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

Fast three-dimensional dynamic gesture recognition method and system based on subdivision eigenvalue method

A gesture recognition and three-dimensional dynamic technology, applied in the field of human-computer interaction, can solve problems such as difficult calibration of the system

Active Publication Date: 2019-02-26
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, the user's physical and mental state has different benchmark values ​​in different situations, making it difficult to calibrate the system

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
  • Fast three-dimensional dynamic gesture recognition method and system based on subdivision eigenvalue method
  • Fast three-dimensional dynamic gesture recognition method and system based on subdivision eigenvalue method
  • Fast three-dimensional dynamic gesture recognition method and system based on subdivision eigenvalue method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0039] Gesture recognition hardware platform of the present invention and PC receiver hardware block diagram are as attached figure 1 shown. The gesture recognition hardware platform is exquisite and compact in appearance, without any additional buttons. It can be held in the hand, or worn as a bracelet or finger ring, and can be used as a smart wearable device for gesture control. It integrates a 9-axis sensor module (3-axis accelerometer to measure acceleration, 3-axis gyroscope to measure angular velocity and 3-axis magnetometer to measure magnetic field), MCU microprocessor, Bluetooth module, lithium battery charging circuit, lithium battery and power switch, etc. . The platform is powered by a lithium battery, and the MiniUsb interface is used to charge the battery when the power is too low.

[0040] The gesture recognition hardware pla...

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 fast three-dimensional dynamic gesture recognition method and system based on the subdivision eigenvalue method, aiming at the problems existing in the prior art, the present invention designs a small and exquisite hardware platform, uses the accelerometer to collect the 3-axis acceleration of the user's gesture, and the gyroscope To collect the 3-axis angular velocity of the user's gesture, the magnetometer is used to collect the 3-axis magnetic induction intensity of the user's gesture, use the filtering algorithm to eliminate the data error, and then perform the attitude calculation to obtain the real-time three attitude angles (heading angle, roll angle) , pitch angle), and then pass these information data through the feature analysis algorithm proposed by the present invention, on the basis of ensuring a certain accuracy and real-time performance, respectively move, rotate, tick, draw a cross, shake, knock, etc. Three-dimensional dynamic gestures with a certain degree of discrimination are recognized to realize corresponding applications.

Description

technical field [0001] The invention belongs to the technical field of human-computer interaction, and in particular relates to a dynamic gesture recognition method and system. Background technique [0002] The development of artificial intelligence has prompted its related applications to emerge in an endless stream, and human-computer interaction technology, which is an important content of artificial intelligence, has also received more and more attention. Human-computer interaction research is how humans communicate with machines, so as to control machines and freely realize the functions that people want. In the past, the traditional human-computer interaction methods included buttons, keyboards, touch screens and voice technology. However, the above-mentioned methods have many limitations in terms of efficiency, accuracy, and naturalness, which also makes people start to look for more efficient and more natural ways of interaction. [0003] The existing human-compute...

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): G06F3/01G06K9/00
CPCG06F3/017G06V40/28
Inventor 韩啸张钦宇刘易谢国超赵国钦刘元震
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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