An abnormal state detection method for a person needing special care

A technology of abnormal state and detection method, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as misjudgment, interference recognition, and inability to distinguish human state well, and achieve timely and low cost effect

Pending Publication Date: 2019-02-12
郭道宁 +1
View PDF4 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It is impossible to judge the situation where the face is blocked or the face cannot be recognized
[0005] The current gesture recognition method also has the following shortcomings: 1. The gesture is generally judged based on a single frame, and multiple frames are not jointly judged, which is prone to misjudgment
2. The recognition method is relatively simple, lack of maintenance of the background, changes in light and shadow, movement of furn

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 abnormal state detection method for a person needing special care

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] The Freescale mainboard device connected with a 1080P USB camera with a viewing angle of 100 degrees is installed in a corner of the room of the caregiver, about 2 meters from the ground, with the camera facing the room, and the video signals collected are pre-installed in the device with the following functions module to process:

[0021] Intelligent maintenance of on-site background images: analyze the background scene map of each frame, continuously intelligently maintain, determine the light and shadow changes and non-human movements of the background scene at any time, and maintain the latest state of the background scene map for the non-human target area at all times, avoiding the use of simple background The image is affected by the changes of light and shadow and the changes of objects in the scene, resulting in wrong judgment in the subsequent steps;

[0022] Pre-identification of scene areas, boundaries and specific objects:

[0023] 1) Mark such as active ar...

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 an abnormal state detection method for a person needing special care. The method comprises the following characteristics of intelligently maintaining the scene background image, keeping the background scene image in the latest state at any time; identifying the scene areas, boundaries and specific targets in advance; carrying out the human detection and tracking; judging the posture of human body from the detected human body image; synthesizing the aforementioned characteristics, analyzing the different gestures and time parameters of different areas in the monitoringscene, and judging whether to be abnormal or not. The method is based on the computer vision field and adopts a machine learning method to detect the abnormal state of human body, and has the advantages of low equipment cost, timely discovery, high detection accuracy and strong robustness.

Description

technical field [0001] The invention relates to a computer vision-based abnormal state detection method for persons requiring special care. Background technique [0002] With the development of the times, the society pays more and more attention to vulnerable groups such as the elderly, the sick, and the disabled. Many of the more vulnerable people have to live alone for a variety of reasons, such as the elderly living alone at home, the blind, and the sick in wards. With the increase of labor costs, many vulnerable people cannot be effectively cared for and protected. Once they encounter an emergency that causes them to fall, faint, lose consciousness or self-help ability, and cannot be discovered by others in time, it is very likely to endanger their lives. As of 2018, there are about 240 million elderly people and about 85 million disabled people in my country. The care of vulnerable people has become an important issue in today's society. [0003] At present, the equi...

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): G06K9/00G06K9/62
CPCG06V40/103G06V20/46G06V20/52G06F18/214
Inventor 秦力郭道宁肖定为
Owner 郭道宁
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