Inertial technology based and Android phone applied detection and smart alarm method for old people's fall

Abstract

The invention discloses an inertial technology based and Android phone applied detection and smart alarm method for old people's fall. The method comprises the following steps: reading the data concerning the human body acceleration, the angular acceleration and the geomagnetic field strength measured respectively by the accelerometer, the gyroscope, the magnetometer and other sensors in an Android phone; based on the read data concerning the human body acceleration and the alike, using the inertia technique to calculate and seek the accelerations of ax, ay, az at the human body attitude angles and under a geographic coordinate system like the yaw angle (psi), the pitch angle (theta) and etc.; if az is greater than an acceleration amplitude threshold and the duration is longer than t1, indicating that the human body is in motion; waiting until t2 time, if the yaw angle (psi) or the pitch angle (theta) is greater than an angle threshold, determining a fall occurs; otherwise, considering a normal human movement is taking place; when a fall is detected, starting the smart alarm; and if in the t3 time, the alarm is not cancelled by the old people, sending the alarm information about the position and the body condition of the old people to their relatives and medical institutions. With the invention, it is possible to increase the detection accuracy of falls substantially. The method can also be expanded conveniently.

Description

technical field [0001] The invention relates to an Android mobile phone App, in particular to an inertial technology-based fall detection and intelligent alarm method for the elderly. Background technique [0002] 1. China's social population is aging seriously, and "empty nest" families are increasing [0003] With the acceleration of social aging and the evolution of family structure, the aging population and the sharp increase in the number of "empty nest" families have become increasingly serious social problems facing our country. By the end of 2015, the number of elderly people aged 60 and above had exceeded 200 million, accounting for 14.9% of the total population; about 18.24 million elderly people lived in single empty-nest families. It is estimated that the elderly population will reach nearly 300 million by 2030, and the aging, disability, and empty nests of the elderly population will further intensify, and the proportion of empty nest elderly families may reach...

AI Technical Summary

Problems solved by technology

[0004] 2. Frequent falls among the elderly, and failure to provide timely assistance has become the leading cause of accidental casualties for the elderly

[0006] 3. There are defects in the existing fall detection method

[0008] 1) The fall detection method based on image information and audio signals requires special video and audio detection equipment, which is expensive and limited by time and space;

[0009] 2) Most of the fall detection methods based on acceleration signals only use accelerometer as a sensor, the data obtained is limited, and the acceleration data is used as the detection basis after simple processing, and the false alarm rate is high

[0010] 3) The detection method based on non-Android system wearable devices is limited by the imperfect development system, and requires the elderly to wear additional wearable devices, which is not conducive to product promotion

Images