A fabric tactile sensation quantitative evaluation and recognition system based on a multi-mode brain-computer interface

A brain-computer interface and quantitative evaluation technology, applied in character and pattern recognition, input/output of user/computer interaction, mechanical mode conversion, etc., can solve the problems of rigor, stability and universality of evaluation results, and achieve The effect of reducing the number and increasing the accuracy

Pending Publication Date: 2019-05-17
CHINA UNIV OF MINING & TECH
View PDF1 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Traditional fabric tactile texture characterization methods mainly describe the subjective feeling of people in contact with fabrics through qualitative language. This evaluation method is greatly affected by individual cognitive differences, and the rigor, stability and universality of the evaluation results are weak.

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 fabric tactile sensation quantitative evaluation and recognition system based on a multi-mode brain-computer interface
  • A fabric tactile sensation quantitative evaluation and recognition system based on a multi-mode brain-computer interface
  • A fabric tactile sensation quantitative evaluation and recognition system based on a multi-mode brain-computer interface

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The specific embodiments of the present invention will be briefly described below in conjunction with the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other implementations obtained by those skilled in the art without creative work Examples, all belong to the protection scope of the present invention.

[0030] Figure 1-Figure 4 The preferred embodiment of the present invention is shown, and it is analyzed in detail from different angles.

[0031] Such as Figure 1-4 A fabric tactile texture quantitative evaluation and recognition system based on a multi-modal brain-computer interface is shown, including an EEG collection cap, a near-infrared brain function imager, a sample stage 4, a processing module, and a display module.

[0032] The EEG collection cap is used for the collection of EEG signals. Specifically, the EEG c...

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 fabric tactile sensation quantitative evaluation and recognition system based on a multi-mode brain-computer interface, and relates to the technical field of fabric evaluation. The system comprises an electroencephalogram collecting cap, a near-infrared brain function imager, a sample table, a processing module and a display module. The invention discloses a fabric tactile sensation quantitative evaluation and recognition system based on the multi-mode brain-computer interface, by which the touch sensation texture electroencephalogram signals and the blood oxygen concentration when a human body touches the fabric can be acquired in real time; the processing module is used for analyzing and extracting characteristic parameters and obtaining the brain activation degree, the characteristic parameters and the brain activation degree are combined, the quantitative evaluation of touch sensation such as fabric comfort and smoothness is achieved, and the recognition of the fabric is completed by comparing and classifying the touch sensation with electroencephalogram characteristic parameters of different fabrics. The evaluation and recognition system can reflect the real tactile sensation reflection of the brain of the human body, objectively achieves the quantitative evaluation of the tactile sensation of the fabric by people, improves the accuracy and objectivity of evaluation, and reduces the number of processing channels.

Description

technical field [0001] The invention relates to the technical field of fabric recognition and evaluation, in particular to a quantitative evaluation and recognition system for fabric tactile texture based on a multimodal brain-computer interface. Background technique [0002] People usually perceive the texture of fabrics through touch, and the tactile texture of fabrics determines consumers' recognition and satisfaction with products, and is a key factor in the design, production and sales of textiles. [0003] Traditional fabric tactile texture characterization methods mainly describe the subjective feeling of people in contact with fabrics through qualitative language. This evaluation method is greatly affected by individual cognitive differences, and the rigor, stability, and universality of the evaluation results are weak. [0004] Therefore, in view of the above problems, it is necessary to propose a quantitative evaluation and recognition system for fabric tactile tex...

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): G06Q10/06G06K9/00G06F3/01
Inventor 唐玮余闯刘瑞鲁湘涌宋少泽杨雷王宇航刘送永朱华
Owner CHINA UNIV OF MINING & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products