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

Three-dimensional television-oriented gesture manipulation method

A stereoscopic TV and gesture technology, applied in the field of gesture recognition, can solve problems such as contact with the body, and achieve the effects of improving accuracy, improving robustness and real-time performance, and simplifying complexity

Inactive Publication Date: 2014-09-10
NANJING UNIV
View PDF4 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For gesture recognition, early people used auxiliary devices such as special receipt gloves or touch screens, but these devices inevitably had to be in contact with the body, and there were space constraints, so vision-based gesture recognition emerged and developed rapidly

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
  • Three-dimensional television-oriented gesture manipulation method
  • Three-dimensional television-oriented gesture manipulation method
  • Three-dimensional television-oriented gesture manipulation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] figure 1 The algorithm flow chart of the gesture control facing stereoscopic TV is as follows: in the flow process of the present invention, after taking or inputting the image, it is processed, specifically as follows:

[0026] In the gesture control method for stereoscopic televisions, a Kinect is placed on the upper part of the screen of a stereoscopic display and used as an image input device.

[0027] Taking a 22-inch liquid crystal display panel as an example, the relative layout dimensions of the components are as follows: Figure 4 shown. A 22-inch LCD panel is 510 mm long, 286 mm wide, and 2.2 mm thick. Plus the surrounding frame is about 600mm long, 360mm wide and 190mm thick. When the human hand appears within the allowable distance range, gesture collection starts. The collected images of users (including hands) are as follows: image 3 shown.

[0028] Using the method of machine learning, the coordinates obtained by the device are analyzed to identify...

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 three-dimensional television-oriented gesture manipulation method. The method comprises the following steps: acquiring the coordinate of a hand by using a method based on movement information, a movement template, color or depth information or specific detection hardware, and starting identification of gestures if the hand is within the range of a manipulation distance according to detection; correcting error of the hand coordinate through template matching or a filtering algorithm; finishing identification of gesture meaning by adopting a subsequent gesture identification algorithm, wherein gesture identification is performed by adopting a method based on an artificial nerve network (ANN), a hidden Markov model (HMM), a supported vector machine (SVM) or dynamic time warping (DTW); transmitting an identification result for operating a three-dimensional television through a control algorithm.

Description

technical field [0001] The invention relates to a gesture recognition method, in particular to a gesture recognition method applied to stereoscopic television manipulation. Background technique [0002] Human-computer interaction is a research field that studies the interaction between humans and computers. Most of the time, recognizing a gesture is effortless for humans, but for machines, this is an extremely complicated process. This process It involves many fields such as signal processing, machine vision, statistical analysis, behavior, psychology, machine learning and cognitive science. [0003] In recent years, the human-computer interaction technology based on intelligent technology has been greatly developed. The traditional display remote control, keyboard, mouse, touch screen, etc. have become less and less able to meet new needs. There is an urgent need for less space constraints, more comfortable, Natural and easy-to-understand new interactive technologies, new-...

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): H04N21/422G06F3/01
Inventor 王元庆徐柳婧
Owner NANJING UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com