Tumble detection method and wearable tumble detection device

Abstract

The present invention discloses a tumble detection method and a wearable tumble detection device. The tumble detection method includes the following steps that: an atmospheric pressure sensor is utilized to acquire atmospheric pressure values, and an atmospheric pressure change rate is calculated; when the atmospheric pressure change rate is greater than a change rate threshold value a1, a current time point t0 and an atmospheric pressure value of the corresponding time point t0 are recorded; atmospheric pressure values and an atmospheric pressure change rate in a time interval from the current time point t0 to a time point t are stored in a storage module, and the maximum value max_1 of the atmospheric pressure value and the maximum value Max_2 of the atmospheric pressure change rate are obtained; whether max_1, max_2, m, a change rate threshold value a2, an atmospheric pressure threshold value b and an atmospheric pressure threshold value c satisfy relational expressions max_2>a2 and b<max_1-m<c is judged; if the max_1, max_2, m, the change rate threshold value a2, the atmospheric pressure threshold value b and the atmospheric pressure threshold value c satisfy the relational expressions, it is judged that a user tumbles; and if the max_1, max_2, m, the change rate threshold value a2, the atmospheric pressure threshold value b and the atmospheric pressure threshold value c do not satisfy the relational expressions, the storage module is cleared, the atmospheric pressure change rate is monitored further. According to the tumble detection method and the wearable tumble detection device, whether the user tumbles is judged through the atmospheric pressure values and the atmospheric pressure change rate. The tumble detection method and the wearable tumble detection device have the advantages of simple process, easiness in implementation, high real-time performance and high accuracy.

Description

technical field [0001] The invention relates to the technical field of intelligent electronic equipment, in particular to a fall detection method and a wearable fall detection device. Background technique [0002] Falls are an important factor causing disability, disability and death among the elderly, and seriously affect the physical and mental health of the elderly. With the increasingly prominent problem of population aging, the incidence of falls among the elderly has also increased accordingly. Actively paying attention to and effectively preventing the falls of the elderly is a very important content for the benefit of the elderly. [0003] At present, the relevant elderly monitoring products on the market only detect the falls of the elderly through acceleration sensors and gyroscopes. It is necessary to collect sensor data in various behaviors and analyze the characteristics of the data. However, various behavior types are more complicated. The detection accuracy i...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problems of complex algorithms, poor timeliness and low accuracy in existing fall

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