Imagen de Portada

Towards Generalizable Human Activity Recognition: A Survey

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cai, Yize, Guo, Baoshen, Salim, Flora, Hong, Zhiqing
Formato:	Preprint
Publicado:	2025
Materias:	Signal Processing Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

BenchHAR: Benchmarking Self-Supervised Learning for Generalizable Sensor-based Activity Recognition
por: Cai, Yize, et al.
Publicado: (2026)

Wearable AI in the Era of Large Sensor Models
por: Cai, Yize, et al.
Publicado: (2026)

Human Activity Recognition Based on Electrocardiogram Data Only
por: Montazeri, Sina, et al.
Publicado: (2025)

iKAN: Global Incremental Learning with KAN for Human Activity Recognition Across Heterogeneous Datasets
por: Liu, Mengxi, et al.
Publicado: (2024)

Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data
por: Yuan, Hang, et al.
Publicado: (2022)

CoSS: Co-optimizing Sensor and Sampling Rate for Data-Efficient AI in Human Activity Recognition
por: Liu, Mengxi, et al.
Publicado: (2024)

Are Anxiety Detection Models Generalizable? A Cross-Activity and Cross-Population Study Using Wearables
por: Sahu, Nilesh Kumar, et al.
Publicado: (2025)

Towards Generalizable Learning Models for EEG-Based Identification of Pain Perception
por: Rezzouk, Mathis, et al.
Publicado: (2025)

TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning
por: Li, Siyang, et al.
Publicado: (2026)

Generative Resident Separation and Multi-label Classification for Multi-person Activity Recognition
por: Chen, Xi, et al.
Publicado: (2024)

A Survey of IMU Based Cross-Modal Transfer Learning in Human Activity Recognition
por: Kamboj, Abhi, et al.
Publicado: (2024)

ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic Seizures
por: Rukhsar, Salim, et al.
Publicado: (2024)

Hybrid Deep Learning Framework for CSI-Based Activity Recognition in Bandwidth-Constrained Wi-Fi Sensing
por: Fernandes, Alison M., et al.
Publicado: (2026)

Signals vs. Videos: Advancing Motion Intention Recognition for Human-Robot Collaboration in Construction
por: Chenchu, Charan Gajjala, et al.
Publicado: (2025)

FED-HARGPT: A Hybrid Centralized-Federated Approach of a Transformer-based Architecture for Human Context Recognition
por: Gibaut, Wandemberg, et al.
Publicado: (2026)

Auto-Augmentation Contrastive Learning for Wearable-based Human Activity Recognition
por: Wu, Qingyu, et al.
Publicado: (2026)

An Algorithm for On-Sensor Agnostic Detection of Changes in Human Activity for Ultra-Low-Power Applications
por: Rimoldi, Sara, et al.
Publicado: (2026)

iMove: Exploring Bio-impedance Sensing for Fitness Activity Recognition
por: Liu, Mengxi, et al.
Publicado: (2024)

Multi-channel Time Series Decomposition Network For Generalizable Sensor-Based Activity Recognition
por: Pan, Jianguo, et al.
Publicado: (2024)

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

Transfer Learning in Human Activity Recognition: A Survey
por: Dhekane, Sourish Gunesh, et al.
Publicado: (2024)

Machine Learning Techniques for Sensor-based Human Activity Recognition with Data Heterogeneity -- A Review
por: Ye, Xiaozhou, et al.
Publicado: (2024)

A Semi-amortized Lifted Learning-to-Optimize Masked (SALLO-M) Transformer Model for Scalable and Generalizable Beamforming
por: Zhang, Yubo, et al.
Publicado: (2025)

Stressor Type Matters! -- Exploring Factors Influencing Cross-Dataset Generalizability of Physiological Stress Detection
por: Prajod, Pooja, et al.
Publicado: (2024)

A Survey of Anomaly Detection in In-Vehicle Networks
por: Özdemir, Övgü, et al.
Publicado: (2024)

ClST: A Convolutional Transformer Framework for Automatic Modulation Recognition by Knowledge Distillation
por: Hou, Dongbin, et al.
Publicado: (2023)

GeNet: A Graph Neural Network-based Anti-noise Task-Oriented Semantic Communication Paradigm
por: Zheng, Chunhang, et al.
Publicado: (2024)

A Universal and Robust Framework for Multiple Gas Recognition Based-on Spherical Normalization-Coupled Mahalanobis Algorithm
por: Chen, Shuai, et al.
Publicado: (2025)

A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognition
por: Li, Xiang, et al.
Publicado: (2024)

Machine Learning Assisted Postural Movement Recognition using Photoplethysmography(PPG)
por: Maccay, Robbie, et al.
Publicado: (2024)

Tackling Electrode Shift In Gesture Recognition with HD-EMG Electrode Subsets
por: Pereira, Joao, et al.
Publicado: (2024)

Enhancing Automatic Modulation Recognition through Robust Global Feature Extraction
por: Qu, Yunpeng, et al.
Publicado: (2024)

Hawk: An Efficient NALM System for Accurate Low-Power Appliance Recognition
por: Wang, Zijian, et al.
Publicado: (2024)

Brain Foundation Models: A Survey on Advancements in Neural Signal Processing and Brain Discovery
por: Zhou, Xinliang, et al.
Publicado: (2025)

MoEMba: A Mamba-based Mixture of Experts for High-Density EMG-based Hand Gesture Recognition
por: Shabanpour, Mehran, et al.
Publicado: (2025)

Practical Wi-Fi-based Motion Recognition Under Variable Traffic Patterns
por: Yin, Guolin, et al.
Publicado: (2026)

Efficient Pain Recognition via Respiration Signals: A Single Cross-Attention Transformer Multi-Window Fusion Pipeline
por: Gkikas, Stefanos, et al.
Publicado: (2025)

Transfer Learning for Tonal Noise Prediction in VRF Units Using Thermodynamic and Vibration Signals
por: Su, ZhiWei, et al.
Publicado: (2026)

Multi-scale Transformer-based Network for Emotion Recognition from Multi Physiological Signals
por: Vu, Tu, et al.
Publicado: (2023)

Robust EEG-based Emotion Recognition Using an Inception and Two-sided Perturbation Model
por: Sartipi, Shadi, et al.
Publicado: (2024)