Real-time monitoring method and system for the fall of the aged based on multi-mode characteristics analyzing

Abstract

The present invention provides a method and system for real-time monitoring of the fall of the elderly based on multi-mode feature analysis, which uses image feature parameters of moving objects, human voice audio feature parameters, motion acceleration signals, angular velocity signals and heart rate signals to monitor the fall of the elderly. Real-time monitoring and early warning improve the reliability and effectiveness of the extracted information, and help to make accurate judgments on the elderly's falls; and the multi-modal characteristic parameters have their own strengths and complement each other. When some of the characteristic parameters of the system are missing due to special reasons such as equipment failure and the elderly not wearing wearable devices, the remaining characteristic parameters can still be used to complete the identification and monitoring of the elderly's falls, thus overcoming the problem of single-modal parameters. Elderly fall monitoring can easily lead to poor monitoring accuracy and the monitoring effect is easily affected by the use environment, which greatly improves the practicability and adaptability of real-time monitoring of elderly fall.

Description

Technical field [0001] The invention relates to the field of Internet of Things technology and elderly monitoring technology, in particular to a real-time monitoring method and system for elderly falls based on multi-mode feature analysis. Background technique [0002] According to statistics, in 2015, my country's population of 60 years and over reached 222 million, accounting for 16.15% of the total population. It is estimated that by 2020, my country’s elderly population will reach 248 million, and the aging level will reach 17.17%, of which 30.67 million will be older than 80 years old; by 2025, my country’s population over 60 years old will reach 300 million, becoming a super-aged country. The aging of the Chinese population and the trend of empty nesting of elderly families are becoming more and more serious. The guardianship of these empty nest elderly has become a social concern. As elderly people get older, their physiological functions are weakened, and their self-care...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies in the prior art, the purpose of the present invention is to provide a real-time monitoring method for the fall of the elderly based on multimodal feature analysis, so as to more reliably and accurately monitor and monitor the fall of the elderly in the indoor environment. Early warning, in order to solve the problem that the monitoring accuracy of the existing elderly fall monitoring and detection scheme is not good, and the monitoring effect is easily affected by the use environment

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