Cover Image

Introducing IHARDS-CNN: A Cutting-Edge Deep Learning Method for Human Activity Recognition Using Wearable Sensors

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sedaghati, Nazanin, Kargar, Masoud, Abbaskhani, Sina
Format:	Preprint
Published:	2024
Subjects:	Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LayeredSense: Hierarchical Recognition of Complex Daily Activities Using Wearable Sensors
by: Lam, Chak Man
Published: (2025)

Large Language Models for Wearable Sensor-Based Human Activity Recognition, Health Monitoring, and Behavioral Modeling: A Survey of Early Trends, Datasets, and Challenges
by: Ferrara, Emilio
Published: (2024)

Feature Anchors for Time-Series Sensor-Based Human Activity Recognition
by: Yao, Ruijie, et al.
Published: (2026)

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

Comparison of Deep Learning Techniques on Human Activity Recognition using Ankle Inertial Signals
by: Nazari, Farhad, et al.
Published: (2024)

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

Physical-aware Cross-modal Adversarial Network for Wearable Sensor-based Human Action Recognition
by: Ni, Jianyuan, et al.
Published: (2023)

Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition
by: Xie, Haoyu, et al.
Published: (2025)

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

On-Device Training Empowered Transfer Learning For Human Activity Recognition
by: Kang, Pixi, et al.
Published: (2024)

Reducing Label Dependency in Human Activity Recognition with Wearables: From Supervised Learning to Novel Weakly Self-Supervised Approaches
by: Sheng, Taoran, et al.
Published: (2025)

Lightweight and Generalizable Multi-Sensor Human Activity Recognition via Cascaded Fusion and Style-Augmented Decomposition
by: Chenglong, Wang, et al.
Published: (2026)

Optimum signal duration for Human Activity Recognition based on Deep Convolutional Neural Networks
by: Nazari, Farhad, et al.
Published: (2024)

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

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

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

Robust In-the-Wild Exercise Recognition from a Single Wearable: Data-Side Fusion, Sensor Rotation, and Feature Engineering
by: Phan, Hoang Khang, et al.
Published: (2025)

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

WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition
by: Bock, Marius, et al.
Published: (2023)

Sensor2Text: Enabling Natural Language Interactions for Daily Activity Tracking Using Wearable Sensors
by: Chen, Wenqiang, et al.
Published: (2024)

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

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

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

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

A Dataset for Multi-intensity Continuous Human Activity Recognition through Passive Sensing
by: Sen, Argha, et al.
Published: (2024)

A Light-weight Deep Human Activity Recognition Algorithm Using Multi-knowledge Distillation
by: Chen, Runze, et al.
Published: (2021)

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

Triple Spectral Fusion for Sensor-based Human Activity Recognition
by: Zhang, Ye, et al.
Published: (2026)

Trust Recognition in Human-Robot Cooperation Using EEG
by: Xu, Caiyue, et al.
Published: (2024)

Human-AI Collaboration for Wearable Technology Component Standardization
by: Lydner, Andrew M.
Published: (2024)

A Graph-based Approach to Human Activity Recognition
by: Peroutka, Thomas, et al.
Published: (2024)

RAGent: Physics-Aware Agentic Reasoning for Training-Free mmWave Human Activity Recognition
by: Han, Mingda, et al.
Published: (2026)

Predicting Volleyball Season Performance Using Pre-Season Wearable Data and Machine Learning
by: Ozolcer, Melik, et al.
Published: (2025)

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

Layout Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST)
by: Thukral, Megha, et al.
Published: (2024)

Using Large Language Models to Compare Explainable Models for Smart Home Human Activity Recognition
by: Fiori, Michele, et al.
Published: (2024)

Research on Wearable Technologies for Learning: A Systematic Review
by: Chu, Sharon Lynn, et al.
Published: (2022)

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

No Vision, No Wearables: 5G-based 2D Human Pose Recognition with Integrated Sensing and Communications
by: Li, Haojin, et al.
Published: (2025)

MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based Learning
by: Xiao, Minghao, et al.
Published: (2024)