A multi-feature fusion attitude recognition system and method

A multi-feature fusion and recognition system technology, applied in the field of multi-feature fusion gesture recognition system, can solve the problems of high misjudgment rate, simple function, and environmental limitations of gesture detection technology.

Active Publication Date: 2019-03-29
ZHEJIANG SCI-TECH UNIV
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In order to overcome the deficiencies of the existing gesture recognition system, the present invention provides a multi-feature fusion gesture recognition system and method, the purpose of which is to overcome the limitations of the environment, simple functions, and low misjudgment rate in the prior art. advanced questions

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
  • A multi-feature fusion attitude recognition system and method
  • A multi-feature fusion attitude recognition system and method
  • A multi-feature fusion attitude recognition system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0065] Combine below Figure 1 to Figure 3 , the technical solution of the present invention is described in detail:

[0066] Such as figure 1 As shown, in order to solve the technical problems in the prior art, the embodiment of the present invention provides a multi-feature fusion gesture recognition system. Wherein, the system includes a management terminal 100 , a cloud server 200 , a wireless network 300 and a human body node 400 . The human body node 400 includes a chest node 410 , a foot node L420 and a foot node R430 . The chest node 410 includes a first single-chip microcomputer 411 , a 9-axis sensor 412 , a first air pressure sensor 413 , a Wi-Fi module 414 , a first 2.4G module 415 and a first power supply module 416 . The Wi-Fi module 414 communicates with the cloud server 200 through the wireless network 300, the 9-axis sensor 412, the first air pressure sensor 413, the Wi-Fi module 414, and the first 2.4G module 415 are all connected to the first single-chip m...

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 relates to a multi-feature fusion attitude recognition system and method. The system includes a management terminal, a Cloud Server, a Wireless Networksand Human Body Nodes, wherein thehuman body node comprises a thorax node, a food node L, and a foot node R; The foot node L comprises a second single chip microcomputer, a second 2.4 G module, a second power supply module and a firstforce-sensitive sensor group; and the foot node R comprises a third single chip microcomputer, a second pressure sensor, a third 2.4 G module, a third power supply module and a second force-sensitivesensor group. In accordance with that present invention, Attitude angle and height difference percentage can detect the posture change of upper body and foot, monitor the change of human body centerof gravity combined with plantar pressure characteristics, and identify posture by using parameters obtained from cloud computing training, which can effectively identify the daily behavior posture ofthe body, and can be queried on the terminal, and has a wide application prospect.

Description

technical field [0001] The invention relates to the technical field of gesture recognition, in particular to a multi-feature fusion gesture recognition system and method. Background technique [0002] With the development of sensor technology and Internet of Things technology, the application of gesture recognition is becoming more and more extensive. In the field of medical and health, it can be mainly used to detect abnormal behaviors such as human falls and daily behaviors, reduce the harm of falls to vulnerable groups such as the elderly, and help normal people reduce or correct bad living habits such as sedentary sitting and standing for a long time; it can also be applied to In the VR game industry, through the player's gesture recognition, the game experience is greatly enhanced. [0003] At present, gesture recognition technology mainly relies on cameras and wearable devices, and the existing problems are as follows: [0004] (1) The camera collects images for anal...

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 Applications(China)
IPC IPC(8): G06K9/62G06K9/00
CPCG06V40/10G06F18/251G06F18/253
Inventor 洪榛洪淼
Owner ZHEJIANG SCI-TECH UNIV
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
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap