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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-47426-3_17openalex-snapshot
Multi-Layer Cross Loss Model for Zero-Shot Human Activity Recognition
inferredcites →https://doi.org/10.1007/978-3-030-58621-8_45openalex-snapshot
Contrastive Multiview Coding
inferredcites →https://doi.org/10.1007/978-3-319-98204-5_1openalex-snapshot
A Framework for Semi-Supervised Adaptive Learning for Activity Recognition in Healthcare Applications
inferredcites →https://doi.org/10.1007/s42979-022-01015-1openalex-snapshot
IoT-Based Smart Health Monitoring System for COVID-19
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.inffus.2021.12.003openalex-snapshot
Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions
inferredcites →https://doi.org/10.1016/j.neucom.2020.10.056openalex-snapshot
Cross-subject transfer learning in human activity recognition systems using generative adversarial networks
inferredcites →https://doi.org/10.1109/access.2021.3077764openalex-snapshot
Baseline Model Training in Sensor-Based Human Activity Recognition: An Incremental Learning Approach
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00975openalex-snapshot
Momentum Contrast for Unsupervised Visual Representation Learning
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00792openalex-snapshot
MeMOT: Multi-Object Tracking with Memory
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01760openalex-snapshot
GroupViT: Semantic Segmentation Emerges from Text Supervision
inferredcites →https://doi.org/10.1109/cvpr52688.2022.02032openalex-snapshot
DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion
inferredcites →https://doi.org/10.1109/cvprw.2009.5204354openalex-snapshot
Temporal segmentation and activity classification from first-person sensing
inferredcites →https://doi.org/10.1109/icassp.2017.7952187openalex-snapshot
Ultrasound based gesture recognition
inferredcites →https://doi.org/10.1109/iccv.2019.00875openalex-snapshot
MMAct: A Large-Scale Dataset for Cross Modal Human Action Understanding
inferredcites →https://doi.org/10.1109/icetech.2015.7275024openalex-snapshot
An effective approach for human activity recognition on smartphone
inferredcites →https://doi.org/10.1109/icpr.2018.8545435openalex-snapshot
Human Activity Recognition Based On Convolutional Neural Network
inferredcites →https://doi.org/10.1109/ijcb52358.2021.9484410openalex-snapshot
Contrastive Self-supervised Learning for Sensor-based Human Activity Recognition
inferredcites →https://doi.org/10.1109/iswc.2012.13openalex-snapshot
Introducing a New Benchmarked Dataset for Activity Monitoring
inferredcites →https://doi.org/10.1109/tcpmt.2018.2799987openalex-snapshot
An sEMG-Based Human–Robot Interface for Robotic Hands Using Machine Learning and Synergies
inferredcites →https://doi.org/10.1109/tcsvt.2011.2177182openalex-snapshot
Incremental Learning in Human Action Recognition Based on Snippets
inferredcites →https://doi.org/10.1109/tie.2022.3161812openalex-snapshot
Multiscale Deep Feature Learning for Human Activity Recognition Using Wearable Sensors
inferredcites →https://doi.org/10.1109/tip.2021.3086590openalex-snapshot
Semantics-Aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition
inferredcites →https://doi.org/10.1109/tmc.2019.2962760openalex-snapshot
Towards Low-Cost Sign Language Gesture Recognition Leveraging Wearables
inferredcites →https://doi.org/10.1109/tpami.2018.2798607openalex-snapshot
Multimodal Machine Learning: A Survey and Taxonomy
inferredcites →https://doi.org/10.1145/3090076openalex-snapshot
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
inferredcites →https://doi.org/10.1145/3191747openalex-snapshot
Robust Sensor-Orientation-Independent Feature Selection for Animal Activity Recognition on Collar Tags
inferredcites →https://doi.org/10.1145/3195258.3195260openalex-snapshot
Protecting Sensory Data against Sensitive Inferences
inferredcites →https://doi.org/10.1145/3328932openalex-snapshot
Multi-task Self-Supervised Learning for Human Activity Detection
inferredcites →https://doi.org/10.1145/3397330openalex-snapshot
Weakly Supervised Multi-Task Representation Learning for Human Activity Analysis Using Wearables
inferredcites →https://doi.org/10.1145/3448074openalex-snapshot
Unsupervised Human Activity Representation Learning with Multi-task Deep Clustering
inferredcites →https://doi.org/10.1145/3448093openalex-snapshot
Determinants of Longitudinal Adherence in Smartphone-Based Self-Tracking for Chronic Health Conditions
inferredcites →https://doi.org/10.1145/3463508openalex-snapshot
Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data
inferredcites →https://doi.org/10.1145/3494995openalex-snapshot
Zero-Shot Learning for IMU-Based Activity Recognition Using Video Embeddings
inferredcites →https://doi.org/10.1145/3517252openalex-snapshot
Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition
inferredcites →https://doi.org/10.1145/3550285openalex-snapshot
Augmented Adversarial Learning for Human Activity Recognition with Partial Sensor Sets
inferredcites →https://doi.org/10.1145/3550294openalex-snapshot
Bootstrapping Human Activity Recognition Systems for Smart Homes from Scratch
inferredcites →https://doi.org/10.1145/3550299openalex-snapshot
Assessing the State of Self-Supervised Human Activity Recognition Using Wearables
inferredcites →https://doi.org/10.1145/3550319openalex-snapshot
Predicting Performance Improvement of Human Activity Recognition Model by Additional Data Collection
inferredcites →https://doi.org/10.1145/3610904openalex-snapshot
Cross-Modality Graph-based Language and Sensor Data Co-Learning of Human-Mobility Interaction
inferredcites →https://doi.org/10.3390/s22103932openalex-snapshot
Inertial-Measurement-Unit-Based Novel Human Activity Recognition Algorithm Using Conformer
inferredcites →https://doi.org/10.52202/068431-0084openalex-snapshot
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128348openalex-snapshot
Multi-modal data clustering using deep learning: A systematic review
inferred← citeshttps://doi.org/10.1109/access.2025.3598088openalex-snapshot
A Review of Wearables-Based Activities of Daily Living Recognition With LLMs: Overview, Progress, and Trends
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10888324openalex-snapshot
Text Descriptions of Actions and Objects Improve Action Anticipation
inferred← citeshttps://doi.org/10.1109/ispa63168.2024.00264openalex-snapshot
Fast Adapting Few-Shot Federated Learning System for Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/jiot.2025.3633705openalex-snapshot
ActiFormer: Sign-Aware Linear Attention for Sensor-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/jiot.2025.3639422openalex-snapshot
Machar: A Frequency-Aware Mamba–Convolution Hybrid Architecture for Sensor-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/jsen.2025.3610667openalex-snapshot
A Real-Time Deployable Attention-Driven CNN–LSTM Framework for Human Activity Recognition Using Wearable Sensor
inferred← citeshttps://doi.org/10.1109/sbesc68008.2025.11288835openalex-snapshot
Synthetic Data Generation with Few-Shot Adaptation for HAR Using Wearable Sensors via Conditional SeriesGAN
inferred← citeshttps://doi.org/10.1109/tim.2025.3588988openalex-snapshot
Enhancing Multimodal Action Recognition With Semantic-Guided Feature Disentangled and Multichannel Adaptive Feature Fusion
inferred← citeshttps://doi.org/10.1109/tmc.2025.3549705openalex-snapshot
Federated Multi-Source Domain Adaptation for mmWave-Based Human Activity Recognition
inferred← citeshttps://doi.org/10.1109/tmc.2025.3573168openalex-snapshot
mmZeAR: Zero-Effort Cross-Category Action Recognition With mmWave Radar
inferred← citeshttps://doi.org/10.1109/tmc.2026.3664424openalex-snapshot
Sensor-Prompt Tuning: Aligning Time Series Foundational Models With Motion Sensors for Few-Shot Activity Recognition
inferred← citeshttps://doi.org/10.1109/tmc.2026.3673171openalex-snapshot
Active Domain Adaptation for mmWave-Based HAR via R$\acute{e}$nyi Entropy-Based Uncertainty Estimation
inferred← citeshttps://doi.org/10.1109/tmc.2026.3709564openalex-snapshot
Unsupervised Domain Adaptation for mmWave-Based HAR via Text-mmWave Alignment
inferred← citeshttps://doi.org/10.1145/3675095.3676613openalex-snapshot
Weak-Annotation of HAR Datasets using Vision Foundation Models
inferred← citeshttps://doi.org/10.1145/3699736openalex-snapshot
GOAT: A Generalized Cross-Dataset Activity Recognition Framework with Natural Language Supervision
inferred← citeshttps://doi.org/10.1145/3717608openalex-snapshot
Transfer Learning in Sensor-Based Human Activity Recognition: A Survey
inferred← citeshttps://doi.org/10.1145/3729467openalex-snapshot
Past, Present, and Future of Sensor-based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
inferred← citeshttps://doi.org/10.1145/3749479openalex-snapshot
Towards Customizable Foundation Models for Human Activity Recognition with Wearable Devices
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