Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Mental workload assessment method, device, equipment and medium

A technology of mental load and evaluation model, applied in psychological devices, medical science, sensors, etc., can solve problems such as low evaluation accuracy, and achieve the effect of improving evaluation accuracy

Active Publication Date: 2021-11-02
BEIHANG UNIV
View PDF5 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the currently used mental load assessment methods often use a single physiological signal for mental load assessment, and the assessment accuracy is low.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Mental workload assessment method, device, equipment and medium
  • Mental workload assessment method, device, equipment and medium
  • Mental workload assessment method, device, equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] Flying an aircraft in a dynamic and uncertain environment can be extremely challenging. Although the automation equipment of modern aircraft reduces the physical load of pilots, pilots still need to perform multiple tasks, such as controlling flight trajectory, monitoring flight parameters, communicating with air traffic controllers, and identifying potential hazards. The execution of multiple tasks has increased It is difficult to allocate the pilot's attention resources, which leads to the pilot's excessive mental load. High mental workload can lead to decreased visual and auditory attention, working memory, and executive ability, greatly increasing the probability of pilots making wrong decisions during flight missions. Existing studies have shown that flight accidents caused by human error account for 70%-80% of the total flight accidents. Therefore, it is necessary to scientifically evaluate the pilot's mental load.

[0036] Hereinafter, the principle of this emb...

Embodiment 2

[0085] like Image 6 As shown, this embodiment is used to provide a kind of mental load evaluation device, and described evaluation device comprises:

[0086] The obtaining module M1 is used to obtain the EEG signal and ECG signal of the subject;

[0087] The feature extraction module M2 is used to perform feature extraction on the EEG signal to obtain PSD features; perform feature extraction on the ECG signal to obtain HR features and HRV features;

[0088] The output module M3 is used to use the EEG signal, the PSD feature, the HR feature and the HRV feature as model input, and use the evaluation model to obtain the mental load category of the subject; the evaluation model is based on training data The training data set includes multiple sets of EEG signals for training and ECG signals for training corresponding to different types of mental loads.

Embodiment 3

[0090] This embodiment is used to provide a mental load assessment device, including:

[0091] processor; and

[0092] a memory in which computer readable program instructions are stored,

[0093] Wherein, the evaluation method as described in Embodiment 1 is executed when the computer-readable program instructions are executed by the processor.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a mental workload assessment method, device, equipment and medium. The method comprises the steps of firstly obtaining an electroencephalogram signal and an electrocardiosignal of a testee, then carrying out the feature extraction of the electroencephalogram signal to obtain a PSD feature, carrying out the feature extraction of the electrocardiosignal to obtain an HR feature and an HRV feature, and finally taking the electroencephalogram signal, the PSD feature, the HR feature and the HRV feature as model input, acquiring the mental load category of the testee by using the assessment model, so that the mental load category of the testee can be evaluated by integrating the electroencephalogram signal and the electrocardiosignal, and the evaluation precision can be remarkably improved.

Description

technical field [0001] The present invention relates to the technical field of mental load assessment, in particular to a mental load assessment method, device, equipment, and medium based on electroencephalogram signals and electrocardiographic signals. Background technique [0002] Mental workload (MWL) is also known as mental load, mental load or cognitive load. Young et al. believe that mental load is the amount of attention paid to meet objective and subjective performance standards. High mental workload can lead to decreased visual and auditory attention, working memory, and executive ability, greatly increasing the chances of making wrong decisions. Therefore, it is necessary to conduct a scientific assessment of mental load. [0003] Mental load evaluation methods mainly include physiological evaluation method, subjective evaluation method, job performance evaluation method and comprehensive evaluation method. Compared with other evaluation methods, the physiologic...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/16A61B5/318A61B5/369A61B5/372A61B5/346A61B5/18A61B5/00
CPCA61B5/165A61B5/168A61B5/318A61B5/369A61B5/372A61B5/346A61B5/7235A61B5/7267A61B5/18A61B5/7203A61B5/725A61B2503/22
Inventor 刘涛王煜文韩明秀程健牛海军
Owner BEIHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com