Gesture recognition method, electronic equipment, computer readable storage medium and chip

A technology of gesture recognition and electronic equipment, applied in the field of human-computer interaction, can solve problems such as gesture misdetection, achieve the effects of avoiding misrecognition, improving interactive experience, and improving user experience

Pending Publication Date: 2021-03-12
HUAWEI TECH CO LTD
View PDF6 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The above solution mainly relies on the gesture classification detector to identify gestures and non-gestures. However, when using the gesture classifier to classify gestures, some similar gestures made by the user cannot be well distinguished, resulting in gestures. of false positives

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, electronic equipment, computer readable storage medium and chip
  • Gesture recognition method, electronic equipment, computer readable storage medium and chip
  • Gesture recognition method, electronic equipment, computer readable storage medium and chip

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.

[0064] figure 1 is a schematic diagram of the gesture interaction system of the embodiment of the present application.

[0065] like figure 1 As shown, a typical gesture interaction system includes a sensor, a dynamic gesture recognition unit and a gesture response unit. Wherein, the sensor can specifically be a camera (for example, a color camera, a grayscale camera, and a depth camera, etc.), and the image information including the hand image stream can be obtained through the sensor (specifically, it can be continuous frame image information including the hand image stream); Next, the dynamic gesture recognition unit can process the image information containing the hand image stream, and recognize the hand movements in it as a predefined gesture category; finally, the gesture action system reco...

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 provides a gesture recognition method, electronic equipment, a computer readable storage medium and a chip, and relates to the field of artificial intelligence, in particular to a human-computer interaction technology in the field of computer vision. The gesture recognition method comprises the following steps: acquiring an image stream, and determining whether a user makes a preparatory action or not according to a plurality of continuous frames of hand images in the image stream; under the condition that the user makes the preparation action, continuously obtaining the image stream, determining the gesture action of the user according to the continuous multiple frames of hand images in the continuously acquired image stream, and then responding to the gesture action to achieve gesture interaction with the user. According to the gesture recognition method and device, the judgment of the preparation action is carried out before the gesture recognition, so that the false recognition in the gesture recognition process can be reduced, and the gesture recognition effect is improved.

Description

technical field [0001] The present application relates to the field of human-computer interaction, and more specifically, to a gesture recognition method, electronic equipment, and a computer-readable storage medium. Background technique [0002] Computer vision is an integral part of various intelligent / autonomous systems in various application fields such as manufacturing, inspection, document analysis, medical diagnosis, and military. What we need is the knowledge of the data and information of the subject being photographed. To put it figuratively, it is to install eyes (cameras / video cameras) and brains (algorithms) on computers to replace human eyes to identify, track and measure targets, so that computers can perceive the environment. Because perception can be thought of as extracting information from sensory signals, computer vision can also be thought of as the science of how to make artificial systems "perceive" from images or multidimensional data. In general, c...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08G06V10/82G06V20/20
CPCG06N3/084G06V40/28G06N3/048G06N3/045G06F18/24G06F18/214G06F3/017G06V40/107G06V10/82G06V20/20G06V40/11G06V10/74
Inventor 吴小飞黄飞许松岑颜友亮
Owner HUAWEI TECH CO LTD
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