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

Computer-assisted sketch drawing method and system based on eye movement and brush stroke data

A computer-aided and data-based technology, applied in the input/output of user/computer interaction, computer components, calculations, etc., to improve design quality and optimize stimulation effects

Active Publication Date: 2013-09-25
ZHEJIANG UNIV
View PDF4 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The above research mainly focuses on analyzing the user's attention area by analyzing the eye movement position, and interacting with the user according to the hidden information of the user's attention area. The latter invention further proposes to increase the validity judgment of the gaze position to filter out the user's unnecessary Command eye movement information, none of these studies involved judging the user's state of mind by obtaining eye movement information and predicting the user's next gaze point through the eye movement trajectory map

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
  • Computer-assisted sketch drawing method and system based on eye movement and brush stroke data
  • Computer-assisted sketch drawing method and system based on eye movement and brush stroke data
  • Computer-assisted sketch drawing method and system based on eye movement and brush stroke data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] A method and system for computer-aided sketching based on eye movement and stroke data of the present invention will be described in detail below with reference to the accompanying drawings.

[0049] Such as figure 1 As shown, a method of computer-aided sketching based on eye movement and stroke data, including the following steps:

[0050] (1) Feature extraction is performed on the designer's eye movement data and brushstroke data respectively to obtain eye movement feature parameters and brushstroke feature parameters; the eye movement data and brushstroke data are collected during the sketch drawing process using a computer.

[0051] The collection of eye movement data is realized through the eye tracker, and the infrared camera in the eye tracker is used to collect the eye movement data of the designer; the collection of stroke data is carried out through the digital board of the drawing tool, and the collection of eye movement data and stroke data is carried out si...

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 computer-assisted sketch drawing method and system based on eye movement and brush stroke data. The method includes the following steps that feature extraction is conducted on eye movement data and brush stroke data of a designer, and eye movement feature parameters and brush stroke feature parameters are obtained; the eye movement data and the brush stroke data are collected and obtained in a sketch drawing process by using a computer; whether the current state of the designer is a creative thinking state is judged according to the eye movement feature parameters and the brush stroke feature parameters; when the designer is in the creative thinking state, the next staring point position of the designer is judged according to the eye movement data, and an image stimulus source is shown at the position and assists the designer to conduct sketch drawing. According the eye movement and brush stroke information of the designer, the creative thinking state of the designer is identified and stimulated. By predicting staring point position changes of the designer, the image stimulus source position is optimized, and designing quality of the designer is improved.

Description

technical field [0001] The invention relates to the field of computer-aided design, in particular to a method and system for computer-aided sketching based on eye movement and stroke data. Background technique [0002] Computer-aided sketch design combines the advantages of computer-aided design (CAD) with paper sketches, and uses computers to provide better support for sketch design, thereby improving the efficiency of sketch design and even stimulating the creativity of designers. [0003] Studies have shown that during the design process, pictures, videos and other content will stimulate the designer. In the existing computer-aided system, it is mainly to set a fixed interval to provide stimulation. This method will interfere with the design thinking and affect the designer. Getting inspired has a negative impact. [0004] Designers can be divided into two states in the process of sketching, one is the state of creative expression, and the other is the state of creative ...

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
IPC IPC(8): G06F3/01G06F17/50
Inventor 孙凌云杨智渊向为冯凯旋楼赟
Owner ZHEJIANG 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