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

A Mobility Decision Modeling Method Based on Multimodal Physiological Information

A physiological information and modeling method technology, which is applied in the field of motor decision modeling based on multimodal physiological information, can solve the problems of low fidelity, large workload, and excessive rationality, achieve high fidelity, reduce workload, Real and reliable data

Active Publication Date: 2021-06-15
BEIHANG UNIV
View PDF7 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of this, the present invention provides a maneuver decision-making modeling method based on multi-modal physiological information, which is used to solve the problems of heavy workload, excessive rationality, and low fidelity existing in the existing maneuver decision-making modeling methods

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
  • A Mobility Decision Modeling Method Based on Multimodal Physiological Information
  • A Mobility Decision Modeling Method Based on Multimodal Physiological Information
  • A Mobility Decision Modeling Method Based on Multimodal Physiological Information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only examples and not intended to limit the present application.

[0057] A method for modeling maneuver decision-making based on multi-modal physiological information provided by an embodiment of the present invention, its flow diagram and flow chart are respectively as follows figure 1 with figure 2 shown, including the following steps:

[0058] S1: Build a real-life immersive combat simulation scene;

[0059] S2: Experimental design for the collection of multimodal physiological information; among them, multimodal physiological information includes EEG signals, eye movement signals and ECG signals;

[0060] S3: collecting multimodal physiological information;

[0061] S4: Preprocessing the collected EEG signals;

[...

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 discloses a maneuver decision-making modeling method based on multi-modal physiological information, which directly extracts multi-modal physiological information from the process of people performing maneuvers, and constructs the model without relying on the experience summary of field experts. Knowledge discovery that does not rely on computers not only reduces the workload and saves labor costs, but also changes the modeling method from purely rational to perceptual, making the established model more realistic and closer to human behavior decision-making process; and, using multi-modal physiological information for maneuver decision-making modeling can also solve the one-sided problem of using a single physiological signal for maneuver decision-making modeling; in addition, an important advantage of using multi-modal physiological information is that its characteristics Objectivity. Compared with the traditional modeling method that relies on domain expert experience summaries, the collected data is more authentic and reliable, and can more objectively reflect the real maneuvering decision-making process of people.

Description

technical field [0001] The invention relates to the technical fields of life-organ interaction, mathematical modeling, and human factors engineering integration, and in particular to a maneuver decision-making modeling method based on multimodal physiological information. Background technique [0002] The research content of human behavior modeling includes the perception of the environment, decision-making, planning, memory and learning. Due to the variety of forms and the high complexity of the surrounding environment, there are many modeling objects involved, such as behavior maneuvers, maneuver decision modeling, and so on. [0003] In recent years, there are mainly two methods of modeling human behavior: one is traditionally, people discover knowledge in data through artificial summary or analysis of data; the other is based on knowledge discovery technology, through computer self-learning to mechanize Capture knowledge from data. [0004] The traditional method of re...

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 Patents(China)
IPC IPC(8): A61B3/113A61B5/318A61B5/369G06K9/00A61B3/11
CPCA61B3/113A61B3/112A61B5/318A61B5/369G06F2218/04G06F2218/08G06F2218/12
Inventor 龚光红王夏爽李妮
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