Gesture recognition method and device and Leap Motion system

Abstract

The invention relates to a gesture recognition method and device and a Leap Motion system. The gesture recognition method comprises the methods that S1, multiple gesture operations used for controlling a three-dimensional body are stored to a gesture library; S2, motion data of the hand are collected in real time, and feature extraction is carried out on the collected data; S3, whether the motion of the hand belongs to the translation type operation or not is judged according to extracted feature parameters, the step S5 is started if the motion of the hand belongs to the translation type operation, and the step S4 is started if the motion of the hand does not belong to the translation type operation; S4, the operation type which the motion of the hand belongs to is determined through a preset algorithm; S5, the operation of the corresponding type is searched for in the gesture library according to the operation type, and the target operation is determined in the operation of the corresponding type according to the feature parameters. According to the technical scheme, the three-dimensional model operation gesture library suitable for Leap Motion and the corresponding gesture recognition method can be constructed, accuracy of gesture recognition is improved, and consistency and stability of model conversion in the three-dimensional operation are guaranteed.

Description

technical field [0001] The present invention relates to the technical field of gesture recognition, in particular to a gesture recognition method, a gesture recognition device and a Leap Motion somatosensory control system. Background technique [0002] The operation of three-dimensional objects generally includes the control of six degrees of freedom (6DOF) of the three-dimensional model: three translations along the x, y, and z axes and three rotations around the x, y, and z axes respectively. It is a three-dimensional design And the basic functions of creative applications, such as CAD, Maya, and Pottery, a mobile application that simulates making pottery, are also indispensable experience elements in many games. For a long time before, people used the mouse and keyboard to operate these transformations, but the existence of input tools has affected people's creativity, and it is easy for people to focus on the use of tools and the adjustment of values. Not the creation ...

AI Technical Summary

Problems solved by technology

The previous free gesture research can be roughly divided into two types, one is based on vision, and the other is based on data gloves. The former is easily affected by light, skin color, and interfering objects, and it is difficult to reconstruct the detailed movements of the hand in real time. The latter is difficult for equipment. higher requirements

In the past two years, some people have also used Kinect somatosensory technology for dynamic gesture recognition, but Kinect mainly tracks the whole body movements in the medium and long distance (0.5m-4m), and there is not enough detailed information for hand movements

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