:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Leite, Clayton Souza, Mauranen, Henry, Zhanabatyrova, Aziza, Xiao, Yu
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2410.13605
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient Online Continual Learning in Sensor-Based Human Activity Recognition
by: Zhang, Yao, et al.
Published: (2025)

Enhancing Motion Variation in Text-to-Motion Models via Pose and Video Conditioned Editing
by: Leite, Clayton, et al.
Published: (2024)

Hierarchical Motion Captioning Utilizing External Text Data Source
by: Leite, Clayton, et al.
Published: (2025)

Mobile Exergames: Activity Recognition Based on Smartphone Sensors
by: Craveiro, David, et al.
Published: (2026)

Embedded Inter-Subject Variability in Adversarial Learning for Inertial Sensor-Based Human Activity Recognition
by: Calatrava-Nicolás, Francisco M., et al.
Published: (2026)

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)

cGAN-Based High Dimensional IMU Sensor Data Generation for Enhanced Human Activity Recognition in Therapeutic Activities
by: Mohammadzadeh, Mohammad, et al.
Published: (2023)

SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition
by: Gurung, Deepika, et al.
Published: (2026)

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

Privacy-Preserving Sensor-Based Human Activity Recognition for Low-Resource Healthcare Using Classical Machine Learning
by: Kumar, Ramakant, et al.
Published: (2026)

Beyond Isolated Frames: Enhancing Sensor-Based Human Activity Recognition through Intra- and Inter-Frame Attention
by: Shao, Shuai, et al.
Published: (2024)

Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition -- And Ways to Overcome Them
by: Haresamudram, Harish, et al.
Published: (2024)

SETransformer: A Hybrid Attention-Based Architecture for Robust Human Activity Recognition
by: Liu, Yunbo, et al.
Published: (2025)

DT4ECG: A Dual-Task Learning Framework for ECG-Based Human Identity Recognition and Human Activity Detection
by: You, Siyu, et al.
Published: (2025)

From Movements to Metrics: Evaluating Explainable AI Methods in Skeleton-Based Human Activity Recognition
by: Pellano, Kimji N., et al.
Published: (2024)

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

Unified Binary and Multiclass Margin-Based Classification
by: Wang, Yutong, et al.
Published: (2023)

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

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

Deep Adversarial Learning with Activity-Based User Discrimination Task for Human Activity Recognition
by: Calatrava-Nicolás, Francisco M., et al.
Published: (2024)

Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition
by: Tonmoy, M Tanjid Hasan, et al.
Published: (2021)

WECAR: An End-Edge Collaborative Inference and Training Framework for WiFi-Based Continuous Human Activity Recognition
by: Li, Rong, et al.
Published: (2025)

Using LLMs for Late Multimodal Sensor Fusion for Activity Recognition
by: Demirel, Ilker, et al.
Published: (2025)

Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors
by: Fenoglio, Dario, et al.
Published: (2025)

Federated Unlearning for Human Activity Recognition
by: Chen, Kongyang, et al.
Published: (2024)

Process-aware Human Activity Recognition
by: Zheng, Jiawei, et al.
Published: (2024)

Human Activity Recognition using Smartphones
by: Sonawane, Mayur, et al.
Published: (2024)

Semantically Encoding Activity Labels for Context-Aware Human Activity Recognition
by: Ge, Wen, et al.
Published: (2025)

nanoML for Human Activity Recognition
by: Bacellar, Alan T. L., et al.
Published: (2025)

Transformer-Based Contrastive Meta-Learning For Low-Resource Generalizable Activity Recognition
by: Wang, Junyao, et al.
Published: (2024)

Human Activity Recognition from Wearable Sensor Data Using Self-Attention
by: Mahmud, Saif, et al.
Published: (2020)

Kriformer: A Novel Spatiotemporal Kriging Approach Based on Graph Transformers
by: Pan, Renbin, et al.
Published: (2024)

Thou Shalt Not Prompt: Zero-Shot Human Activity Recognition in Smart Homes via Language Modeling of Sensor Data & Activities
by: Dhekane, Sourish Gunesh, et al.
Published: (2025)

Gait Recognition Based on Tiny ML and IMU Sensors
by: Zhang, Jiahang, et al.
Published: (2025)

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

Graph-Based Adversarial Domain Generalization with Anatomical Correlation Knowledge for Cross-User Human Activity Recognition
by: Ye, Xiaozhou, et al.
Published: (2025)

Transformer-based Models to Deal with Heterogeneous Environments in Human Activity Recognition
by: EK, Sannara, et al.
Published: (2022)

Transformer-Based Approach to Optimal Sensor Placement for Structural Health Monitoring of Probe Cards
by: Bejani, Mehdi, et al.
Published: (2025)

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

A Gravity-informed Spatiotemporal Transformer for Human Activity Intensity Prediction
by: Wang, Yi, et al.
Published: (2025)