Wearable human body falling detection device

Abstract

The invention discloses a wearable human body falling detection device which is composed of embedded type multi-sensor hardware and falling detection software, wherein human body posture change is measured by the embedded type multi-sensor hardware through an acceleration sensor and a tilt angle sensor, and the falling detection software is used for judging whether the abnormal behavior of falling occurs; when falling occurs, a notice is given to a far end for medical assistance through the General Packet Radio Service (GPRS) and the Global Position System (GPS); a measured human body posture signal is filtered by the falling detection software and then multiple characteristic quantities are extracted; training of multiple SVM parameters and the weighting coefficient of each SVM of the diversity AdaBoost-SVM integrated algorithm is carried out on the characteristic quantities to form an SVM integrated classifier; finally data acquired in real time are input into the falling detection software for detection. According to the wearable human body falling detection device, the embedded diversity AdaBoost-SVM classifier can be used for providing help when an emergency occurs to the aged who are outside, and therefore the device has broad market prospect and great application value.

Description

technical field [0001] The invention relates to a human body fall detection technology, in particular to a fall detection device which is convenient to wear, and improves the correctness and reliability of the detection system. It is suitable for fall alarm and auxiliary medical assistance for middle-aged and elderly people. Background technique [0002] Falls are very common among the elderly. It is estimated that about one-third of people over the age of 65 have falls each year, and the proportion increases with age. Falls often cause great damage to the body of the elderly, and sometimes the consequences are even fatal to the elderly, seriously affecting the health and independent living ability of the elderly, and causing psychological pressure on the elderly and fear, increasing family and social burdens. Early detection of falls can enable them to receive effective and timely help and reduce medical expenses. [0003] A fall is defined as a sudden, involuntary, invo...

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the problem of insufficient reliability and accuracy of the existing human body fall detection algorithm, the present invent

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