Elder slow fall detection device based on wearable sensor

Abstract

The invention provides an elder slow fall detection device based on a wearable sensor, and relates to the technical field of detecting the fall state of an elder. The elder slow fall detection devicebased on a wearable sensor includes a power supply module, a sensor module, an accelerometer module, a main control microprocessor module, a bluetooth communication module and a mobile phone terminal.The elder slow fall detection device based on a wearable sensor realizes detection of the leg state based on a carbon nanotube / rubber sensor, realizes detection of the motion state of a human body based on a three-axis acceleration sensor, establishes a motion model for the falling process of the human body through the main control microprocessor module, determines whether the change of the testee conforms to the falling process by determining whether the acceleration direction and the acceleration magnitude of the three-axis accelerometer are changed and how the acceleration direction and the acceleration magnitude of the three-axis accelerometer change and whether the resistance change of the carbon nanotube / rubber sensor is normal, and transmits the determination result to the mobile terminal through Bluetooth communication. The elder slow fall detection device based on a wearable sensor can accurately distinguish the normal state of the human body and the accidental fall of the human body, and can timely treat the fallen elder.

Description

technical field [0001] The invention relates to the technical field of detection of an elderly person's fall state, in particular to a device for detecting a slow fall of an elderly person based on a wearable sensor. Background technique [0002] China is gradually entering an aging society, and the health problems of the elderly have received widespread attention. There are some products that monitor the heart of the elderly, but there are still relatively few studies on the detection of falls in the elderly. The accidental fall of the elderly without supervision will lead to serious consequences. In order to reduce the injury caused by the elderly's falls, timely medical services can play a vital role. Therefore, real-time detection of human fall behavior is very necessary. The traditional method is to use a three-axis acceleration sensor to detect the human body in real time. Usually, it can be accurately monitored, but it may cause a missed judgment for a small fall or a...

AI Technical Summary

Problems solved by technology

The traditional method is to use a three-axis acceleration sensor to detect the human body in real time. Usually, it can be accurately monitored, but for a small fall or a slow fall, it may cause a missed judgment.

Images