Cache optimizing method for multi-touch of embedded equipment

Abstract

The invention relates to a cache optimizing method for multi-touch of embedded equipment. According to the method, cache management is carried out on contact information to ensure that when the contact information is used in a normal scene, memory allocating and memory releasing are not needed to be frequently applied for and the efficiency is increased; meanwhile, the contact information is reported by using a to-be-processed contact queue and a contact object is recovered by using a to-be-recovered contact queue after the contact object is processed by a UI (User Interface) thread to guarantee the orderly processing and recovery of the contact object; and when the processing of the contact information fails to catch up with the reporting of the contact information, the newly-reported contact information is merged with the to-be-processed contact information according to a merging strategy to ensure that the contact queue and a message queue do not explode and the lag of the touch screen effect, which is caused by contact accumulation, is avoided.

Description

technical field [0001] The invention relates to the field of multi-touch technology, in particular to a buffer optimization method for multi-touch embedded devices. Background technique [0002] Multi-touch, that is, multi-touch technology, refers to a technology that allows users to control a graphical interface through multiple fingers at the same time. Common application products such as: smart phones (iPhone, Android), iPad, etc. With the popularity of smart phones, more and more smart devices have joined the army of touch screens. At present, many products are directly equipped with the Android system to meet the needs of multi-touch, and there are also stable UI libraries to achieve multi-touch functions (such as: Qt library). The Android system provides a complete touch screen solution, but the space and memory usage of the Android system are relatively large, which is not suitable for some embedded devices with limited hardware. [0003] In the development of embed...

AI Technical Summary

Problems solved by technology

This situation is relatively common on devices with good performance, but on embedded devices with limited devices, when the contact processing time is longer than the reporting time, the following problems will occur when continuously sliding on the touch screen: 1. A large number of The contact sliding information is accumulated in the message loop, and the memory will continue to increase, causing a large amount of memory to be occupied; 2. In the UI library with a limited message queue size, the message queue will explode, and at least it will cause contact information errors (If other contacts are pressed or lifted during the sliding process, if the pressed or lifted information is lost, it will cause an error in the UI state), and if it is serious, it will cause a message loop error and stop the operation; 3. A large number of contacts are accumulated, Then queue up and execute one by one, the sliding UI performance will appear sluggish, and the experience will be greatly reduced

However, on embedded devices with limited performance, the time fluctuation of business processing is relatively large, which will cause a relatively large error in the calculated sliding speed

If you use this speed to implement gestures or animations, the smoothness of the UI effect will be relatively poor.

If you upload all the reported timestamps (64 bits), the quantity will be large, and the existing message structures in some UI libraries do not support extensions to carry additional data

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