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

An Indoor Positioning and Navigation Method Combined with Speech Recognition

A voice recognition and indoor positioning technology, applied in navigation, surveying and mapping and navigation, navigation calculation tools, etc., can solve problems such as abnormal positioning effect and positioning, and achieve the effect of increasing the degree of intelligence and reducing costs

Active Publication Date: 2022-03-29
杭州十域科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the technical problem that the positioning effect of the existing indoor positioning technology on the market may be abnormal and if the offline data of the positioning is not updated in time, the technical problem of positioning abnormality will occur, and provides a method that can correct the basic positioning and can correct the offline data. Indoor positioning and navigation method combined with speech recognition and marking

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
  • An Indoor Positioning and Navigation Method Combined with Speech Recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings.

[0039] Such as figure 1 As shown, the method flow of the present invention is as follows: (1) Extract the position signal from the sound signal; (2) Judge the validity of the position signal; (3) Use the position signal to correct and mark the basic positioning result; ( 4) Use the deep learning algorithm to train the offline data of the basic positioning, and apply it to the basic positioning in the later stage.

[0040] It specifically includes: an indoor positioning and navigation method combined with speech recognition, which converts the sound signal collected by the device terminal into a position signal, and at the same time corrects and marks the results of the basic positioning, and uses deep learning algorithms to assist training basics Locating and correcting the abnormal locating area, specifically including the fo...

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 an indoor positioning and navigation method combined with voice recognition, and relates to the technical field of indoor positioning. Including: adopting the method of converting the sound signal collected by the device terminal into a position signal, and at the same time correcting and marking the basic positioning results, and using deep learning algorithms to assist in training basic positioning and correcting abnormal positioning areas, specifically including the following steps: (1) Extract the position signal from the sound signal; (2) Judge the validity of the position signal; (3) Use the position signal to correct and mark the basic positioning results; (4) Use the deep learning algorithm to analyze the basic positioning results Offline data is used for training and applied to the basic positioning in the later stage. The method of the present invention can not only correct the basic positioning, but also mark and train the offline data of the basic positioning, so as to improve the accuracy of the basic positioning when there is no sound information.

Description

technical field [0001] The invention relates to the technical field of indoor positioning, in particular to an indoor positioning and navigation method combined with voice recognition. Background technique [0002] With the advancement and development of network technology, positioning technology based on indoor spatial signals has also received more and more attention. Indoor spatial signals generally include, for example, WiFi, Bluetooth, BLE, geomagnetism, barometer, and the like. The principle of indoor positioning is to generate a spatial fingerprint based on the distribution of the above signals in the whole space, match the spatial signal of the user's current location, find the position with the greatest similarity, and realize the positioning capability. But in the actual process, as the environment changes, the spatial signal will change. The local positioning accuracy will decrease. The cost of re-acquisition of spatial signals is relatively high, and it is dif...

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): G01C21/00G01C21/20
CPCG01C21/005G01C21/206
Inventor 韩业强徐强王超
Owner 杭州十域科技有限公司
Features
  • Generate Ideas
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com