Gesture recognition method and device and Leap Motion system

A gesture recognition and gesture library technology, applied in the field of gesture recognition, can solve the problems of high equipment requirements, difficulty in real-time reconstruction of detailed hand movements, insufficient detailed information, etc., to improve accuracy and ensure continuity and stability.

Active Publication Date: 2014-08-27
TSINGHUA UNIV
View PDF4 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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 di

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Gesture recognition method and device and Leap Motion system
  • Gesture recognition method and device and Leap Motion system
  • Gesture recognition method and device and Leap Motion system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0026] figure 1 A flow chart of a gesture recognition method according to an embodiment of the present invention is shown.

[0027] Such as figure 1 As shown, the gesture recognition method according to one embodiment of the present invention includes:

[0028] S1: storing multiple gesture operations for controlling a three-dimensional object in a gesture library;

[0029] S2: Collect hand movement data in real time, and perform feature extraction on the collected data;

[0030] S3: According to the extracted feature parameters, it is judged whether the movement of the hand belongs to the translation type operation, if it belongs to the translation type operation, go to step S5, if it does not belong to the translation type operation, go to step S4;

[0031] S4: Determine the operation type of the hand movement through a preset algorithm;

[0032] S...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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 ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F3/01
Inventor 徐昆潘佳佳
Owner TSINGHUA UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products