Unlock instant, AI-driven research and patent intelligence for your innovation.

Gesture recognition method, device, equipment and storage medium

A gesture recognition and gesture technology, which is applied in the direction of instruments, mechanical mode conversion, calculation, etc., can solve the problems of unrecognizable gesture actions and low recognition accuracy, and achieve the effects of easy expansion, strong algorithm scalability, and low occupancy of computing resources

Active Publication Date: 2021-02-23
INST OF ELECTRONICS CHINESE ACAD OF SCI
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method has relatively high requirements for the user's gestures. If the user's gestures are different from the standard actions, it is easy to fail to recognize the user's gestures, so the recognition accuracy is not high.

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, device, equipment and storage medium
  • Gesture recognition method, device, equipment and storage medium
  • Gesture recognition method, device, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. It should be understood, however, that these descriptions are exemplary only, and are not intended to limit the scope of the present disclosure. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concepts of the present disclosure.

[0037] The terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the present disclosure. The words "a", "an" and "the" used herein shall also include the meanings of "plurality" and "multiple", unless the context clearly indicates otherwise. The terms "comprising", "comprising", etc. used herein indicate the presence of stated features, steps, operations and / or components, but do not exclude the presence or addition of one or more other features, steps, operations or components.

[003...

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

A gesture recognition method applied in the technical field of wearable devices, including: S1, initializing the attitude quaternion of the inertial sensor, the three-axis acceleration vector of the inertial sensor in the geographic coordinate system, and the three-axis acceleration vector of the inertial sensor in the body coordinate system. Axis gyroscope vector and gesture feature code, S2, obtain the three-axis acceleration vector and three-axis gyroscope vector, S3, based on the three-axis acceleration vector and three-axis gyroscope vector, determine whether the state of the inertial sensor is a non-stationary state, S4, Calculate and record the motion vector angle based on the three-axis acceleration vector, S5, determine the gesture identification code based on the motion vector angle, S6, update the gesture feature code based on the gesture identification code, S7, search in the preset gesture feature code library Gesture signature to identify user gestures. The present disclosure also provides a gesture recognition device, device and storage medium. The present disclosure effectively solves the problem of low recognition accuracy caused by high requirements on gesture actions in the prior art.

Description

technical field [0001] The present disclosure relates to the technical field of wearable devices, and in particular to a gesture recognition method, device and storage medium. Background technique [0002] Smart wearable devices are currently one of the hot topics in the field of consumer electronics. Using inertial sensors on wearable devices, such as accelerometers, gyroscopes, etc., the wearer's gestures can be detected and recognized. Compared with the gesture recognition method based on vision, the gesture recognition method based on inertial sensor has the advantages of not being affected by ambient light, fast recognition speed, and low cost. [0003] At present, the gesture recognition method based on the inertial sensor will establish a gesture action library, which contains a large number of gesture action features, and gestures are recognized by comparing the action features sensed by the inertial sensor with the gesture action features in the gesture action libr...

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 Patents(China)
IPC IPC(8): G06F3/01G06F3/0346
CPCG06F3/014G06F3/017G06F3/0346
Inventor 蔡浩原李文宽赵晟霖杨磊刘春秀
Owner INST OF ELECTRONICS CHINESE ACAD OF SCI