A data processing method and device

Abstract

The invention discloses a data processing method and device. In the method, the problem that data are not accurate enough can be solved by a multi-Leap-Motion method. Synchronous transmission of data of three Leap Motions is realized; then three-dimensional space coordinate transformation of different Leap Motions is carried out; and under the condition that an integrity degree threshold value is greater than 19, chiral skeleton point set ICP algorithm images of three equipment are spliced, and a complete chiral skeleton information point set is obtained.

Description

technical field [0001] The present application relates to the field of electronic technology, and in particular to a data processing method and device. Background technique [0002] Currently, leap motion provides real-time data by binding hands, fingers or tools within the field of view. Most of these data are provided through collections or data. Each frame contains a series of basic binding data, such as hands, fingers or Tool data, of course, it can also recognize gestures and custom data in the scene in real time. [0003] When the device detects a hand, finger, tool or gesture, the device will give it a unique ID number as a mark. As long as the entity does not leave the visible area of ​​the device, the ID number will remain unchanged. If the device loses the entity Then it reappears, and Leap will give it a new ID number, but the software won't know how this relates to the previous entity. Finger motion detection generally uses a single leap motion to judge the spa...

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides a data processing method and device, which are used to solve the problems of observation blind spots and visual blind spots in single leapmotion detection in the prior art, so that it is impossible to accurately construct the spatial information of the finger skeleton

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