Copertina

Reducing Label Dependency in Human Activity Recognition with Wearables: From Supervised Learning to Novel Weakly Self-Supervised Approaches

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sheng, Taoran, Huber, Manfred
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Human-Computer Interaction
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Consistency Based Weakly Self-Supervised Learning for Human Activity Recognition with Wearables
di: Sheng, Taoran, et al.
Pubblicazione: (2024)

A Systematic Evaluation of Self-Supervised Learning for Label-Efficient Sleep Staging with Wearable EEG
di: Estevan, Emilio, et al.
Pubblicazione: (2025)

Label Leakage in Federated Inertial-based Human Activity Recognition
di: Bock, Marius, et al.
Pubblicazione: (2025)

Comparing Self-Supervised Learning Techniques for Wearable Human Activity Recognition
di: Ek, Sannara, et al.
Pubblicazione: (2024)

Adaptive Crowdsourcing Via Self-Supervised Learning
di: Kagrecha, Anmol, et al.
Pubblicazione: (2024)

Physically Plausible Data Augmentations for Wearable IMU-based Human Activity Recognition Using Physics Simulation
di: Oishi, Nobuyuki, et al.
Pubblicazione: (2025)

EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition
di: Zhou, Rushuang, et al.
Pubblicazione: (2023)

WearableMil: An End-to-End Framework for Military Activity Recognition and Performance Monitoring
di: Gahtan, Barak, et al.
Pubblicazione: (2024)

Advancing Location-Invariant and Device-Agnostic Motion Activity Recognition on Wearable Devices
di: Adaimi, Rebecca, et al.
Pubblicazione: (2024)

WHAR Datasets: An Open Source Library for Wearable Human Activity Recognition
di: Burzer, Maximilian, et al.
Pubblicazione: (2025)

MER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition
di: Lian, Zheng, et al.
Pubblicazione: (2024)

MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis
di: Huang, Zeyang, et al.
Pubblicazione: (2026)

Re-thinking Human Activity Recognition with Hierarchy-aware Label Relationship Modeling
di: Zuo, Jingwei, et al.
Pubblicazione: (2024)

Temporal Structure Matters for Efficient Test-Time Adaptation in Wearable Human Activity Recognition
di: Zhou, Zishu, et al.
Pubblicazione: (2026)

A Matter of Annotation: An Empirical Study on In Situ and Self-Recall Activity Annotations from Wearable Sensors
di: Hoelzemann, Alexander, et al.
Pubblicazione: (2023)

Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition
di: Ye, Weishan, et al.
Pubblicazione: (2023)

MMA: A Momentum Mamba Architecture for Human Activity Recognition with Inertial Sensors
di: Nguyen, Thai-Khanh, et al.
Pubblicazione: (2025)

Towards Green Wearable Computing: A Physics-Aware Spiking Neural Network for Energy-Efficient IMU-based Human Activity Recognition
di: Zheng, Naichuan, et al.
Pubblicazione: (2026)

IMUCoCo: Enabling Flexible On-Body IMU Placement for Human Pose Estimation and Activity Recognition
di: Zhou, Haozhe, et al.
Pubblicazione: (2025)

Predicting Driver's Perceived Risk: a Model Based on Semi-Supervised Learning Strategy
di: Huang, Siwei, et al.
Pubblicazione: (2025)

Introducing WARM-VR: Benchmark Dataset for Multimodal Wearable Affect Recognition in Virtual Reality
di: Alghoul, Karim, et al.
Pubblicazione: (2026)

Emotion Recognition in Older Adults with Quantum Machine Learning and Wearable Sensors
di: Onim, Md. Saif Hassan, et al.
Pubblicazione: (2025)

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach
di: Ta, Alan, et al.
Pubblicazione: (2025)

Beyond Labels: Information-Efficient Human-in-the-Loop Learning using Ranking and Selection Queries
di: Martín-Urcelay, Belén, et al.
Pubblicazione: (2026)

Channel-Free Human Activity Recognition via Inductive-Bias-Aware Fusion Design for Heterogeneous IoT Sensor Environments
di: Hasegawa, Tatsuhito
Pubblicazione: (2026)

Efficient Human-in-the-Loop Active Learning: A Novel Framework for Data Labeling in AI Systems
di: Huang, Yiran, et al.
Pubblicazione: (2024)

Left-Right Swapping and Upper-Lower Limb Pairing for Robust Multi-Wearable Workout Activity Detection
di: Van Der Donckt, Jonas, et al.
Pubblicazione: (2024)

Multidimensional Human Activity Recognition With Large Language Model: A Conceptual Framework
di: Hasan, Syed Mhamudul
Pubblicazione: (2024)

Revisiting Active Learning under (Human) Label Variation
di: Gruber, Cornelia, et al.
Pubblicazione: (2025)

Temporal Action Localization for Inertial-based Human Activity Recognition
di: Bock, Marius, et al.
Pubblicazione: (2023)

Beyond Physical Labels: Redefining Domains for Robust WiFi-based Gesture Recognition
di: Zhang, Xiang, et al.
Pubblicazione: (2026)

DeepConvContext: A Multi-Scale Approach to Timeseries Classification in Human Activity Recognition
di: Bock, Marius, et al.
Pubblicazione: (2025)

Optimizing Emotion Recognition with Wearable Sensor Data: Unveiling Patterns in Body Movements and Heart Rate through Random Forest Hyperparameter Tuning
di: Nur, Zikri Kholifah, et al.
Pubblicazione: (2024)

NeuroNet: A Novel Hybrid Self-Supervised Learning Framework for Sleep Stage Classification Using Single-Channel EEG
di: Lee, Cheol-Hui, et al.
Pubblicazione: (2024)

Learning Multimodal Confidence for Intention Recognition in Human-Robot Interaction
di: Zhao, Xiyuan, et al.
Pubblicazione: (2024)

From Lab to Wrist: Bridging Metabolic Monitoring and Consumer Wearables for Heart Rate and Oxygen Consumption Modeling
di: Gahtan, Barak, et al.
Pubblicazione: (2025)

rTsfNet: a DNN model with Multi-head 3D Rotation and Time Series Feature Extraction for IMU-based Human Activity Recognition
di: Enokibori, Yu
Pubblicazione: (2023)

Domain-Adversarial Anatomical Graph Networks for Cross-User Human Activity Recognition
di: Ye, Xiaozhou, et al.
Pubblicazione: (2025)

Learning with Category-Equivariant Representations for Human Activity Recognition
di: Maruyama, Yoshihiro
Pubblicazione: (2025)

Learning with Category-Equivariant Architectures for Human Activity Recognition
di: Maruyama, Yoshihiro
Pubblicazione: (2025)