Intelligent human body multidimensional natural feature big data transparent learning method and system

Abstract

The invention discloses an intelligent human body multidimensional natural feature big data transparent learning method and an intelligent human body multidimensional natural feature big data transparent learning system. The intelligent human body multidimensional natural feature big data transparent learning method comprises 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 and acquire corresponding face images; step 3, step 3, performing rapid identification on human body face images to be identified by adopting an Elman 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 remote server; step 5, and inputting the acquired health data into aBP neural network human body health assessment model, so as to obtain health detection degrees of the human bodies to be identified. The intelligent human body multidimensional natural feature big data transparent learning method and the intelligent human body multidimensional natural feature big data transparent learning system are based on a big data platform, employ the wearable equipment, theUAV 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, and in particular relates to a method and system for transparent learning of multi-dimensional natural feature big data of an intelligent human body. 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 i...

AI Technical Summary

Problems solved by technology

However, the human body is a huge and complex organic system, and it is difficult to accurately judge the health status of the human body only through a simple physiological index information.

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