Cargando…

A Self-Adaptive Dynamic Recognition Model for Fatigue Driving Based on Multi-Source Information and Two Levels of Fusion

To improve the effectiveness and robustness of fatigue driving recognition, a self-adaptive dynamic recognition model is proposed that incorporates information from multiple sources and involves two sequential levels of fusion, constructed at the feature level and the decision level. Compared with e...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sun, Wei, Zhang, Xiaorui, Peeta, Srinivas, He, Xiaozheng, Li, Yongfu, Zhu, Senlai
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2015
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610556/ https://www.ncbi.nlm.nih.gov/pubmed/26393615 http://dx.doi.org/10.3390/s150924191

Ejemplares similares

Research on the Application of Multi-Source Information Fusion in Multiple Gait Pattern Transition Recognition
por: Guo, Chaoyue, et al.
Publicado: (2022)

EEG and ECG-Based Multi-Sensor Fusion Computing for Real-Time Fatigue Driving Recognition Based on Feedback Mechanism
por: Wang, Ling, et al.
Publicado: (2023)

Multi-Source Co-adaptation for EEG-Based Emotion Recognition by Mining Correlation Information
por: Tao, Jianwen, et al.
Publicado: (2021)

Multi-Source and Multi-Representation Adaptation for Cross-Domain Electroencephalography Emotion Recognition
por: Cao, Jiangsheng, et al.
Publicado: (2022)

Real-Time Driving Behavior Identification Based on Multi-Source Data Fusion
por: Ma, Yongfeng, et al.
Publicado: (2021)

Editorial: Advances in multi-source information fusion for epidemic diseases
por: Zhang, Yin, et al.
Publicado: (2021)

Measuring Uncertainty in the Negation Evidence for Multi-Source Information Fusion
por: Tang, Yongchuan, et al.
Publicado: (2022)

A Bayesian Method for Dynamic Origin–Destination Demand Estimation Synthesizing Multiple Sources of Data
por: Yu, Hang, et al.
Publicado: (2021)

Robust Latent Multi-Source Adaptation for Encephalogram-Based Emotion Recognition
por: Tao, Jianwen, et al.
Publicado: (2022)

Adaptive visual–tactile fusion recognition for robotic operation of multi-material system
por: Ding, Zihao, et al.
Publicado: (2023)

Pest recognition based on multi-image feature localization and adaptive filtering fusion
por: Chen, Yanan, et al.
Publicado: (2023)

An Recognition–Verification Mechanism for Real-Time Chinese Sign Language Recognition Based on Multi-Information Fusion
por: Wang, Fei, et al.
Publicado: (2019)

Research on Coal Gangue Recognition Based on Multi-source Time–Frequency Domain Feature Fusion
por: Zhang, Yao, et al.
Publicado: (2023)

Modeling the COVID-19 Outbreak in China through Multi-source Information Fusion
por: Wu, Lin, et al.
Publicado: (2020)

Intelligent Recognition of Chirp Radar Deceptive Jamming Based on Multi-Pulse Information Fusion
por: Lan, Xuegang, et al.
Publicado: (2021)

Human Motion Pattern Recognition and Feature Extraction: An Approach Using Multi-Information Fusion
por: Li, Xin, et al.
Publicado: (2022)

Impacts of Pokémon GO on route and mode choice decisions: exploring the potential for integrating augmented reality, gamification, and social components in mobile apps to influence travel decisions
por: Guo, Yuntao, et al.
Publicado: (2021)

Multi-Modality Adaptive Feature Fusion Graph Convolutional Network for Skeleton-Based Action Recognition
por: Zhang, Haiping, et al.
Publicado: (2023)

Human Body Mixed Motion Pattern Recognition Method Based on Multi-Source Feature Parameter Fusion
por: Song, Jiyuan, et al.
Publicado: (2020)

An Acquisition Method of Agricultural Equipment Roll Angle Based on Multi-Source Information Fusion
por: Li, Yang, et al.
Publicado: (2020)

Credibility Assessment Method of Sensor Data Based on Multi-Source Heterogeneous Information Fusion
por: Feng, Yanling, et al.
Publicado: (2021)

A graph-based approach to multi-source heterogeneous information fusion in stock market
por: Wang, Jun, et al.
Publicado: (2022)

Spatial Multi-Source Information Fusion Localization Algorithm in Non-Line-of-Sight Environments
por: Wang, Jianhui, et al.
Publicado: (2023)

Application of the Recognition Algorithm of News Sentiment Dissemination Tendency Based on Multi-Mode Information Fusion
por: Chiba, Makiko
Publicado: (2022)

Multi-modal self-adaptation during object recognition in an artificial cognitive system
por: Miralles, David, et al.
Publicado: (2022)

Label-Based Alignment Multi-Source Domain Adaptation for Cross-Subject EEG Fatigue Mental State Evaluation
por: Zhao, Yue, et al.
Publicado: (2021)

Directed Brain Network Analysis for Fatigue Driving Based on EEG Source Signals
por: Qin, Yingmei, et al.
Publicado: (2022)

A Weld Position Recognition Method Based on Directional and Structured Light Information Fusion in Multi-Layer/Multi-Pass Welding
por: Zeng, Jinle, et al.
Publicado: (2018)

Multi-Sensor Fusion for Activity Recognition—A Survey
por: Aguileta, Antonio A., et al.
Publicado: (2019)

Compositional action recognition with multi-view feature fusion
por: Zhao, Zhicheng, et al.
Publicado: (2022)

Recognition of multi-modal fusion images with irregular interference
por: Wang, Yawei, et al.
Publicado: (2022)

EEG Emotion Recognition by Fusion of Multi-Scale Features
por: Du, Xiuli, et al.
Publicado: (2023)

Multi-source joint domain adaptation for cross-subject and cross-session emotion recognition from electroencephalography
por: Liang, Shengjin, et al.
Publicado: (2022)

A Novel Fatigue Driving State Recognition and Warning Method Based on EEG and EOG Signals
por: Liu, Li, et al.
Publicado: (2021)

Adaptive dewarping of severely warped camera-captured document images based on document map generation
por: Nachappa, C. H., et al.
Publicado: (2023)

Palmprint recognition based on gating mechanism and adaptive feature fusion
por: Zhang, Kaibi, et al.
Publicado: (2023)

Automatic Detection of Driver Fatigue Using Driving Operation Information for Transportation Safety
por: Li, Zuojin, et al.
Publicado: (2017)

Study on the Recognition of Exercise Intensity and Fatigue on Runners Based on Subjective and Objective Information
por: Chai, Guozhong, et al.
Publicado: (2019)

Multi-EPL: Accurate multi-source domain adaptation
por: Lee, Seongmin, et al.
Publicado: (2021)

Text Recognition Model Based on Multi-Scale Fusion CRNN
por: Zou, Le, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_jman2jlifano8f5qjnljtsdtu5