Smoothing processing algorithm applied to locus touching

A technology of smooth processing and touch trajectory, applied in electrical digital data processing, input/output process of data processing, calculation, etc., and can solve problems such as corners and burrs

Inactive Publication Date: 2017-05-10
SHANGHAI PANCHIP MICROELECTRONICS CO LTD
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of the above-mentioned defects of the prior art, the technical problem to be solved by the present invention is that due to the external environment, data jitter, noise and other factors, the touch track formed by the connection of discrete touch points has problems of corners and burrs

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
  • Smoothing processing algorithm applied to locus touching
  • Smoothing processing algorithm applied to locus touching
  • Smoothing processing algorithm applied to locus touching

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] Exponential smoothing method is a method with excellent performance and strong adaptability, which has been widely used in various fields. Its role is mainly reflected in two aspects: one is used for forecasting, and the other is used for smoothing historical data to determine the long-term trend of time series. Exponential smoothing method has remarkable characteristics, it effectively utilizes all historical data and is easy to operate.

[0039] An exponential smoothing method uses the forecast value F of the previous period t , instead of X t-n Get the predicted general formula, namely:

[0040] f t+1 =αx t +(1-α)F t

[0041] The existing touch trajectory smoothing method needs to continuously identify and store the position coordinates of n frames of touch points, which requires a large data storage space. It can be seen from the general formula of one-time exponential smoothing method: one-time exponential smoothing method is a weighted forecast, and the wei...

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 smoothing processing algorithm applied to locus touching, and relates to the touch control technology in the field of man-machine interaction. Exponential smoothing has obvious characteristics, effectively utilizes all historical data, and is simple in operation and easy to apply. Single exponential smoothing is a weighted prediction, neither all historical data or a group of data are needed to be stored, and accordingly the data storing problem can be solved to a great extent. To obtain better smoothness, second exponential smoothing is adopted in the method, a smoothing value is calculated twice on collected data, and a prediction model and a prediction method for a locus touching phenomenon are established on this basis. The second exponential smoothing firstly solves the problem that the single exponential smoothing cannot be applied to the prediction for data with an obvious trend change, and secondly overcomes the shortcoming that the single exponential smoothing can only predict a period of data. However, the second exponential smoothing cannot be applied to predict alone, and it is necessary that the second exponential smoothing is cooperated with the single exponential smoothing to establish a mathematical model of the prediction.

Description

technical field [0001] The invention relates to touch technology in the field of human-computer interaction, in particular to a smoothing algorithm applied to touch tracks. Background technique [0002] With the rapid development of touch control technology, human-computer interaction devices such as touch screens and touch panels are widely used in various occasions. People have higher and higher requirements for touch, which is a human-computer interaction device, and expect it to be able to quickly and accurately identify various touch operations, and at the same time respond accordingly. As the most commonly used touch operation, touch sliding can accurately detect it and respond quickly, which is a must-have function for every touch device. Therefore, it is particularly important to be able to correctly capture, track and display the trajectory of the touch object on the touch device in real time. [0003] Generally, the processing system of the touch device recognize...

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): G06F3/041
CPCG06F3/0418
Inventor 李泽民杨亚明石含映钟峰
Owner SHANGHAI PANCHIP MICROELECTRONICS CO LTD
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