Text input system and method based on head movement and finger micro-gestures

Abstract

The invention discloses a text input system and method based on head movement and finger micro-gestures. The text input system and method are an efficient, accurate and quick input mode suitable for mobile scene input in artificial reality. According to the technical scheme, a head movement tracking module is used for tracking and obtaining head movement information of a user and sending the headmovement information to an information processing module; the gesture detection module is used for detecting a user micro-gesture to obtain micro-gesture input information and sending the micro-gesture input information to the information processing module; wherein the micro gesture comprises clicking and sliding actions of a finger. The information processing module groups the characters to be input in advance, and each group of characters corresponds to one character area; after receiving the head movement information, the information processing module selects a character region according toa preset corresponding relationship between the head movement information and the character region; and after receiving the micro-gesture input information, the information processing module selectsa character as an input result according to a preset corresponding relationship between the micro-gesture input information and the character in the character area. And the display module is used fordisplaying the input result.

Description

technical field [0001] The invention relates to the technical field of input methods, in particular to a text input system and method based on head movement and finger micro-gestures. Background technique [0002] At present, head-mounted displays such as virtual reality mostly use collision detection between air rays and virtual letters for text input, which needs to rely on handle control, hand pointing direction (such as finger pointing input in oculus quest), etc., and the input efficiency is low. In addition, the prediction of hand pointing direction is prone to errors, which affects the input efficiency, and these reasons make it impossible to perform text input efficiently. [0003] The user's head-mounted display can track the three-dimensional position and six degrees of freedom, so it can track the position of the user's head accordingly. At present, head movement data is often used for text and virtual object selection. However, if a small-scale head movement is ...

AI Technical Summary

Problems solved by technology

[0008] This method needs to divide the fingers into multiple areas. Long-term clicking on certain areas with the thumb will cause discomfort, and this method is based on the T9 keyboard input method. Each time you click on a letter, it is ambiguous, and you need to use an algorithm to predict the input word before you can enter it. It will reduce the input efficiency, in addition, it is more difficult to input a single character

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