inferredcites →https://doi.org/10.1109/tsmca.2009.2025137openalex-snapshot

Keeping the Resident in the Loop: Adapting the Smart Home to the User

inferredcites →https://doi.org/10.1145/1273496.1273605openalex-snapshot

Piecewise pseudolikelihood for efficient training of conditional random fields

inferredcites →https://doi.org/10.1145/1329125.1329409openalex-snapshot

Conditional random fields for activity recognition

inferredcites →https://doi.org/10.1145/1882992.1883032openalex-snapshot

Conditional random fields for activity recognition in smart environments

inferredcites →https://doi.org/10.1155/2016/4560365openalex-snapshot

Two-Layer Hidden Markov Model for Human Activity Recognition in Home Environments

inferredcites →https://doi.org/10.1177/1550147718772541openalex-snapshot

Log-Viterbi algorithm applied on second-order hidden Markov model for human activity recognition

inferredcites →https://doi.org/10.1177/155014775389091openalex-snapshot

PARE: Profile-Applied Reasoning Engine for Context-Aware System

inferredcites →https://doi.org/10.1587/transinf.2016edp7179openalex-snapshot

LSTM-CRF Models for Named Entity Recognition

inferredcites →https://doi.org/10.21236/ada534437openalex-snapshot

Activity Recognition and Monitoring Using Multiple Sensors on Different Body Positions

inferredcites →https://doi.org/10.21437/interspeech.2017-405openalex-snapshot

English Conversational Telephone Speech Recognition by Humans and Machines

inferredcites →https://doi.org/10.3115/1610075.1610126openalex-snapshot

A skip-chain conditional random field for ranking meeting utterances by importance

inferredcites →https://doi.org/10.31209/2018.100000035openalex-snapshot

State-Space based Linear Modeling for Human Activity Recognition in Smart Space

inferredcites →https://doi.org/10.3390/fi11020042openalex-snapshot

3D-CNN-Based Fused Feature Maps with LSTM Applied to Action 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/s16071033openalex-snapshot

A Novel Wearable Sensor-Based Human Activity Recognition Approach Using Artificial Hydrocarbon Networks

inferredcites →https://doi.org/10.48550/arxiv.1406.5679openalex-snapshot

Deep Fragment Embeddings for Bidirectional Image Sentence Mapping

inferredcites →https://doi.org/10.48550/arxiv.1604.08880openalex-snapshot

Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables

inferredcites →https://doi.org/10.7551/mitpress/7432.001.0001openalex-snapshot

Introduction to Statistical Relational Learning

What points at this work

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

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Residual Life Prediction Method of Industrial Equipment Based on Deep Learning and Attention Mechanism

inferred← citeshttps://doi.org/10.1007/978-3-030-91608-4_8openalex-snapshot

A Hierarchical Multi-label Classification of Multi-resident Activities

inferred← citeshttps://doi.org/10.1007/978-3-031-60027-2_4openalex-snapshot

A Comprehensive Review of Deep Learning for Activity Recognition

inferred← citeshttps://doi.org/10.1007/978-3-031-71821-2_7openalex-snapshot

Importance of Activity and Emotion Detection in the Field of Ambient Assisted Living

inferred← citeshttps://doi.org/10.1007/978-3-031-93697-5_32openalex-snapshot

Activity Recognition in Smart Homes with Knowledge Graph and Attention-Guided Learning

inferred← citeshttps://doi.org/10.1007/978-3-032-16830-6_5openalex-snapshot

Dual Attention-Driven Sync-LSTM for Concurrent Human Activity Recognition

inferred← citeshttps://doi.org/10.1007/978-981-99-6544-1_30openalex-snapshot

Hybrid Deep Learning-Based Human Activity Recognition (HAR) Using Wearable Sensors: An Edge Computing Approach

inferred← citeshttps://doi.org/10.1007/s10439-026-04061-5openalex-snapshot

AI-Driven Activity of Daily Living Monitoring: A Comprehensive Review of Ambient, Wearable, and Fusion-Based Sensing Technologies

inferred← citeshttps://doi.org/10.1007/s11042-023-14492-0openalex-snapshot

Deep-HAR: an ensemble deep learning model for recognizing the simple, complex, and heterogeneous human activities

inferred← citeshttps://doi.org/10.1007/s11227-026-08628-wopenalex-snapshot

Ccnl-fallnet: an ensemble deep learning approach for fall detection with the humCareFall dataset

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Investigating activity recognition in smart homes through embedded feature selection

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WISNet: A deep neural network based human activity recognition system

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RecurrentHAR: A Novel Transfer Learning-Based Deep Learning Model for Sequential, Complex, Concurrent, Interleaved, and Heterogeneous Type Human Activity Recognition

inferred← citeshttps://doi.org/10.1109/access.2024.3361650openalex-snapshot

Tuning Machine Learning to Address Process Mining Requirements

inferred← citeshttps://doi.org/10.1109/i-pact58649.2023.10434296openalex-snapshot

Identification of Human Movement Through a Novel Machine Learning Approach

inferred← citeshttps://doi.org/10.1109/iiceta54559.2022.9888545openalex-snapshot

Solar Tracking System by Utilized Optimized Algorithm Based Deep Learning

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Comparison of Feature Extraction Techniques for Ambient Sensor-based In-home Activity Recognition

inferred← citeshttps://doi.org/10.1109/tcss.2024.3523240openalex-snapshot

Graph-Based Methods for Multimodal Indoor Activity Recognition: A Comprehensive Survey

inferred← citeshttps://doi.org/10.1109/thms.2022.3176213openalex-snapshot

Predicting Activities of Daily Living for the Coming Time Period in Smart Homes

inferred← citeshttps://doi.org/10.1145/3517224openalex-snapshot

DeXAR

inferred← citeshttps://doi.org/10.1145/3561533openalex-snapshot

Explainable Activity Recognition for Smart Home Systems

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Scaling Context-Aware Task Assistants that Learn from Demonstration and Adapt through Mixed-Initiative Dialogue

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An Advanced Attention-Enhanced Hybrid Deep Learning Model for WBSNs’ Gait Pattern Recognition

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WISNet: A Deep Neural Network based Human Activity Recognition System

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Hybrid deep neural network models for boosting Human Activity Recognition using IoT wearables

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Adapted Long Short-Term Memory (LSTM) for Concurrent\\ Human Activity Recognition

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Spatio-Temporal Information for Action Recognition in Thermal Video Using Deep Learning Model

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Application of Deep Learning for Quality of Service Enhancement in Internet of Things: A Review

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Unsupervised End-to-End Deep Model for Newborn and Infant Activity Recognition

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Activity Recognition in Residential Spaces with Internet of Things Devices and Thermal Imaging

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Body Temperature—Indoor Condition Monitor and Activity Recognition by MEMS Accelerometer Based on IoT-Alert System for People in Quarantine Due to COVID-19

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Applying Machine Learning Technologies Based on Historical Activity Features for Multi-Resident Activity Recognition

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Design of a Kitchen-Monitoring and Decision-Making System to Support AAL Applications

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Semi-Supervised Adversarial Learning Using LSTM for Human Activity Recognition

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Incremental Learning of Human Activities in Smart Homes

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Semi-Supervised Adversarial Auto-Encoder to Expedite Human Activity Recognition

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A Novel Methodology for Human Kinematics Motion Detection Based on Smartphones Sensor Data Using Artificial Intelligence

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Human Activity Recognition using Resnet-34 Model

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Tailoring Machine Learning for Process Mining

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Sensor-based gesture recognition with convolutional neural networks

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Hybrid AI approaches for context recognition : application to activity recognition and anticipation and context abnormalities handling in Ambient Intelligence environments

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