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A method for identifying falls of the elderly and accompanying robot

A technology for the elderly and algorithms, applied in the field of identifying falls of the elderly, methods and companion robots, can solve problems such as low recognition accuracy, achieve high recognition accuracy, solve problems in accuracy and speed, and reduce positioning errors.

Active Publication Date: 2022-04-05
SICHUAN TECH & BUSINESS UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is: the present invention provides a method for identifying falls of the elderly and an accompanying robot, which solves the problem of low recognition accuracy caused by the existing use of local feature extraction and detection, and realizes the problem of blurred images, video shakes and poor light. It can correctly and quickly identify the fall behavior of the elderly in such environments

Method used

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  • A method for identifying falls of the elderly and accompanying robot
  • A method for identifying falls of the elderly and accompanying robot
  • A method for identifying falls of the elderly and accompanying robot

Examples

Experimental program
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Embodiment 1

[0065] The traditional attitude feature extraction method of the elderly relies on the recognition of the local features of the elderly body in the image, and accurate detection is required. When the environmental noise such as light is large, the extraction of local features may be inaccurate; the attitude feature extraction method cannot obtain high-dimensional The densely sampled information in the space will lead to data loss during continuous estimation, resulting in the failure to guarantee the recognition accuracy and recognition continuity. Therefore, this application proposes an identification method to overcome the above problems, the details are as follows:

[0066] Such as figure 1 , 4 As shown, a method for identifying falls in the elderly includes the following steps:

[0067] Step 1: Collect body video data of the detected object;

[0068] Step 2: Use the YOVO algorithm to perform human body positioning through distance measurement to obtain human body image ...

Embodiment 2

[0100] Based on the method of Embodiment 1, this embodiment provides a companion robot that recognizes falls of the elderly, the details are as follows:

[0101] A companion robot that recognizes falls in the elderly includes

[0102] The collection device is used to collect video information, voice information and image information such as the behavior and posture of the detection object and send them to the GPU cluster server and database;

[0103] GPU cluster server to analyze video information, image information and voice information to obtain fall recognition results;

[0104] The database is used to store the collected video information, image information and voice information and the analyzed fall recognition results;

[0105] The processing device is used for invoking database data, receiving fall recognition results for display, and alarming.

[0106] The GPU cluster server includes a fall recognition module, and the fall recognition module includes

[0107] A form...

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Abstract

The invention discloses a method for identifying falls of the elderly and an accompanying robot, and relates to the field of fall posture recognition; the method includes step 1: collecting body video data; step 2: performing human body positioning; step 3: obtaining skeleton information based on the above results; Step 4: Calculate the head-to-foot height difference hd, the head-to-foot height difference hp of the front and back frames, the speed v and shoulder width w corresponding to the head height difference of the front and back frames according to the skeleton information; Step 5: Establish a judgment formula based on the above data, Output the result, and calculate the distance measurement error, judge whether it satisfies the two classification conditions, if satisfied, then adopt the neural network model of establishment to identify, if not, then return to step 1; the present invention first carries out character extraction, then carries out gesture recognition , Recognize dynamic and static recognition through skeleton information, solve the problem of low recognition accuracy caused by the existing use of local feature extraction and detection, and realize correct and rapid recognition of the elderly's fall behavior.

Description

technical field [0001] The invention relates to the field of fall posture recognition, in particular to a method for recognizing falls of an elderly person and an accompanying robot. Background technique [0002] With the continuous development and progress of my country's science and technology and medical care, my country's "aging" population is growing simultaneously, and the elderly care has become a social problem. So far, my country's aging population has far exceeded the world average. According to the prediction results of the United Nations, the National Population and Family Planning Commission, the National Committee on Aging and some scholars on the future aging development trend of China, the elderly population in my country will increase by about 10 million annually from 2018 to 2035. At present, the rate of elderly empty-nest families in my country's mass cities has reached 70%. This data is deteriorating sharply. However, China's elderly care industry is s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V40/20G06V20/40G06V10/764G06V10/82B25J11/00A61B5/11G06K9/62G06N3/04G06N3/08
CPCA61B5/1117A61B5/1128B25J11/009G06V40/20G06V20/10
Inventor 王敏陈蕊汪依帆
Owner SICHUAN TECH & BUSINESS UNIV
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