Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Bow angle detection method based on CSI signal intensity in wifi

A technology of angle detection and signal strength, applied in the field of computer vision, can solve problems such as bowing the head, and achieve the effects of convenient experimentation, easy deployment, and simple system

Inactive Publication Date: 2019-03-29
XIAN UNIV OF TECH
View PDF2 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the deficiencies of the above-mentioned prior art, the purpose of the present invention is to provide a head-down angle detection method based on wifi-based CSI signal strength, which can promptly remind the user of his own head-down angle problem, help to correct it in time, and can solve long-term problems. The problem with bowing your head

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
  • Bow angle detection method based on CSI signal intensity in wifi

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0025] The present invention proposes a CSI sitting posture detection method based on wifi. The basic principle is: different human body movements can cause different CSI signal change patterns, and the observed signal change patterns can be mapped to different human body movements to be detected. identified in real time.

[0026] In order to use the wifi signal to automatically detect the sitting posture method in real time in the actual environment, the following four problems need to be solved: 1) how does the CSI in the wifi signal flow reflect the sitting posture movement, and how to determine the head angle or waist angle in the sitting posture; 2) the sitting posture is related to Do body part angles use their exact values ​​or ranges? 3) For a complex actual environment, how to automatically and accurately recognize the head-down act...

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 bow angle detection method based on CSI signal intensity in wifi. The method comprises the following steps: step one, configuring an AP and MP; constructing an experimental environment; preparing a commercial normal wireless network card driver, and a wifi router supporting 802.11n or above protocol; and configuring a CSI environment; step two, collecting data; and step three, processing the data; extracting a feature value reflecting a bow action by analyzing and processing channel state information CSI, and establishing a harmonic model; and finally classifying thebow angle action by utilizing a classifier, identifying and correcting the sitting posture, and realizing synchronous adjusting of the waist and cervical vertebra of the user; and reflecting the waistbending degree through the bow angle. The method disclosed by the invention is simple, free from carrying any sensor equipment and high in real time.

Description

technical field [0001] The invention belongs to the field of computer vision, and in particular relates to a head-down angle detection method based on CSI signal strength in wifi. Background technique [0002] Computers have become an indispensable learning and communication tool in daily life and work. Improper posture can cause health problems such as cervical spine and lumbar spine. For the problem of computer posture, the existing detection methods are mainly based on computer vision, sensors, etc., these methods require additional equipment support, and the system cost is high; and the method based on computer vision needs to extract the information of various parts of the human body in the image, which is not conducive to Protect the personal privacy of the monitored person. Contents of the invention [0003] In order to overcome the deficiencies of the above-mentioned prior art, the purpose of the present invention is to provide a head-down angle detection method b...

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): H04B17/309H04L1/06
CPCH04B17/309H04L1/0693
Inventor 张发存张妍李军怀王怀军于蕾
Owner XIAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
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