UAV human body health monitoring method and system based on intelligent visual reconstruction

A technology of human health and intelligent vision, applied in health index calculation, neural learning methods, computer components, etc., can solve problems such as judging human health status

Inactive Publication Date: 2018-04-27
CENT SOUTH UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the human body is a huge and complex organic system, and it is difficult to accurately

Method used

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  • UAV human body health monitoring method and system based on intelligent visual reconstruction
  • UAV human body health monitoring method and system based on intelligent visual reconstruction
  • UAV human body health monitoring method and system based on intelligent visual reconstruction

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Embodiment Construction

[0093] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0094] Such as Figure 4 As shown, a UAV human health monitoring method based on intelligent visual reconstruction includes the following steps:

[0095] Step 1: Build a database of human health characteristics;

[0096] The human body health characteristic database includes a human body natural sign database and a human body extreme sports database;

[0097] Wherein, the human body natural signs database includes facial images and corresponding heights of different people, and the facial images include various frontal images, left face images and right face images obtained under different light intensities;

[0098] The human extreme exercise database includes the health data of each person in the human health characteristic database under the conditions of various exercise amounts of different extreme exercises, and the health data refe...

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Abstract

The invention discloses a UAV human body health monitoring method and a UAV human body health monitoring system based on intelligent visual reconstruction. The UAV human body health monitoring methodcomprises the steps of: step 1, constructing a human body natural physical sign database and a human body extreme sports database; step 2, utilizing human body heights obtained by means of a ZED camera carried on a UAV to screen a human body group to be identified; step 3, step 3, performing rapid identification on human body face images to be identified by utilizing a generalized regression neural network based on a Hadoop platform; step 4, tracking identified human bodies by means of the UAV, acquiring health data of human bodies to be identified and transmitting the health data to a remoteserver by means of wearable equipment; step 5, and inputting the acquired health data into a human body health assessment model based on a PID neural network, so as to obtain health detection degreesof the human bodies to be identified. The UAV human body health monitoring method and the UAV human body health monitoring system are based on a big data platform, employ the wearable equipment, the UAV and the binocular camera to acquire outdoor sports human body health information, and perform real-time health monitoring, so as to make a reasonable decision.

Description

technical field [0001] The invention belongs to the field of health monitoring big data, in particular to a human health monitoring method and system of an unmanned aerial vehicle based on intelligent visual reconstruction. Background technique [0002] With the continuous development of social economy, the concept of health has gradually become popular among the people, and the number of people participating in outdoor sports is growing day by day. At the same time, the rate of sports accidents caused by excessive exercise of sports individuals is also increasing. Therefore, it is very meaningful to monitor the health of the human body in real time and effectively ensure the safety of the athletes in outdoor sports. [0003] In recent years, with the development of information diversification, as well as computer technology, microelectronics technology and multi-sensor network becoming more and more mature, information fusion, as an effective comprehensive information proc...

Claims

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Application Information

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IPC IPC(8): G16H50/20G16H50/30G16H40/67G16H70/00G06N3/08G06K9/62G06K9/46G06K9/00
CPCG06N3/08G06N3/086G06V40/168G06V10/449G06F18/2135
Inventor 刘辉李燕飞
Owner CENT SOUTH UNIV
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