Cover Image

Sequential Weakly Labeled Multi-Activity Localization and Recognition on Wearable Sensors using Recurrent Attention Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Kun, He, Jun, Zhang, Lei
Format:	Preprint
Published:	2020
Subjects:	Signal Processing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unimodal and Multimodal Sensor Fusion for Wearable Activity Recognition
by: Bello, Hymalai
Published: (2024)

Disentangling Imperfect: A Wavelet-Infused Multilevel Heterogeneous Network for Human Activity Recognition in Flawed Wearable Sensor Data
by: Liu, Mengna, et al.
Published: (2024)

Deep-seeded Clustering for Emotion Recognition from Wearable Physiological Sensors
by: Conceição, Marta A., et al.
Published: (2023)

Past, Present, and Future of Sensor-Based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task
by: Haresamudram, Harish, et al.
Published: (2024)

A Survey on Multimodal Wearable Sensor-based Human Action Recognition
by: Ni, Jianyuan, et al.
Published: (2024)

Cuffless Blood Pressure Estimation from Six Wearable Sensor Modalities in Multi-Motion-State Scenarios
by: Chen, Yiqiao, et al.
Published: (2025)

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

Stress Detection Using Wearable Physiological and Sociometric Sensors
by: Mozos, Oscar Martinez, et al.
Published: (2026)

A Multi-Resolution Mutual Learning Network for Multi-Label ECG Classification
by: Huang, Wei, et al.
Published: (2024)

Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition
by: Zuo, Si, et al.
Published: (2023)

Large Language Models Memorize Sensor Datasets! Implications on Human Activity Recognition Research
by: Haresamudram, Harish, et al.
Published: (2024)

Adaptive Progressive Attention Graph Neural Network for EEG Emotion Recognition
by: Feng, Tianzhi, et al.
Published: (2025)

Attentional Graph Neural Network Is All You Need for Robust Massive Network Localization
by: Yan, Wenzhong, et al.
Published: (2023)

The use of Multi-domain Electroencephalogram Representations in the building of Models based on Convolutional and Recurrent Neural Networks for Epilepsy Detection
by: Anghinoni, Luiz Antonio Nicolau, et al.
Published: (2025)

Robust Multimodal Learning Framework For Intake Gesture Detection Using Contactless Radar and Wearable IMU Sensors
by: Wang, Chunzhuo, et al.
Published: (2025)

Machine Learning Strategies for Parkinson Tremor Classification Using Wearable Sensor Data
by: Paucar-Escalante, Jesus, et al.
Published: (2025)

Attentional Graph Meta-Learning for Indoor Localization Using Extremely Sparse Fingerprints
by: Yan, Wenzhong, et al.
Published: (2025)

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

Online Action Recognition for Human Risk Prediction with Anticipated Haptic Alert via Wearables
by: Guo, Cheng, et al.
Published: (2023)

Attention-Refined Unrolling for Sparse Sequential micro-Doppler Reconstruction
by: Mazzieri, Riccardo, et al.
Published: (2023)

Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data
by: Katta, Srikar, et al.
Published: (2023)

Enhancing Activity Recognition After Stroke: Generative Adversarial Networks for Kinematic Data Augmentation
by: Hadley, Aaron J., et al.
Published: (2024)

GCMCG: A Clustering-Aware Graph Attention and Expert Fusion Network for Multi-Paradigm, Multi-task, and Cross-Subject EEG Decoding
by: Chen, Yiqiao, et al.
Published: (2025)

Freezing of Gait Detection Using Gramian Angular Fields and Federated Learning from Wearable Sensors
by: Soumma, Shovito Barua, et al.
Published: (2024)

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers
by: Fang, Xubin, et al.
Published: (2026)

Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data
by: Jeon, Eun Som, et al.
Published: (2024)

Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network
by: Yang, Pu, et al.
Published: (2025)

Integrative Deep Learning Framework for Parkinson's Disease Early Detection using Gait Cycle Data Measured by Wearable Sensors: A CNN-GRU-GNN Approach
by: Rashnu, Alireza, et al.
Published: (2024)

MSA-CNN: A Lightweight Multi-Scale CNN with Attention for Sleep Stage Classification
by: Goerttler, Stephan, et al.
Published: (2025)

EEG-GMACN: Interpretable EEG Graph Mutual Attention Convolutional Network
by: Ye, Haili, et al.
Published: (2024)

Raising the Bar(ometer): Identifying a User's Stair and Lift Usage Through Wearable Sensor Data Analysis
by: Karande, Hrishikesh Balkrishna, et al.
Published: (2024)

A Wearable Device Dataset for Mental Health Assessment Using Laser Doppler Flowmetry and Fluorescence Spectroscopy Sensors
by: Nguyen, Minh Ngoc, et al.
Published: (2025)

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

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

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

Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings
by: Yang, Zhongqi, et al.
Published: (2024)

Balancing Continual Learning and Fine-tuning for Human Activity Recognition
by: Tang, Chi Ian, et al.
Published: (2024)

Context-Aware Stress Monitoring using Wearable and Mobile Technologies in Everyday Settings
by: Aqajari, Seyed Amir Hossein, et al.
Published: (2023)

C-AAE: Compressively Anonymizing Autoencoders for Privacy-Preserving Activity Recognition in Healthcare Sensor Streams
by: Fujimoto, Ryusei, et al.
Published: (2025)

Decentralised Variational Inference Frameworks for Multi-object Tracking on Sensor Networks: Additional Notes
by: Li, Qing, et al.
Published: (2024)