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Continuous Human Action Recognition for Human-machine Interaction: A Review

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What this work says

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

inferredcites →https://doi.org/10.1007/11744047_33openalex-snapshot

Human Detection Using Oriented Histograms of Flow and Appearance

inferredcites →https://doi.org/10.1007/978-3-030-01228-1_38openalex-snapshot

In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video

inferredcites →https://doi.org/10.1007/978-3-030-01264-9_45openalex-snapshot

CornerNet: Detecting Objects as Paired Keypoints

inferredcites →https://doi.org/10.1007/978-3-030-58548-8_28openalex-snapshot

Tracking Objects as Points

inferredcites →https://doi.org/10.1007/978-3-030-58595-2_3openalex-snapshot

Boundary-Aware Cascade Networks for Temporal Action Segmentation

inferredcites →https://doi.org/10.1007/978-3-031-20047-2_1openalex-snapshot

ByteTrack: Multi-object Tracking by Associating Every Detection Box

inferredcites →https://doi.org/10.1007/978-3-319-46448-0_2openalex-snapshot

SSD: Single Shot MultiBox Detector

inferredcites →https://doi.org/10.1007/978-3-319-46484-8_31openalex-snapshot

Pixel-Level Domain Transfer

inferredcites →https://doi.org/10.1007/978-3-319-46493-0_36openalex-snapshot

Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation

inferredcites →https://doi.org/10.1007/978-3-319-58347-1_8openalex-snapshot

Correlation Alignment for Unsupervised Domain Adaptation

inferredcites →https://doi.org/10.1007/978-3-658-40442-0_9openalex-snapshot

Generative Adversarial Nets

inferredcites →https://doi.org/10.1007/s10462-020-09904-8openalex-snapshot

A survey on video-based Human Action Recognition: recent updates, datasets, challenges, and applications

inferredcites →https://doi.org/10.1007/s11263-015-0851-8openalex-snapshot

Recognizing Fine-Grained and Composite Activities Using Hand-Centric Features and Script Data

inferredcites →https://doi.org/10.1007/s11263-021-01513-4openalex-snapshot

FairMOT: On the Fairness of Detection and Re-identification in Multiple Object Tracking

inferredcites →https://doi.org/10.1007/s11263-021-01531-2openalex-snapshot

Rescaling Egocentric Vision: Collection, Pipeline and Challenges for EPIC-KITCHENS-100

inferredcites →https://doi.org/10.1007/s11263-022-01594-9openalex-snapshot

Human Action Recognition and Prediction: A Survey

inferredcites →https://doi.org/10.1016/j.compmedimag.2021.102027openalex-snapshot

A survey on graph-based deep learning for computational histopathology

inferredcites →https://doi.org/10.1016/j.cviu.2016.10.018openalex-snapshot

The THUMOS challenge on action recognition for videos “in the wild”

inferredcites →https://doi.org/10.1016/j.fsidi.2019.200901openalex-snapshot

Vision-based human action recognition: An overview and real world challenges

inferredcites →https://doi.org/10.1016/j.neucom.2018.05.083openalex-snapshot

Deep visual domain adaptation: A survey

inferredcites →https://doi.org/10.1016/j.neucom.2021.03.059openalex-snapshot

PCCM-GAN: Photographic Text-to-Image Generation with Pyramid Contrastive Consistency Model

inferredcites →https://doi.org/10.1016/j.patcog.2019.05.020openalex-snapshot

RGB-D sensing based human action and interaction analysis: A survey

inferredcites →https://doi.org/10.1016/j.patcog.2019.107039openalex-snapshot

Fine-grained action segmentation using the semi-supervised action GAN

inferredcites →https://doi.org/10.1016/j.patcog.2019.107124openalex-snapshot

Correlation-aware adversarial domain adaptation and generalization

inferredcites →https://doi.org/10.1016/j.patcog.2020.107480openalex-snapshot

TPM: Multiple object tracking with tracklet-plane matching

inferredcites →https://doi.org/10.1016/j.patcog.2021.108043openalex-snapshot

Arbitrary-view human action recognition via novel-view action generation

inferredcites →https://doi.org/10.1109/access.2019.2939201openalex-snapshot

A Survey of Deep Learning-Based Object Detection

inferredcites →https://doi.org/10.1109/cvpr.1993.341010openalex-snapshot

Proceedings of IEEE Conference on Computer Vision and Pattern Recognition

inferredcites →https://doi.org/10.1109/cvpr.2008.4587756openalex-snapshot

Learning realistic human actions from movies

inferredcites →https://doi.org/10.1109/cvpr.2011.5995407openalex-snapshot

Action recognition by dense trajectories

inferredcites →https://doi.org/10.1109/cvpr.2011.5995444openalex-snapshot

Learning to recognize objects in egocentric activities

inferredcites →https://doi.org/10.1109/cvpr.2012.6247801openalex-snapshot

A database for fine grained activity detection of cooking activities

inferredcites →https://doi.org/10.1109/cvpr.2014.102openalex-snapshot

Multiple Granularity Analysis for Fine-Grained Action Detection

inferredcites →https://doi.org/10.1109/cvpr.2014.105openalex-snapshot

The Language of Actions: Recovering the Syntax and Semantics of Goal-Directed Human Activities

inferredcites →https://doi.org/10.1109/cvpr.2014.85openalex-snapshot

Parsing Videos of Actions with Segmental Grammars

inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot

Going deeper with convolutions

inferredcites →https://doi.org/10.1109/cvpr.2015.7298676openalex-snapshot

Finding action tubes

inferredcites →https://doi.org/10.1109/cvpr.2015.7298698openalex-snapshot

ActivityNet: A large-scale video benchmark for human activity understanding

inferredcites →https://doi.org/10.1109/cvpr.2015.7299059openalex-snapshot

Action recognition with trajectory-pooled deep-convolutional descriptors

inferredcites →https://doi.org/10.1109/cvpr.2016.116openalex-snapshot

Progressively Parsing Interactional Objects for Fine Grained Action Detection

inferredcites →https://doi.org/10.1109/cvpr.2016.216openalex-snapshot

A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection

inferredcites →https://doi.org/10.1109/cvpr.2016.308openalex-snapshot

Rethinking the Inception Architecture for Computer Vision

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot

You Only Look Once: Unified, Real-Time Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2017.106openalex-snapshot

Feature Pyramid Networks for Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2017.113openalex-snapshot

Temporal Convolutional Networks for Action Segmentation and Detection

inferredcites →https://doi.org/10.1109/cvpr.2017.140openalex-snapshot

Weakly Supervised Action Learning with RNN Based Fine-to-Coarse Modeling

inferredcites →https://doi.org/10.1109/cvpr.2017.502openalex-snapshot

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

inferredcites →https://doi.org/10.1109/cvpr.2017.632openalex-snapshot

Image-to-Image Translation with Conditional Adversarial Networks

inferredcites →https://doi.org/10.1109/cvpr.2017.634openalex-snapshot

Aggregated Residual Transformations for Deep Neural Networks

inferredcites →https://doi.org/10.1109/cvpr.2017.690openalex-snapshot

YOLO9000: Better, Faster, Stronger

inferredcites →https://doi.org/10.1109/cvpr.2018.00474openalex-snapshot

MobileNetV2: Inverted Residuals and Linear Bottlenecks

inferredcites →https://doi.org/10.1109/cvpr.2018.00633openalex-snapshot

AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions

inferredcites →https://doi.org/10.1109/cvpr.2018.00644openalex-snapshot

Cascade R-CNN: Delving Into High Quality Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2018.00705openalex-snapshot

Temporal Deformable Residual Networks for Action Segmentation in Videos

inferredcites →https://doi.org/10.1109/cvpr.2018.00716openalex-snapshot

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

inferredcites →https://doi.org/10.1109/cvpr.2018.00913openalex-snapshot

Path Aggregation Network for Instance Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2018.00983openalex-snapshot

Towards Universal Representation for Unseen Action Recognition

inferredcites →https://doi.org/10.1109/cvpr.2019.00065openalex-snapshot

Bag of Tricks for Image Classification with Convolutional Neural Networks

inferredcites →https://doi.org/10.1109/cvpr.2019.00091openalex-snapshot

Libra R-CNN: Towards Balanced Learning for Object Detection

inferredcites →https://doi.org/10.1109/cvpr.2019.00369openalex-snapshot

MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation

inferredcites →https://doi.org/10.1109/cvpr.2019.00503openalex-snapshot

Contrastive Adaptation Network for Unsupervised Domain Adaptation

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00269openalex-snapshot

FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00947openalex-snapshot

Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation

inferredcites →https://doi.org/10.1109/cvpr42600.2020.01022openalex-snapshot

Multiple Anchor Learning for Visual Object Detection

inferredcites →https://doi.org/10.1109/cvpr42600.2020.01079openalex-snapshot

EfficientDet: Scalable and Efficient Object Detection

inferredcites →https://doi.org/10.1109/cvpr42600.2020.01404openalex-snapshot

Improving Action Segmentation via Graph-Based Temporal Reasoning

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00826openalex-snapshot

Temporal Action Segmentation from Timestamp Supervision

inferredcites →https://doi.org/10.1109/cvpr46437.2021.01025openalex-snapshot

Semi-Supervised Action Recognition with Temporal Contrastive Learning

inferredcites →https://doi.org/10.1109/cvpr46437.2021.01219openalex-snapshot

SiamMOT: Siamese Multi-Object Tracking

inferredcites →https://doi.org/10.1109/cvpr46437.2021.01283openalex-snapshot

Scaled-YOLOv4: Scaling Cross Stage Partial Network

inferredcites →https://doi.org/10.1109/cvpr46437.2021.01653openalex-snapshot

Global2Local: Efficient Structure Search for Video Action Segmentation

inferredcites →https://doi.org/10.1109/cvprw50498.2020.00203openalex-snapshot

CSPNet: A New Backbone that can Enhance Learning Capability of CNN

inferredcites →https://doi.org/10.1109/iccv.2007.4409105openalex-snapshot

Retrieving actions in movies

inferredcites →https://doi.org/10.1109/iccv.2017.214openalex-snapshot

Chained Cascade Network for Object Detection

inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-snapshot

Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

inferredcites →https://doi.org/10.1109/iccv.2017.322openalex-snapshot

Mask R-CNN

inferredcites →https://doi.org/10.1109/iccv.2017.324openalex-snapshot

Focal Loss for Dense Object Detection

inferredcites →https://doi.org/10.1109/iccv.2017.54openalex-snapshot

DeNet: Scalable Real-Time Object Detection with Directed Sparse Sampling

inferredcites →https://doi.org/10.1109/iccv.2017.74openalex-snapshot

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

inferredcites →https://doi.org/10.1109/iccv.2019.00092openalex-snapshot

Toyota Smarthome: Real-World Activities of Daily Living

inferredcites →https://doi.org/10.1109/iccv.2019.00103openalex-snapshot

Tracking Without Bells and Whistles

inferredcites →https://doi.org/10.1109/iccv.2019.00566openalex-snapshot

Predicting the Future: A Jointly Learnt Model for Action Anticipation

inferredcites →https://doi.org/10.1109/iccv.2019.00612openalex-snapshot

CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features

inferredcites →https://doi.org/10.1109/iccv.2019.00615openalex-snapshot

Scale-Aware Trident Networks for Object Detection

inferredcites →https://doi.org/10.1109/iccv.2019.00667openalex-snapshot

CenterNet: Keypoint Triplets for Object Detection

inferredcites →https://doi.org/10.1109/iccv.2019.00972openalex-snapshot

FCOS: Fully Convolutional One-Stage Object Detection

inferredcites →https://doi.org/10.1109/iccv48922.2021.01599openalex-snapshot

Refining Action Segmentation with Hierarchical Video Representations

inferredcites →https://doi.org/10.1109/icip.2016.7533003openalex-snapshot

Simple online and realtime tracking

inferredcites →https://doi.org/10.1109/icip.2017.8296962openalex-snapshot

Simple online and realtime tracking with a deep association metric

inferredcites →https://doi.org/10.1109/icpr48806.2021.9412306openalex-snapshot

Context Aware Group Activity Recognition

inferredcites →https://doi.org/10.1109/iswc.2009.32openalex-snapshot

An Analysis of Sensor-Oriented vs. Model-Based Activity Recognition

inferredcites →https://doi.org/10.1109/tip.2021.3061927openalex-snapshot

A Novel Visual Representation on Text Using Diverse Conditional GAN for Visual Recognition

inferredcites →https://doi.org/10.1109/tip.2021.3108349openalex-snapshot

TMMF: Temporal Multi-Modal Fusion for Single-Stage Continuous Gesture Recognition

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

LSTM: A Search Space Odyssey

inferredcites →https://doi.org/10.1109/tnnls.2020.2978386openalex-snapshot

A Comprehensive Survey on Graph Neural Networks

inferredcites →https://doi.org/10.1109/tpami.2015.2389824openalex-snapshot

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

inferredcites →https://doi.org/10.1109/tpami.2019.2901464openalex-snapshot

Moments in Time Dataset: One Million Videos for Event Understanding

inferredcites →https://doi.org/10.1109/tpami.2020.3021756openalex-snapshot

MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation

inferredcites →https://doi.org/10.1109/tpami.2021.3058606openalex-snapshot

Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition

inferredcites →https://doi.org/10.1109/tpami.2021.3126682openalex-snapshot

Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding

inferredcites →https://doi.org/10.1109/wacv.2017.27openalex-snapshot

Two Stream LSTM: A Deep Fusion Framework for Human Action Recognition

inferredcites →https://doi.org/10.1109/wacv.2019.00027openalex-snapshot

Coupled Generative Adversarial Network for Continuous Fine-Grained Action Segmentation

inferredcites →https://doi.org/10.1145/2493432.2493482openalex-snapshot

Combining embedded accelerometers with computer vision for recognizing food preparation activities

inferredcites →https://doi.org/10.1145/2939672.2939778openalex-snapshot

"Why Should I Trust You?"

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1145/3448823.3448827openalex-snapshot

Semi-supervised Learning Combining 2DCNNs and Video Compression for Action Recognition

inferredcites →https://doi.org/10.1609/aaai.v31i1.11231openalex-snapshot

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

inferredcites →https://doi.org/10.1609/aaai.v32i1.11784openalex-snapshot

Wasserstein Distance Guided Representation Learning for Domain Adaptation

inferredcites →https://doi.org/10.1609/aaai.v33i01.33019259openalex-snapshot

M2Det: A Single-Shot Object Detector Based on Multi-Level Feature Pyramid Network

inferredcites →https://doi.org/10.1609/aaai.v35i4.16377openalex-snapshot

Temporal Relational Modeling with Self-Supervision for Action Segmentation

inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot

Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

inferredcites →https://doi.org/10.3390/electronics10202470openalex-snapshot

CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope

inferredcites →https://doi.org/10.3390/s19051005openalex-snapshot

A Comprehensive Survey of Vision-Based Human Action Recognition Methods

inferredcites →https://doi.org/10.4230/oasics.ng-res.2024.2openalex-snapshot

A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)

inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot

Very Deep Convolutional Networks for Large-Scale Image Recognition

inferredcites →https://doi.org/10.48550/arxiv.1411.1784openalex-snapshot

Conditional Generative Adversarial Nets

inferredcites →https://doi.org/10.48550/arxiv.1412.6806openalex-snapshot

Striving for Simplicity: The All Convolutional Net

inferredcites →https://doi.org/10.48550/arxiv.1602.07360openalex-snapshot

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

inferredcites →https://doi.org/10.48550/arxiv.1609.03499openalex-snapshot

WaveNet: A Generative Model for Raw Audio

inferredcites →https://doi.org/10.48550/arxiv.1701.06659openalex-snapshot

DSSD : Deconvolutional Single Shot Detector

inferredcites →https://doi.org/10.48550/arxiv.1705.06950openalex-snapshot

The Kinetics Human Action Video Dataset

inferredcites →https://doi.org/10.48550/arxiv.1803.01271openalex-snapshot

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

inferredcites →https://doi.org/10.48550/arxiv.1805.12233openalex-snapshot

How Important Is a Neuron?

inferredcites →https://doi.org/10.48550/arxiv.2004.10934openalex-snapshot

YOLOv4: Optimal Speed and Accuracy of Object Detection

inferredcites →https://doi.org/10.48550/arxiv.2009.07896openalex-snapshot

Captum: A unified and generic model interpretability library for PyTorch

inferredcites →https://doi.org/10.48550/arxiv.2107.08430openalex-snapshot

YOLOX: Exceeding YOLO Series in 2021

inferredcites →https://doi.org/10.5244/c.28openalex-snapshot

Proceedings of the British Machine Vision Conference 2014

inferredcites →https://doi.org/10.5244/c.34.5openalex-snapshot

CornerNet-Lite: Efficient Keypoint based Object Detection

inferredcites →https://doi.org/10.5244/c.35.171openalex-snapshot

With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition

inferredcites →https://doi.org/10.5555/2188385.2188410openalex-snapshot

A kernel two-sample test

inferredcites →https://doi.org/10.57702/jtuxnt5mopenalex-snapshot

The kinetics human action video dataset

What points at this work

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

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Cicada‐Wing Inspired Cellulose Paper Sensor for Sustainable Wearable and Smart Home Applications

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Human Action Recognition Using Mediapipe Holistic Keypoints: A Deep Learning Approach

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SCALE: Semantic- and Confidence-Aware Conditional Variational Autoencoder for Zero-Shot Skeleton-Based Action Recognition

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Enhancing Continuous Skeleton-Based Human Gesture Recognition by Incorporating Text Descriptions

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Thermal infrared action recognition with two-stream shift Graph Convolutional Network

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A survey of video-based human action recognition in team sports

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Enhancing early action prediction in videos through temporal composition of sub-actions

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Interaction Confidence Attention for Human–Object Interaction Detection

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Integrating Soft Computing and Multi-Agent for Action Recognition: Basics, Challenging and Future Directions

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Change-point detection with deep learning: A review

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Foundation model-based generative AI for smart manufacturing: A paradigm shift

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Application of human action recognition in film and television editing based on multi-scale visual transformer and attention mechanism

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Vision-based action recognition for the human-machine interaction

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PCC-guided transformer with keypoint-based interaction and dynamic region-sensitive for human pose estimation

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HDMFNet: Learning complementary spatiotemporal representations via heterogeneous dual-branch multimodal fusion network for human action recognition

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Composite Janus film based on the synergistic interactions of π-π stacking and dynamic covalent bond toward direction recognition sensing

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Graph-based framework for temporal human action recognition and segmentation in industrial context

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Text-based three-dimensional geometric person retrieval

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SHMG: Semantic-guided Human Motion Generation for action recognition

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Action recognition in compressed domains: A survey

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Unsupervised temporal action segmentation with sample discrimination training and alignment-based boundary refinement

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Bridging domain and instance gaps: A prototype contrastive framework for robust human activity recognition

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mmWave-CSARNet: Continuous human activity recognition with cross-attentive boundary-frame fusion in mmWave radar

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Intelligent Volleyball action recognition integrating attention mechanism and multi-scale spatiotemporal separation algorithm

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Deep learning approaches for seizure video analysis: A review

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Determinants of Effective Human-AI Teaming in Work Contexts: A Meta-Synthesis

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Temporal-Channel Attention and Convolution Fusion for Skeleton-Based Human Action Recognition

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Action Recognition and Subsequent In-Depth Analysis for Improving the Time Efficiency of Bimanual Industrial Work

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Eliminating False Alarms in Action Detection Frameworks

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Hybrid Self-Supervised and Semi-Supervised Framework for Robust Spatio-Temporal Action Detection

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Spatio-Temporal Correlation Learning for Multiple Object Tracking

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Optimizing Human Action Recognition in Still Images Using Deep Learning Models and Grad-CAM++ for Visualization

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Human Activity Recognition Using 5G Channel State Information with Deep Learning

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FitnessAgent: A Unified Agent Framework for Open-Set and Personalized Fitness Evaluation

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A Deep Learning-Based Visual Feature Optimization Framework for Human Action Recognition

inferred← citeshttps://doi.org/10.1109/prai62207.2024.10827161openalex-snapshot

A Hypergraph Transformer With Adaptive EdgeConv for Skeleton-based Action Recognition

inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3588710openalex-snapshot

BFSTAL: Bidirectional Feature Splitting With Cross-Layer Fusion for Temporal Action Localization

inferred← citeshttps://doi.org/10.1109/tmm.2025.3607810openalex-snapshot

Jointly Understand Your Command and Intention: Reciprocal Co-Evolution Between Scene-Aware 3D Human Motion Synthesis and Analysis

inferred← citeshttps://doi.org/10.1109/wacv61041.2025.00092openalex-snapshot

Boosting Semi-Supervised Video Action Detection with Temporal Context

inferred← citeshttps://doi.org/10.1115/1.4067744openalex-snapshot

HM-SYNC: A Multimodal Dataset of Human Interactions With Advanced Manufacturing Machinery

inferred← citeshttps://doi.org/10.1142/s0218001424550139openalex-snapshot

Advancing Incremental Few-Shot Video Action Recognition with Cluster Compression and Generative Separation

inferred← citeshttps://doi.org/10.1145/3743093.3770974openalex-snapshot

SAAB: Enhancing Action Segmentation via Spatial Attention Pooling and Action-Background Classifier

inferred← citeshttps://doi.org/10.21203/rs.3.rs-10356230/v1openalex-snapshot

Discriminative Micro-Action-Aware Joint Amplifier for Skeleton-Based Action Recognition

inferred← citeshttps://doi.org/10.23919/iccas63016.2024.10773204openalex-snapshot

Transferable Convolutional Neural Networks for IMU-based Motion Gesture Recognition in Human-Machine Interaction

inferred← citeshttps://doi.org/10.32604/cmc.2024.053547openalex-snapshot

Robust Human Interaction Recognition Using Extended Kalman Filter

inferred← citeshttps://doi.org/10.32604/cmes.2025.066415openalex-snapshot

ARNet: Integrating Spatial and Temporal Deep Learning for Robust Action Recognition in Videos

inferred← citeshttps://doi.org/10.3390/app14031045openalex-snapshot

Adaptive Kalman Filter for Real-Time Visual Object Tracking Based on Autocovariance Least Square Estimation

inferred← citeshttps://doi.org/10.3390/app15042109openalex-snapshot

EHC-GCN: Efficient Hierarchical Co-Occurrence Graph Convolution Network for Skeleton-Based Action Recognition

inferred← citeshttps://doi.org/10.3390/biomedinformatics5030038openalex-snapshot

An Effective Approach for Wearable Sensor-Based Human Activity Recognition in Elderly Monitoring

inferred← citeshttps://doi.org/10.3390/electronics15143139openalex-snapshot

A Survey on Action Recognition: Multimodal Approaches, Ethical Considerations, and Feedback Mechanisms

inferred← citeshttps://doi.org/10.3390/machines14040403openalex-snapshot

Adaptive Allocation of Steering Control Weights for Intelligent Vehicles Based on a Human–Machine Non-Cooperative Game

inferred← citeshttps://doi.org/10.3390/robotics12060167openalex-snapshot

Evaluating the Performance of Mobile-Convolutional Neural Networks for Spatial and Temporal Human Action Recognition Analysis

inferred← citeshttps://doi.org/10.36680/j.itcon.2025.038openalex-snapshot

Foundations for Construction 5.0: A Review-based Taxonomy for Construction Worker Action Understanding

inferred← citeshttps://doi.org/10.4018/979-8-3373-5747-8.ch004openalex-snapshot

Bridging the Gap in Evolving Human Interactions With Machines (HIM) in the Age of Intelligent Systems

inferred← citeshttps://doi.org/10.7717/peerj-cs.3514openalex-snapshot

Complex interaction recognition via advanced multilevel feature fusion and deep learning model

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