Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Gesture recognition method

A gesture recognition and gesture technology, applied in the field of gesture recognition, can solve the problem of low accuracy of gesture recognition, achieve the effect of reducing misjudgment, high recognition accuracy and speed

Pending Publication Date: 2021-03-16
KONKA GROUP +3
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to provide a gesture recognition method, an intelligent terminal and a computer-readable storage medium, aiming to solve the problem of low accuracy of gesture recognition in the prior art

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
  • Gesture recognition method
  • Gesture recognition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] In order to make the object, technical solution and advantages of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0058] The gesture recognition method described in the preferred embodiment of the present invention can be executed by a smart terminal, and the smart terminal includes a smart TV, a smart phone and other terminals equipped with a camera. In this embodiment, a smart TV is taken as an example to describe the gesture recognition process. Such as figure 1 Said, said gesture recognition method comprises the following steps:

[0059] Step S100, acquire the tth frame image in the video file, where t is a positive integer.

[0060] Specifically, when the user uses the smart TV, the gesture ...

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 discloses a gesture recognition method. The method comprises the steps: acquiring a tth frame image in a video file; inputting the tth frame of image into a trained gesture recognition model, and controlling the gesture recognition model to perform gesture recognition on the tth frame of image to obtain an image gesture corresponding to the tth frame of image; when the image gestureis a static gesture type, taking the image gesture as a target gesture; when the image gesture is a dynamic gesture type, iteratively acquiring a frame image in the video file, and determining a target gesture corresponding to the video file according to the image gesture corresponding to the frame image; and determining a gesture instruction corresponding to the video file according to the targetgesture. By optimizing the gesture model and combining dynamic gesture type recognition and static gesture type recognition, the gesture recognition accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of biometric identification, in particular to a gesture identification method. Background technique [0002] With the rapid development of computer vision technology, human-computer interaction has become more and more widely used in various fields. Gestures are an interactive technique for communicating with computers intuitively, naturally, and quickly. Therefore, gesture recognition technology is also one of the key directions of research in human-computer interaction technology. At present, gesture recognition technology has been widely used in various smart terminals. Controlling the terminal through gestures to complete corresponding functional operations can realize natural and flexible operations on smart terminals, and enhance the simplicity of operation and user experience. However, there are still certain bottlenecks in gesture recognition technology. How to quickly and accurately recognize gest...

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): G06K9/00G06K9/62G06N3/08
CPCG06N3/084G06V40/113G06V40/28G06F18/241
Inventor 钟浩伍广彬言宏亮曹晟于波张华杨波梁兴伟杨卫国
Owner KONKA GROUP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products