[go: up one dir, main page]

Ding et al., 2025 - Google Patents

Assessing human situation awareness reliability considering fatigue and mood using EEG data: A Bayesian neural network-Bayesian network approach

Ding et al., 2025

Document ID
2890643080631136593
Author
Ding S
Hu L
Pan X
Zuo D
Sun L
Publication year
Publication venue
Reliability Engineering & System Safety

External Links

Snippet

Situation awareness (SA) assessment is the process of acquiring and maintaining SA, which serves as a crucial indicator of operator task performance and behavioral safety in human- machine interaction. SA reliability is the evaluation of how well SA is established, and it is …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/04Architectures, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/04Inference methods or devices
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/02Knowledge representation
    • G06N5/022Knowledge engineering, knowledge acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computer systems based on specific mathematical models
    • G06N7/005Probabilistic networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management

Similar Documents

Publication Publication Date Title
CN117850601B (en) System and method for automatically detecting vital signs for handheld PDA
Thara et al. Auto-detection of epileptic seizure events using deep neural network with different feature scaling techniques
Fan et al. Effects of seafarers’ emotion on human performance using bridge simulation
Omid Design of an expert system for sorting pistachio nuts through decision tree and fuzzy logic classifier
CN114343585B (en) Cognitive and behavioral disorder early warning method, device, equipment and storage medium
CN115137374B (en) EEG interpretable analysis method and related equipment for sleep staging
Ding et al. Assessing human situation awareness reliability considering fatigue and mood using EEG data: A Bayesian neural network-Bayesian network approach
Jiang et al. EEG-based analysis for pilots’ at-risk cognitive competency identification using RF-CNN algorithm
Abdubrani et al. A robust framework for driver fatigue detection from EEG signals using enhancement of modified z-score and multiple machine learning architectures
WO2021131446A1 (en) Analysis device, analysis method, and analysis program
Gaidai et al. Human collective emotional excess by novel Gaidai hypersurface risk prognostics methodology
Laumann et al. Challenge to collect empirical data for human reliability analysis—Illustrated by the difficulties in collecting empirical data on the performance-shaping factor complexity
Selvi et al. Identification of fatigue using data analytics and machine learning to improve worker’s health
JP2024533534A (en) Method, program and device for interpreting medical data based on explainable artificial intelligence
CN119249107B (en) Risk assessment management system and method based on nerve recognition technology
Thill Machine Learning and Deep Learning Approaches for Multivariate Time Series Prediction and Anomaly Detection
Mala et al. Adaptive neuro-fuzzy inference system for cognitive load assessment in brain machine interfaces
Donets et al. APPLICATION OF A DATA STRATIFICATION APPROACH IN COMPUTER MEDICAL MONITORING SYSTEMS.
CN118964964B (en) Fuzzy semantic coding method, device, equipment and medium based on electroencephalogram signals
Zaw et al. in the Controlling Complex Technical Objects
Chandrasekaran et al. Pioneering Prognosis and Management in Neuromuscular Healthcare Using EMG Signal Processing with Advanced Deep Learning Techniques.
Cui et al. Fatigue state detection of navigational officer using Gaussian Hidden Markov model
Yin et al. RTFnet: A multi-modal physiological data fusion approach for fatigue detection in remote tower controllers
Zeng Analysis of Operating Status of the Operator in the MCR of NPPs Using Facial Feature Analysis Techniques
Márquez A Supervisory Control and Data Acquisition System Filtering Approach for Alarm Management with Deep Learning