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A fall detection method

A detection method and acceleration technology, which are applied in neural learning methods, measurement devices, radio wave measurement systems, etc., can solve the problems of complex structural design, high cost, and slow data processing of the monitoring system, so as to facilitate health management and reduce misjudgment. and omissions, the effect of improving reliability

Active Publication Date: 2022-05-17
HANGZHOU DIANZI UNIV
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Problems solved by technology

[0002] Existing monitoring systems for the elderly are mostly based on long-term accumulation of a large amount of user health data, and mining and analysis of these data, the cycle is too long and the cost is too high
This type of monitoring system often has complex structural design, slow data processing, and low efficiency, which cannot meet the needs of elderly caregivers for timely access to emergency situations such as falls.

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  • A fall detection method
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Embodiment Construction

[0085] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0086] On the contrary, the invention covers any alternatives, modifications, equivalent methods and schemes within the spirit and scope of the invention as defined by the claims. Further, in order to make the public have a better understanding of the present invention, some specific details are described in detail in the detailed description of the present invention below. The present invention can be fully understood by those skilled in the art without the description of these detailed parts.

[0087] see figure 1 , is a flow chart of method steps of the present invention, comprising the follow...

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Abstract

The invention discloses a fall detection method, comprising the following steps: S1, performing acceleration calculation on data collected by a triaxial acceleration sensor, determining a threshold range through a BP neural network, and comparing whether the acceleration exceeds to determine whether the current movement of the human body is extremely intense ; S2, multiply the acceleration data calculated by S1 by time and then further calculate the relative energy consumption of the human body by integrating the time, and compare whether it exceeds the set threshold to judge whether the current movement of the person is abnormally intense; S3, use the three-axis gyroscope to collect Data, calculate the tilt angle and roll angle of the human body through the Kalman filter algorithm, and determine whether the posture of the human body is abnormal by judging whether the two exceed the set threshold. The multi-level fall judgment of the present invention improves the reliability of output results, reduces the possibility of misjudgment and omission in the judgment algorithm as much as possible, and enables the system to have the ability of self-adaptation according to user characteristics.

Description

technical field [0001] The invention belongs to the technical field of health monitoring and relates to a fall detection method. Background technique [0002] Most of the existing elderly monitoring systems accumulate a large amount of user health data for a long time, and then mine and analyze these data. The cycle is too long and the cost is too high. This type of monitoring system often has complex structural design, slow data processing, and low efficiency, and cannot meet the needs of elderly caregivers to obtain emergency situations such as falls in a timely manner. As people pay more attention to health, in the care and health management of the elderly or patients, how to improve the efficiency of care, save the labor cost of care, and detect the abnormalities of the elderly or patients at the first time is the current Issues to be solved urgently in nursing and health management. In the event of a fall, timely and accurate fall detection and alarm can win valuable ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08B21/04G08B25/08G08B25/01G06V40/10G06N3/04G06N3/08G16H80/00G01S19/14G01S19/17
CPCG08B21/043G08B21/0446G08B25/08G08B25/016G06N3/04G06N3/08G06N3/084G16H80/00G01S19/14G01S19/17Y02D30/70
Inventor 叶弋君刘国华冯博玮
Owner HANGZHOU DIANZI UNIV
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