Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Touch point classification method and device based on equipment screen

A classification method and touch point technology, applied in image analysis, character and pattern recognition, image data processing, etc., can solve the problems of large light spot, difficult to distinguish noise, and difficult to determine all conditions.

Inactive Publication Date: 2017-05-31
朱兰英
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

What's more serious is that the near-large and far-small problems caused by the camera are larger in the photo if the light spot is closer to the camera; the laser surface shot by the laser has the problem that the light spot closer to the laser appears larger
Under the influence of these two factors, the following situation becomes urgent to be solved: it is difficult to determine a set of fixed thresholds applicable to all situations; After the light spot includes a sufficiently tight threshold, some noises that are far away from the camera and have a weak light-gathering surface but a large area will become difficult to distinguish

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
  • Touch point classification method and device based on equipment screen
  • Touch point classification method and device based on equipment screen

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] In order to make the object, technical solution and advantages of the present invention clearer, the method and device for classifying touch points based on the device screen of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0019] Such as figure 1 As shown, it is a flowchart of steps of a method for classifying touch points based on a device screen in an embodiment. Specifically include the following steps:

[0020] Step 101, perform a calibration operation on the device, wherein the device is a touch-sensitive device.

[0021] Step 102, based on the calibrated device, collect data within a preset period and perform a calibration operation of the screen position in the image according to the collected data, wherein the screen is a compo...

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 touch point classification method and device based on an equipment screen; the method comprises the following steps: calibrating equipment; collecting data in a preset period according to calibration, and calibrating the screen position in an image according to the collected data; determining the collected data to cover the equipment screen in a preset threshold, stopping data acquisition, and defining the collected data as training data; carrying out protocol and cleaning operations for the training data, thus forming a training sample; selecting a single class classifier, defining input, output and kernel functions, assigning and training kernel function parameters, and forming a classifier; using the formed classifier to classify touch points obtained by the equipment through the screen, thus obtaining a classification result; using the classification result to determine the touch points. A conventional method cannot accurately determine the touch points; the touch point classification method can solve said problems, can effectively identify noisy points or effective touch points in the touch points, thus providing high accuracy, flexibility and usability.

Description

technical field [0001] The present invention relates to the technical field of touch device detection, in particular to a method and device for classifying touch points based on device screens. Background technique [0002] As we all know, in touchable interactive large-screen systems, the recognition of touch points is the core issue. The most commonly used method is to set a fixed area and perimeter threshold. The light spots in all positions in the photos taken by the camera are judged by this threshold. Those within the range are valid touch points, otherwise they are invalid. [0003] But in actual use, this method will include a lot of noise, such as strip noise and so on. What's more serious is the problem of near-large and far-small problems caused by the camera. The light spots closer to the camera appear larger in the photos; the laser surface shot by the laser has the problem that the light spots closer to the laser appear larger. Under the influence of these tw...

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): G06K9/62G06T7/00
CPCG06F18/285G06F18/2433G06F18/214
Inventor 朱兰英
Owner 朱兰英
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
Eureka Blog
Learn More
PatSnap group products