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

Method for identifying target object based on eye movement scanning

A target object and recognition method technology, applied in the field of target object recognition based on eye movement scanning, can solve problems such as inability to achieve efficient control, eye fatigue, etc., and achieve the effects of reducing eye electrical drift, avoiding limitations, and extending control time.

Inactive Publication Date: 2011-08-17
ZHEJIANG UNIV
View PDF3 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This control method requires the eyes to participate in the control process all the time, which is easy to cause eye fatigue; and every detail in the control process needs to be guided by eye contact, which cannot achieve efficient control

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
  • Method for identifying target object based on eye movement scanning
  • Method for identifying target object based on eye movement scanning
  • Method for identifying target object based on eye movement scanning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The present invention will be described in further detail below in conjunction with accompanying drawings and examples.

[0020] Such as figure 1 As shown, the specific steps of the target object recognition method based on eye movement scanning in the present invention are as follows:

[0021] The user first attaches the electrodes to a specific position around the user's eyes, and starts to collect the electro-oculogram signals of the horizontal and vertical channels generated by the eye movement. The target object is generally placed about 70 cm in front of the user. The user adjusts the sitting posture and starts to scan the target object. First, the user's line of sight is fixed on the lower right corner of the target object. While keeping the head still, blink twice in a row, and then scan the boundary of the target object with both eyes. In this embodiment, a specific method of "scanning the boundary of the target object with both eyes" is: the user moves the ...

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 method for identifying a target object based on eye movement scanning. The method comprises the following steps of: reestablishing the shape of the target object by using an eye electric signal acquired when a user scans the boundary of the target object by two eyes; and then calculating a length and a width of the target object, and an angle between the target object and the horizontal direction according to the reestablished target object. The information of the identified target object can be used for controlling external equipment such as artificial hands, artificial limbs and the like, so that human and machine interaction can be realized. Compared with the conventional human-machine interaction method based on eye electric direct control, the method has the advantages that: an indirect control strategy is realized, and the precise and efficient control which cannot be realized in the prior art is achieved.

Description

technical field [0001] The invention relates to a target object recognition method based on eye movement scanning. Background technique [0002] The human eyeball is a bipolar sphere with the cornea as the positive pole and the retina as the negative pole. When electrodes are placed at appropriate positions around the eye, the resting potential of the retina can be collected, which is called Electro-Oculogram (Electro-Oculogram, referred to as EOG). When the eyeball turns up and down and left and right, the corresponding changes in the electro-oculogram potential can be collected in the vertical and horizontal channels respectively, and when the turning angle is less than 30 degrees, the angle of eyeball turning and the amplitude of the electro-oculogram are monotonously linear Relationship. At the same time, because the electro-oculogram signal is stronger than other physiological signals (such as EEG and ECG), the signal is more intuitive and convenient to collect. Since...

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): G06F3/01
Inventor 张韶岷郝耀耀陈卫东郑筱祥
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