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

Human abnormal gait recognition method based on smart phone

A technology of abnormal gait recognition and smart phones, applied in the field of computer recognition, can solve the problems of inaccurate detection of abnormal gait, achieve classification and recognition, and overcome limitations

Inactive Publication Date: 2019-10-01
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF8 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the above-mentioned deficiencies in the prior art, a smart phone-based human abnormal gait recognition method provided by the present invention solves the problem of inaccurate abnormal gait detection

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
  • Human abnormal gait recognition method based on smart phone
  • Human abnormal gait recognition method based on smart phone
  • Human abnormal gait recognition method based on smart phone

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0044] Such as figure 1 As shown, a smart phone-based human abnormal gait recognition method includes the following steps:

[0045] S1, collect the signal data of the acceleration sensor and the rotation vector sensor in the smart phone when the human body is walking;

[0046] Keep your smartphone in the right trousers leg pocket. Generally speaking, the pants are in close contact with the thighs of the human body, so the...

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 human abnormal gait recognition method based on a smart phone. According to the method, human gait data can be effectively collected through the smart phone, the related feature information of different gait types of a human body is extracted, and the classification and recognition of different abnormal gait types are achieved. The limitation of a traditional abnormal gait analysis and detection method is overcome.

Description

technical field [0001] The invention relates to the technical field of computer identification, in particular to a smart phone-based identification method for human abnormal gaits. Background technique [0002] Walking is one of the most important daily activities of human beings, and gait refers to the posture when walking. Gait is a special characteristic of human beings, determined by factors such as body weight, limb length, heel, posture, and unique movements. Therefore, gait can be used as a biometric method to identify known people and classify unknown objects. Normal gait is periodic and rhythmic, and is the result of coordinated movements of the human skeletal system, nervous system, and muscular system. However, due to the influence of diseases, accidental injuries and other factors, a certain part of the human body's gait cycle is out of balance, causing walking obstacles, resulting in a decline in the body's balance function, slow movement, and even seriously af...

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): G16H50/20G16H20/30G06K9/62G06F17/18
CPCG16H50/20G16H20/30G06F17/18G06F18/24147
Inventor 张伟张学志康慧王雷雷
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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