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A fall detection and early warning method based on smart wearable devices

A technology of smart wearable devices and alarm signals, applied in the field of data processing, can solve the problem of difficult to distinguish the dangerous state of falling and the normal state, and achieve the effect of protecting safety

Active Publication Date: 2019-12-20
广州爱牵挂数字科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

First of all, the data collection uses the pressure sensor on the sole of the foot; secondly, there is a big difference between the gait characteristics of Parkinson's patients and the gait characteristics of the elderly who are prone to falls, and it is difficult to distinguish the fall state, in a dangerous state where a fall may occur and in a normal state

Method used

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  • A fall detection and early warning method based on smart wearable devices
  • A fall detection and early warning method based on smart wearable devices
  • A fall detection and early warning method based on smart wearable devices

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Embodiment Construction

[0029] The specific embodiment of the present invention will be further described below in conjunction with accompanying drawing:

[0030] refer to figure 1 , a fall detection and early warning method based on smart wearable devices, comprising the following steps:

[0031] A, read in the training data, the training data includes multiple groups of healthy person gait data and multiple groups of abnormal gait data, the training data is the acceleration of hand swing in walking;

[0032] First of all, using the acceleration data of hand swing can accurately reflect the state of hand swing under uniform motion, refer to figure 2 The ideal model of the gait data of a healthy person is shown. When the time is 0, the acceleration is the largest, and the arm swings forward from the end. When the first zero point is reached, the arm swing speed is the largest, and then starts to decelerate until the arm swings to the front position. This is done. The first half cycle of a gait; th...

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Abstract

The invention discloses a falling detection and early-warning method based on a smart wearable device. The method comprises the following steps: reading training data; extracting characteristic parameters; training an SVM classifier; collecting sensing data; testing the collected data by using an SVM classifier, determining whether a falling risk occurs and carrying out prompting; and detecting whether falling occurs and carrying out early warning. According to the invention, the SVM classifier is trained based on characteristic parameters extracted from gait data of the healthy person and abnormal gait data; and whether the gait is in an abnormal state is distinguished and identified accurately, so that the possible falling situation is prompted in advance; and if the falling may occur, real-time falling detection is carried out on the user to protect the safety of the user. The falling detection and early-warning method based on a smart wearable device can be applied to the field ofdata processing widely.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a fall detection and early warning method based on smart wearable devices. Background technique [0002] With the aging of the population, the population over the age of 60 in my country has exceeded 230 million. The health and safety of the elderly has attracted widespread attention from the society. The daily life ability of the elderly has declined, and problems such as falls, trends, sudden illnesses, and forgetting to take medicine are common. . Existing smart wearable devices can detect static parameters such as blood pressure and heart rate, and detect dynamic parameters such as falls, and then get more feedback during product use. For the elderly, a fall may cause joint damage or even a fracture. The current fall detection technology can only realize the detection after the fall, and it is difficult to meet other functional requirements. [0003] In terms of gait recogniti...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08B21/04
CPCG08B21/0446G08B21/0453
Inventor 陈震郭伟斌皮亦然陈文声王锦章
Owner 广州爱牵挂数字科技有限公司