Multi-channel Time Series Decomposition Network For Generalizable Sensor-Based Activity Recognition
Fuente:
arXiv
Guardado en:
| Autores principales: | Pan, Jianguo, Hu, Zhengxin, Zhang, Lingdun, Cai, Xia |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Towards Generalizable Human Activity Recognition: A Survey
por: Cai, Yize, et al.
Publicado: (2025)
por: Cai, Yize, et al.
Publicado: (2025)
PECL: A Heterogeneous Parallel Multi-Domain Network for Radar-Based Human Activity Recognition
por: Yan, Jiuqi, et al.
Publicado: (2025)
por: Yan, Jiuqi, et al.
Publicado: (2025)
Real-Time Human Activity Recognition on Edge Microcontrollers: Dynamic Hierarchical Inference with Multi-Spectral Sensor Fusion
por: Li, Boyu, et al.
Publicado: (2026)
por: Li, Boyu, et al.
Publicado: (2026)
Millimeter Wave Radar-based Human Activity Recognition for Healthcare Monitoring Robot
por: Gu, Zhanzhong, et al.
Publicado: (2024)
por: Gu, Zhanzhong, et al.
Publicado: (2024)
Process Optimization and Deployment for Sensor-Based Human Activity Recognition Based on Deep Learning
por: Liu, Hanyu, et al.
Publicado: (2025)
por: Liu, Hanyu, et al.
Publicado: (2025)
Human Activity Recognition Based on Electrocardiogram Data Only
por: Montazeri, Sina, et al.
Publicado: (2025)
por: Montazeri, Sina, et al.
Publicado: (2025)
Generative Resident Separation and Multi-label Classification for Multi-person Activity Recognition
por: Chen, Xi, et al.
Publicado: (2024)
por: Chen, Xi, et al.
Publicado: (2024)
Generalizable Indoor Human Activity Recognition Method Based on Micro-Doppler Corner Point Cloud and Dynamic Graph Learning
por: Yang, Xiaopeng, et al.
Publicado: (2024)
por: Yang, Xiaopeng, et al.
Publicado: (2024)
Warped Time Series Anomaly Detection
por: Lacoquelle, Charlotte, et al.
Publicado: (2024)
por: Lacoquelle, Charlotte, et al.
Publicado: (2024)
TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning
por: Li, Siyang, et al.
Publicado: (2026)
por: Li, Siyang, et al.
Publicado: (2026)
Multi-Sensor Fusion for UAV Classification Based on Feature Maps of Image and Radar Data
por: Sakellariou, Nikos, et al.
Publicado: (2024)
por: Sakellariou, Nikos, et al.
Publicado: (2024)
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)
por: Liu, Mengxi, et al.
Publicado: (2026)
CoSS: Co-optimizing Sensor and Sampling Rate for Data-Efficient AI in Human Activity Recognition
por: Liu, Mengxi, et al.
Publicado: (2024)
por: Liu, Mengxi, et al.
Publicado: (2024)
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects
por: Zhang, Kexin, et al.
Publicado: (2023)
por: Zhang, Kexin, et al.
Publicado: (2023)
Kolmogorov-Arnold Networks (KANs) for Time Series Analysis
por: Vaca-Rubio, Cristian J., et al.
Publicado: (2024)
por: Vaca-Rubio, Cristian J., et al.
Publicado: (2024)
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
por: Wang, Yihe, et al.
Publicado: (2024)
por: Wang, Yihe, et al.
Publicado: (2024)
Unsupervised Attention-Based Multi-Source Domain Adaptation Framework for Drift Compensation in Electronic Nose Systems
por: Zhang, Wenwen, et al.
Publicado: (2024)
por: Zhang, Wenwen, et al.
Publicado: (2024)
ARNN: Attentive Recurrent Neural Network for Multi-channel EEG Signals to Identify Epileptic Seizures
por: Rukhsar, Salim, et al.
Publicado: (2024)
por: Rukhsar, Salim, et al.
Publicado: (2024)
A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognition
por: Li, Xiang, et al.
Publicado: (2024)
por: Li, Xiang, et al.
Publicado: (2024)
Multi-scale Transformer-based Network for Emotion Recognition from Multi Physiological Signals
por: Vu, Tu, et al.
Publicado: (2023)
por: Vu, Tu, et al.
Publicado: (2023)
Are Anxiety Detection Models Generalizable? A Cross-Activity and Cross-Population Study Using Wearables
por: Sahu, Nilesh Kumar, et al.
Publicado: (2025)
por: Sahu, Nilesh Kumar, et al.
Publicado: (2025)
A Primer on Kolmogorov-Arnold Networks (KANs) for Probabilistic Time Series Forecasting
por: Vaca-Rubio, Cristian J., et al.
Publicado: (2025)
por: Vaca-Rubio, Cristian J., et al.
Publicado: (2025)
Packet Header Recognition Utilizing an All-Optical Reservoir Based on Reinforcement-Learning-Optimized Double-Ring Resonator
por: Li, Zheng, et al.
Publicado: (2023)
por: Li, Zheng, et al.
Publicado: (2023)
Hybrid Deep Learning Framework for CSI-Based Activity Recognition in Bandwidth-Constrained Wi-Fi Sensing
por: Fernandes, Alison M., et al.
Publicado: (2026)
por: Fernandes, Alison M., et al.
Publicado: (2026)
A Multi-Modal Dataset for Ground Reaction Force Estimation Using Consumer Wearable Sensors
por: Ghaffarzadeh, Parvin, et al.
Publicado: (2026)
por: Ghaffarzadeh, Parvin, et al.
Publicado: (2026)
DEFM: Delay E mbedding based Forecast Machine for Time Series Forecasting by Spatiotemporal Information Transformation
por: Peng, Hao, et al.
Publicado: (2020)
por: Peng, Hao, et al.
Publicado: (2020)
AR-KAN: Autoregressive-Weight-Enhanced Kolmogorov-Arnold Network for Time Series Forecasting
por: Zeng, Chen, et al.
Publicado: (2025)
por: Zeng, Chen, et al.
Publicado: (2025)
A Novel Spatiotemporal Correlation Anomaly Detection Method Based on Time-Frequency-Domain Feature Fusion and a Dynamic Graph Neural Network in Wireless Sensor Network
por: Ye, Miao, et al.
Publicado: (2025)
por: Ye, Miao, et al.
Publicado: (2025)
FreqLens: Interpretable Frequency Attribution for Time Series Forecasting
por: Chen, Chi-Sheng, et al.
Publicado: (2026)
por: Chen, Chi-Sheng, et al.
Publicado: (2026)
Towards Generalizable Learning Models for EEG-Based Identification of Pain Perception
por: Rezzouk, Mathis, et al.
Publicado: (2025)
por: Rezzouk, Mathis, et al.
Publicado: (2025)
Deep Time Warping for Multiple Time Series Alignment
por: Nourbakhsh, Alireza, et al.
Publicado: (2025)
por: Nourbakhsh, Alireza, et al.
Publicado: (2025)
VR Based Emotion Recognition Using Deep Multimodal Fusion With Biosignals Across Multiple Anatomical Domains
por: Indrasiri, Pubudu L., et al.
Publicado: (2024)
por: Indrasiri, Pubudu L., et al.
Publicado: (2024)
Experimental Study on Time Series Analysis of Lower Limb Rehabilitation Exercise Data Driven by Novel Model Architecture and Large Models
por: Lin, Hengyu
Publicado: (2025)
por: Lin, Hengyu
Publicado: (2025)
Robust HRRP Recognition under Interrupted Sampling Repeater Jamming using a Prior Jamming Information-Guided Network
por: Sun, Guozheng, et al.
Publicado: (2025)
por: Sun, Guozheng, et al.
Publicado: (2025)
AI-Based Impedance Encoding-Decoding Method for Online Impedance Network Construction of Wind Farms
por: Zhang, Xiaojuan, et al.
Publicado: (2025)
por: Zhang, Xiaojuan, et al.
Publicado: (2025)
FilterNet: Harnessing Frequency Filters for Time Series Forecasting
por: Yi, Kun, et al.
Publicado: (2024)
por: Yi, Kun, et al.
Publicado: (2024)
UniMTS: Unified Pre-training for Motion Time Series
por: Zhang, Xiyuan, et al.
Publicado: (2024)
por: Zhang, Xiyuan, et al.
Publicado: (2024)
SensorBench: Benchmarking LLMs in Coding-Based Sensor Processing
por: Quan, Pengrui, et al.
Publicado: (2024)
por: Quan, Pengrui, et al.
Publicado: (2024)
E2CAR: An Efficient 2D-CNN Framework for Real-Time EEG Artifact Removal on Edge Devices
por: Liu, Haoliang, et al.
Publicado: (2026)
por: Liu, Haoliang, et al.
Publicado: (2026)
A Time-Series Data Augmentation Model through Diffusion and Transformer Integration
por: Zhang, Yuren, et al.
Publicado: (2025)
por: Zhang, Yuren, et al.
Publicado: (2025)
Ejemplares similares
-
Towards Generalizable Human Activity Recognition: A Survey
por: Cai, Yize, et al.
Publicado: (2025) -
PECL: A Heterogeneous Parallel Multi-Domain Network for Radar-Based Human Activity Recognition
por: Yan, Jiuqi, et al.
Publicado: (2025) -
Real-Time Human Activity Recognition on Edge Microcontrollers: Dynamic Hierarchical Inference with Multi-Spectral Sensor Fusion
por: Li, Boyu, et al.
Publicado: (2026) -
Millimeter Wave Radar-based Human Activity Recognition for Healthcare Monitoring Robot
por: Gu, Zhanzhong, et al.
Publicado: (2024) -
Process Optimization and Deployment for Sensor-Based Human Activity Recognition Based on Deep Learning
por: Liu, Hanyu, et al.
Publicado: (2025)