Research And Implementation Of Adaptive Pressure-sensing Long Text Selection Method In IOS System

In order to meet the needs of modern users for the convenience and rapidity of information extraction,more and more information release conferences are oriented to mobile devices.The user interface devices based on the touch screen meet the needs of users in many aspects.Most importantly,the entire visible surface of a mobile device can be used to display on web browsing and reading now and it is simple to operate.In general,users who read text using mobile can be much more easily than using computers.But on the mobile side,other functions are affected,one of which is text selection.On a touchscreen,text is reduced in size and the insertion cursor position can only be changed by finger touch,which makes it difficult to locate the insertion cursor precisely.This is especially true when selecting large text because it is easy to feel tired when the finger is constantly pointing at the screen.Therefore,pressure adaptive technology and gestures combined with pressure and cursor,I proposed a method suitable for large text selection.Firstly,this paper proposes a long text selection method based on 3d-touch and gesture selection for different users.The screen is divided into three areas due to the difference in finger pressure between different users.During the initialization process,users are required to perform light press and heavy press operations on the three areas,and then perform pressure initialization according to the pressing data.From reading mode to text selection mode by double-clicking anywhere in the text(the background darkens);Click to select a word,press to enter the long text selection,the end of the cursor highlighted,more eye-catching;3d-touch divides the pressure into light pressing,light pressing and heavy pressing.Different pressure has different selection speed.During the long text selection press,if the press finger is horizontal to the left or to the right,it can undo the selection and re-enter the reading mode.When the finger is released,the end cursor will flicker and the cursor will be moved for more fine tuning.Release the finger again and the menu appears,followed by action on the selected text.Secondly,this paper proposes the pressure sensing adaptive method based on LMS algorithm and the pressure sensing adaptive method based on the least square method.LMS algorithm and least squares algorithm are both learning algorithms based on error correction rules.The adaptive process of learning algorithm is a processof approaching the target.Through adaptive learning,the critical pressure value can be closer to the real critical pressure value of daily operation of users,so that specific users can get better operation experience.Finally,The data experiment in this paper is divided into three parts.The first experiment is to give a text selection task,and the volunteers select and record the selection time,and objectively test which text selection method is more efficient.The second experiment was a questionnaire survey.The text selection system designed in this paper was compared with the text selection system default in the mobile phone.The third experiment compared the advantages and disadvantages of the two pressure adaptive algorithms through data experiments.