SoK: Behind the Accuracy of Complex Human Activity Recognition Using Deep Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Nguyen, Duc-Anh, Le-Khac, Nhien-An |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Align and Adapt: Multimodal Multiview Human Activity Recognition under Arbitrary View Combinations
by: Nguyen, Duc-Anh, et al.
Published: (2026)
by: Nguyen, Duc-Anh, et al.
Published: (2026)
Virtual Fusion with Contrastive Learning for Single Sensor-based Activity Recognition
by: Nguyen, Duc-Anh, et al.
Published: (2023)
by: Nguyen, Duc-Anh, et al.
Published: (2023)
Transfer Learning in Human Activity Recognition: A Survey
by: Dhekane, Sourish Gunesh, et al.
Published: (2024)
by: Dhekane, Sourish Gunesh, et al.
Published: (2024)
Balancing Continual Learning and Fine-tuning for Human Activity Recognition
by: Tang, Chi Ian, et al.
Published: (2024)
by: Tang, Chi Ian, et al.
Published: (2024)
Multilinear Kernel Regression and Imputation via Manifold Learning
by: Nguyen, Duc Thien, et al.
Published: (2024)
by: Nguyen, Duc Thien, et al.
Published: (2024)
Deep Adversarial Learning with Activity-Based User Discrimination Task for Human Activity Recognition
by: Calatrava-Nicolás, Francisco M., et al.
Published: (2024)
by: Calatrava-Nicolás, Francisco M., et al.
Published: (2024)
DT4ECG: A Dual-Task Learning Framework for ECG-Based Human Identity Recognition and Human Activity Detection
by: You, Siyu, et al.
Published: (2025)
by: You, Siyu, et al.
Published: (2025)
Improve the Fitting Accuracy of Deep Learning for the Nonlinear Schrödinger Equation Using Linear Feature Decoupling Method
by: Zhang, Yunfan, et al.
Published: (2024)
by: Zhang, Yunfan, et al.
Published: (2024)
Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data
by: Yuan, Hang, et al.
Published: (2022)
by: Yuan, Hang, et al.
Published: (2022)
Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning
by: Nguyen, Duc Thien, et al.
Published: (2024)
by: Nguyen, Duc Thien, et al.
Published: (2024)
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)
by: Haresamudram, Harish, et al.
Published: (2024)
Large Language Models Memorize Sensor Datasets! Implications on Human Activity Recognition Research
by: Haresamudram, Harish, et al.
Published: (2024)
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)
by: Zuo, Si, et al.
Published: (2023)
EEG Emotion Recognition Through Deep Learning
by: Dolgopolyi, Roman, et al.
Published: (2025)
by: Dolgopolyi, Roman, et al.
Published: (2025)
Towards Sustainable Personalized On-Device Human Activity Recognition with TinyML and Cloud-Enabled Auto Deployment
by: Saha, Bidyut, et al.
Published: (2024)
by: Saha, Bidyut, et al.
Published: (2024)
Towards Generalizable Human Activity Recognition: A Survey
by: Cai, Yize, et al.
Published: (2025)
by: Cai, Yize, et al.
Published: (2025)
Human Activity Recognition Based on Electrocardiogram Data Only
by: Montazeri, Sina, et al.
Published: (2025)
by: Montazeri, Sina, et al.
Published: (2025)
Disentangling Imperfect: A Wavelet-Infused Multilevel Heterogeneous Network for Human Activity Recognition in Flawed Wearable Sensor Data
by: Liu, Mengna, et al.
Published: (2024)
by: Liu, Mengna, et al.
Published: (2024)
iKAN: Global Incremental Learning with KAN for Human Activity Recognition Across Heterogeneous Datasets
by: Liu, Mengxi, et al.
Published: (2024)
by: Liu, Mengxi, et al.
Published: (2024)
Energy-Efficient Prediction in Textile Manufacturing: Enhancing Accuracy and Data Efficiency With Ensemble Deep Transfer Learning
by: Chen, Yan-Chen, et al.
Published: (2026)
by: Chen, Yan-Chen, et al.
Published: (2026)
A Wearable Device Dataset for Mental Health Assessment Using Laser Doppler Flowmetry and Fluorescence Spectroscopy Sensors
by: Nguyen, Minh Ngoc, et al.
Published: (2025)
by: Nguyen, Minh Ngoc, et al.
Published: (2025)
Unimodal and Multimodal Sensor Fusion for Wearable Activity Recognition
by: Bello, Hymalai
Published: (2024)
by: Bello, Hymalai
Published: (2024)
Mixing Signals: Data Augmentation Approach for Deep Learning Based Modulation Recognition
by: Xu, Xinjie, et al.
Published: (2022)
by: Xu, Xinjie, et al.
Published: (2022)
Deep Multitask Learning for Pervasive BMI Estimation and Identity Recognition in Smart Beds
by: Davoodnia, Vandad, et al.
Published: (2020)
by: Davoodnia, Vandad, et al.
Published: (2020)
Hybrid Deep Learning Framework for CSI-Based Activity Recognition in Bandwidth-Constrained Wi-Fi Sensing
by: Fernandes, Alison M., et al.
Published: (2026)
by: Fernandes, Alison M., et al.
Published: (2026)
C3T: Cross-modal Transfer Through Time for Sensor-based Human Activity Recognition
by: Kamboj, Abhi, et al.
Published: (2024)
by: Kamboj, Abhi, et al.
Published: (2024)
Electric Vehicle Identification from Behind Smart Meter Data
by: Kamoona, Ammar, et al.
Published: (2025)
by: Kamoona, Ammar, et al.
Published: (2025)
Kernel Regression of Multi-Way Data via Tensor Trains with Hadamard Overparametrization: The Dynamic Graph Flow Case
by: Nguyen, Duc Thien, et al.
Published: (2025)
by: Nguyen, Duc Thien, et al.
Published: (2025)
Temporal Action Localization for Inertial-based Human Activity Recognition
by: Bock, Marius, et al.
Published: (2023)
by: Bock, Marius, et al.
Published: (2023)
Decoding Motor Behavior Using Deep Learning and Reservoir Computing
by: Lan, Tian
Published: (2025)
by: Lan, Tian
Published: (2025)
Range-aware Positional Encoding via High-order Pretraining: Theory and Practice
by: Nguyen, Viet Anh, et al.
Published: (2024)
by: Nguyen, Viet Anh, et al.
Published: (2024)
Edge-Optimized Deep Learning & Pattern Recognition Techniques for Non-Intrusive Load Monitoring of Energy Time Series
by: Athanasoulias, Sotirios
Published: (2025)
by: Athanasoulias, Sotirios
Published: (2025)
A Low-Complexity Plug-and-Play Deep Learning Model for Generalizable Massive MIMO Precoding
by: Karkan, Ali Hasanzadeh, et al.
Published: (2026)
by: Karkan, Ali Hasanzadeh, et al.
Published: (2026)
Enhancing Activity Recognition After Stroke: Generative Adversarial Networks for Kinematic Data Augmentation
by: Hadley, Aaron J., et al.
Published: (2024)
by: Hadley, Aaron J., et al.
Published: (2024)
A Low-Complexity Plug-and-Play Deep Learning Model for Massive MIMO Precoding Across Sites
by: Karkan, Ali Hasanzadeh, et al.
Published: (2025)
by: Karkan, Ali Hasanzadeh, et al.
Published: (2025)
Deep-seeded Clustering for Emotion Recognition from Wearable Physiological Sensors
by: Conceição, Marta A., et al.
Published: (2023)
by: Conceição, Marta A., et al.
Published: (2023)
Ultra Low Complexity Deep Learning Based Noise Suppression
by: Shetu, Shrishti Saha, et al.
Published: (2023)
by: Shetu, Shrishti Saha, et al.
Published: (2023)
Self-Supervised Human Activity Recognition with Localized Time-Frequency Contrastive Representation Learning
by: Taghanaki, Setareh Rahimi, et al.
Published: (2022)
by: Taghanaki, Setareh Rahimi, et al.
Published: (2022)
CoSS: Co-optimizing Sensor and Sampling Rate for Data-Efficient AI in Human Activity Recognition
by: Liu, Mengxi, et al.
Published: (2024)
by: Liu, Mengxi, et al.
Published: (2024)
Initial Investigation of Kolmogorov-Arnold Networks (KANs) as Feature Extractors for IMU Based Human Activity Recognition
by: Liu, Mengxi, et al.
Published: (2024)
by: Liu, Mengxi, et al.
Published: (2024)
Similar Items
-
Align and Adapt: Multimodal Multiview Human Activity Recognition under Arbitrary View Combinations
by: Nguyen, Duc-Anh, et al.
Published: (2026) -
Virtual Fusion with Contrastive Learning for Single Sensor-based Activity Recognition
by: Nguyen, Duc-Anh, et al.
Published: (2023) -
Transfer Learning in Human Activity Recognition: A Survey
by: Dhekane, Sourish Gunesh, et al.
Published: (2024) -
Balancing Continual Learning and Fine-tuning for Human Activity Recognition
by: Tang, Chi Ian, et al.
Published: (2024) -
Multilinear Kernel Regression and Imputation via Manifold Learning
by: Nguyen, Duc Thien, et al.
Published: (2024)