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Old people falling monitoring method based on smart mobile phone and wearable device

A technology for wearable devices and smart phones, applied in diagnostic recording/measurement, medical science, diagnosis, etc., which can solve the problems of single data, false alarm of fall detection, etc.

Inactive Publication Date: 2016-10-26
WUHAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, some high-intensity daily activities such as jogging and sitting down quickly will also produce a large acceleration value similar to falling. Therefore, the data collected by using the acceleration sensor alone for fall detection is relatively simple, which is not enough to fully reflect the human body posture. Brings many false alarms to fall detection

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  • Old people falling monitoring method based on smart mobile phone and wearable device
  • Old people falling monitoring method based on smart mobile phone and wearable device
  • Old people falling monitoring method based on smart mobile phone and wearable device

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Embodiment Construction

[0033] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0034] The invention provides a method for monitoring the falls of the elderly based on smart phones and wearable devices. The heart rate data of the user is monitored continuously around the clock through the wearable device, and is automatically transmitted to the smart phone through Bluetooth short-distance communication technology. Analysis and processing: collect signal data and position data that reflect the main movement posture changes of the human body through the built-in acceleration sensor and gyroscope of the smartphone, and use the human body mot...

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Abstract

The invention discloses a fall monitoring method for the elderly based on a smart phone and a wearable device. The heart rate data of the user is monitored continuously around the clock through the wearable device, and is automatically transmitted to the smart phone through the Bluetooth short-distance communication technology. Analysis and processing: collect signal data and position data that reflect the main movement posture changes of the human body through the built-in acceleration sensor and gyroscope of the smartphone, and use the human body motion acceleration signal vector modulo threshold method to identify and distinguish low-intensity daily life activities. For high-intensity activities of daily living, it is judged by the new feature quantity obtained by further processing the vector modulo data of the human motion angular acceleration signal; thus realizing the monitoring of the daily behavior of the elderly and monitoring and alarming of falls.

Description

technical field [0001] The invention belongs to the technical field of human behavior monitoring, and in particular relates to a fall monitoring method based on smart phones and wearable devices. Background technique [0002] As our country enters an aging society, the sudden illness of the elderly has become a problem that people pay more and more attention to. In view of the current situation of the medical industry, it is difficult to monitor the health of the elderly in a timely manner when there are potential health risks for the elderly, and to issue an alarm when the elderly fall. Falls are one of the most important causes of disability or even death for the elderly. The fall detection device can recognize falls and give an alarm quickly, so that users can get medical assistance in time to reduce the damage to the body caused by falls. [0003] With the popularity of smart phones, the rise of wearable devices, the rapid development of cloud computing and big data tec...

Claims

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Application Information

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IPC IPC(8): A61B5/11A61B5/0205
CPCA61B5/1117A61B5/0205A61B5/6802
Inventor 崔晓晖王志波寇静雅
Owner WUHAN UNIV
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