Imagen de Portada

Embedded Inter-Subject Variability in Adversarial Learning for Inertial Sensor-Based Human Activity Recognition

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Calatrava-Nicolás, Francisco M., Miyauchi, Shoko, Rey, Vitor Fortes, Lukowicz, Paul, Stoyanov, Todor, Mozos, Oscar Martinez
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

Collaborative Human Activity Recognition with Passive Inter-Body Electrostatic Field
por: Bian, Sizhen, et al.
Publicado: (2025)

PIM: Physics-Informed Multi-task Pre-training for Improving Inertial Sensor-Based Human Activity Recognition
por: Nshimyimana, Dominique, et al.
Publicado: (2025)

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

Sensor Data Augmentation from Skeleton Pose Sequences for Improving Human Activity Recognition
por: Zolfaghari, Parham, et al.
Publicado: (2024)

Hybrid CNN-Dilated Self-attention Model Using Inertial and Body-Area Electrostatic Sensing for Gym Workout Recognition, Counting, and User Authentification
por: Bian, Sizhen, et al.
Publicado: (2025)

KAN-MLP-Mixer: A comprehensive investigation of the usage of Kolmogorov-Arnold Networks (KANs) for improving IMU-based Human Activity Recognition
por: Liu, Mengxi, et al.
Publicado: (2026)

TinierHAR: Towards Ultra-Lightweight Deep Learning Models for Efficient Human Activity Recognition on Edge Devices
por: Bian, Sizhen, et al.
Publicado: (2025)

Beyond Confusion: A Fine-grained Dialectical Examination of Human Activity Recognition Benchmark Datasets
por: Geissler, Daniel, et al.
Publicado: (2024)

TxP: Reciprocal Generation of Ground Pressure Dynamics and Activity Descriptions for Improving Human Activity Recognition
por: Ray, Lala Shakti Swarup, et al.
Publicado: (2025)

MuJo: Multimodal Joint Feature Space Learning for Human Activity Recognition
por: Fritsch, Stefan Gerd, et al.
Publicado: (2024)

FieldHAR: A Fully Integrated End-to-end RTL Framework for Human Activity Recognition with Neural Networks from Heterogeneous Sensors
por: Liu, Mengxi, et al.
Publicado: (2023)

Enhancing Inertial Hand based HAR through Joint Representation of Language, Pose and Synthetic IMUs
por: Rey, Vitor Fortes, et al.
Publicado: (2024)

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

Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook
por: Bian, Sizhen, et al.
Publicado: (2026)

FusionNet: a frame interpolation network for 4D heart models
por: Chang, Chujie, et al.
Publicado: (2026)

Initial Findings on Sensor based Open Vocabulary Activity Recognition via Text Embedding Inversion
por: Ray, Lala Shakti Swarup, et al.
Publicado: (2025)

MeciFace: Mechanomyography and Inertial Fusion-based Glasses for Edge Real-Time Recognition of Facial and Eating Activities
por: Bello, Hymalai, et al.
Publicado: (2023)

Strategies and Challenges of Efficient White-Box Training for Human Activity Recognition
por: Geissler, Daniel, et al.
Publicado: (2024)

Combining Human-centred Explainability and Explainable AI
por: Koch, Janin, et al.
Publicado: (2025)

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

ChairPose: Pressure-based Chair Morphology Grounded Sitting Pose Estimation through Simulation-Assisted Training
por: Ray, Lala Shakti Swarup, et al.
Publicado: (2025)

Salud mental en los estudiantes de doctorado
por: Mozos, Oscar
Publicado: (2021)

Human Activity Recognition in Daily Life and Sports Using Inertial Sensors
por: Schuldhaus, Dominik
Publicado: (2025)

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

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

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

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

This Is Taking Too Long -- Investigating Time as a Proxy for Energy Consumption of LLMs
por: Krupp, Lars, et al.
Publicado: (2026)

On the Generalization Limits of Quantum Generative Adversarial Networks with Pure State Generators
por: Frkatovic, Jasmin, et al.
Publicado: (2025)

Boosting Classification with Quantum-Inspired Augmentations
por: Tschöpe, Matthias, et al.
Publicado: (2025)

Text me the data: Generating Ground Pressure Sequence from Textual Descriptions for HAR
por: Ray, Lala Shakti Swarup, et al.
Publicado: (2024)

Exploiting Radiance Fields for Grasp Generation on Novel Synthetic Views
por: Kashyap, Abhishek, et al.
Publicado: (2025)

Hidden in Plain Sound: Environmental Backdoor Poisoning Attacks on Whisper, and Mitigations
por: Bartolini, Jonatan, et al.
Publicado: (2024)

Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey
por: Bian, Sizhen, et al.
Publicado: (2024)

Assessing the Impact of Sampling Irregularity in Time Series Data: Human Activity Recognition As A Case Study
por: Liu, Mengxi, et al.
Publicado: (2025)

QuKAN: A Quantum Circuit Born Machine approach to Quantum Kolmogorov Arnold Networks
por: Werner, Yannick, et al.
Publicado: (2025)

Beyond Predefined Actions: Integrating Behavior Trees and Dynamic Movement Primitives for Robot Learning from Demonstration
por: Domínguez, David Cáceres, et al.
Publicado: (2025)

Initial Investigation of Kolmogorov-Arnold Networks (KANs) as Feature Extractors for IMU Based Human Activity Recognition
por: Liu, Mengxi, et al.
Publicado: (2024)

Bridging Generalization and Personalization in Human Activity Recognition via On-Device Few-Shot Learning
por: Kang, Pixi, et al.
Publicado: (2025)