Intelligent nursing system for behaviors of old people and identification method.

Abstract

The invention relates to an intelligent nursing system for behaviors of old people and an identification method. The intelligent nursing system is based on a network camera, an audio collector and a physiological information collector. Abnormal information detection and multi-modal information fusion capability analysis are carried out on collected audio, image and physiological information multi-modal information through a convolutional neural network model of a client concentrator, and then behaviors and health conditions of the elderly are identified and transmitted to a central applicationserver through a network transmission system, and the abnormal information is sent to the information terminal. According to the invention, more accurate identification, analysis and prediction can be carried out on the home health condition of the elderly, casualties of the elderly due to accidents caused by sudden diseases, home environment and the like are reduced, and comprehensive intelligent monitoring on the dangerous condition of the elderly at home is realized. All-weather health condition analysis and intelligent alarm monitoring can be carried out on the elderly at home.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to an intelligent nursing system and identification method for behavior of the elderly. Background technique [0002] With the advent of my country's aging society, the proportion of the elderly, especially those living alone, is increasing year by year. People are paying more and more attention to the monitoring of the physical and mental health status of the elderly alone at home. It is of great social significance and market value to discover and even warn the physical and psychological dangers of the elderly at home in time. Although the traditional simple monitoring system based on network cameras can allow children or nursing staff to observe remotely at any time, it still cannot achieve full-time coverage monitoring. [0003] In order to solve the above problems, common solutions are mainly intelligent video surveillance systems based on traditional image processing or de...

AI Technical Summary

Problems solved by technology

Although the traditional simple monitoring system based on network cameras can allow children or nursing staff to observe remotely at any time, it still cannot achieve full-time coverage monitoring

[0003] In order to solve the above problems, common solutions are mainly intelligent video surveillance systems based on traditional image processing or deep learning. , or when there are potential dangers in the physical condition, such as heart disease, high blood pressure, and shortness of breath, which cannot be manifested as obvious behaviors and cannot be obtained by visual analysis, this purely vision-based intelligent monitoring system cannot achieve monitoring coverage

[0004] However, the existing elderly care system based on the Internet of Things is still unable to fully intelligently utilize the useful information involved in the Internet of Things

For example, the Chinese patent "Elderly Care System Based on the Internet of Things" with the application number CN201320852485.8 can only transmit the information obtained in the Internet of Things to the server, but cannot intelligently provide analysis and alarm

[0005] To sum up, the existing intelligent video monitoring system and the elderly care system of the Internet of Things cannot realize comprehensive intelligent monitoring of the dangerous conditions of the elderly at home, and the intelligent monitoring technology that can perform all-weather health status analysis and alarm is currently in the world. Still a technology gap

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