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

Sign language recognition method and system based on sign language gloves

A recognition method and sign language technology, applied in the field of pattern recognition in the field of artificial intelligence, can solve problems such as low recognition speed and low sign language recognition accuracy, and achieve the effects of improving accuracy, improving recognition accuracy, and assisting data collection

Inactive Publication Date: 2016-08-03
CHINA UNIV OF GEOSCIENCES (WUHAN)
View PDF5 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a sign language based on data collection and recognition based on multiple data sources with high recognition accuracy and fast speed in view of the defects of low sign language recognition accuracy and low recognition speed in the prior art Recognition method and sign language recognition gloves

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
  • Sign language recognition method and system based on sign language gloves
  • Sign language recognition method and system based on sign language gloves

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0049] The ten fingertips of the sign language glove of the present invention have different colors, and the ten fingers have different colors; the palm and the back of the hand have different colors, and the wrist parts of the left and right gloves also have different colors. The finger bending part of the glove is equipped with a bending sensor for sensing finger bending data; the wrist part is equipped with a rotation sensor. The glove can be used to digitize standard sign language, that is, to digitize expression units such as characters, words, and sentences in sign language, and save them in ...

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 sign language recognition method and system based on sign language gloves. Ten fingertips and fingers of the sign language gloves are different in color; the palm and the back of the gloves are different in color; the wrist parts of the two gloves are different in color; a bending sensor is arranged at finger bending parts; a rotation sensor is arranged at the wrist parts; a data communication module is arranged on the gloves to transmit data between the gloves and a sign language recognition system. The sign language recognition method comprises the following steps of: preprocessing the finger bending data and the palm rotation angle data by the sign language recognition system; grouping the processed data with all of characteristic values to obtain matching sequences; matching the matching sequences with data stored in a sign language digital standard library; converting the matched results to recognizable output signals; and transmitting the output signals to an output terminal to complete sign language recognition. The sign language recognition method and system provided by the invention can improve the sign language recognition accuracy by using the sensors and image recognition.

Description

technical field [0001] The invention relates to pattern recognition in the field of artificial intelligence, in particular to a sign language recognition method and system based on sign language gloves. Background technique [0002] There are currently two types of gesture recognition, one is a gesture recognition method based on sensor data, and the other is a gesture recognition method based on image recognition. [0003] Gesture recognition based on physical glove sensor data is to directly obtain finger movement feature data from the sensor, and translate it into words or sounds that can be directly recognized by humans through a certain algorithm; gesture recognition method based on image recognition is to use the image input device to input the hand into the In the computer, the method of gesture recognition with the help of image processing technology. [0004] Scientists at home and abroad have done a lot of research on gesture recognition based on image recognition...

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): G06K9/62
Inventor 任伟牟扬
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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