Human body behavior analysis method based on artificial intelligence

A technology of behavior analysis and artificial intelligence, applied in the direction of instruments, biological neural network models, character and pattern recognition, etc., can solve the problems of long cycle and low efficiency of human behavior analysis

Inactive Publication Date: 2020-10-30
安徽碧耕软件有限公司
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a human body behavior analysis method based on artificial intelligence, by collecting a large amount of human body image data as a training set and a test set, in combination with artificial intelligence convolutional neural network to identify human body characteristics, and to detect human body behavior characteristics Carry out diagnosis and early warning, which solves the problem of low efficiency and long cycle of existing human behavior analysis

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 body behavior analysis method based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0030] see figure 1 Shown, the present invention is a kind of human behavior analysis method based on artificial intelligence, comprises the following steps:

[0031] Step S1: Obtain and store the image data collected by the shooting device in real time;

[0032] Step S2: performing feature recognition on the collected image data;

[0033] Step S3: After feature recognition, after the outline of the human body is accurately positioned, use the feature extraction ...

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 body behavior analysis method based on artificial intelligence. The method comprises the following steps: acquiring and storing image data acquired by shooting equipment in real time; performing feature recognition on the acquired image data; after the human body contour is accurately positioned after feature recognition, acquiring all behavior features of the humanbody by using a feature extraction algorithm; constructing a feature model by utilizing the extracted behavior features; and inputting the feature model into a convolutional neural network, mining and analyzing the image data by using the convolutional neural network to obtain a human body behavior analysis result, and storing the human body behavior analysis result. A large amount of human bodyimage data is collected as a training set and a test set, the human body characteristics are identified by combining the artificial intelligence convolutional neural network, the optimal image is acquired, the human body behavior characteristics are judged and identified by taking the optimal image as the reference standard, and the human body behavior characteristics are diagnosed and early warned by setting the threshold, so that the human body behavior analysis strength and the analysis efficiency are improved.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, in particular to an artificial intelligence-based human behavior analysis method. Background technique [0002] Artificial Intelligence (Artificial Intelligence), the English abbreviation is AI. It is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems, etc. [0003] Usually, user behavior feedback has a guiding effect on product optimization and performance improvement. By analyzing user behavior logs and user feedback, it can help ...

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): G06K9/00G06N3/04
CPCG06V40/10G06N3/045
Inventor 胡二琳
Owner 安徽碧耕软件有限公司
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