Fall detection method based on mobile phone camera

A mobile phone camera and detection method technology, which is applied to computer components, equipment with sensors, telephone communication, etc., can solve the problems of difficult multi-point deployment and high cost, and achieve the effects of high fall judgment accuracy, low cost, and convenient maintenance

Pending Publication Date: 2018-07-06
KUNMING MEDICAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The second method uses visual sensors and requires image analysis. Generally, the fall detection program is deployed on the computer, which is extremely costly and difficult to deploy in multiple locations.

Method used

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  • Fall detection method based on mobile phone camera

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Effect test

Embodiment 1

[0023] Such as figure 1 Shown, a kind of fall detection method based on mobile phone camera, described fall detection method based on mobile phone camera comprises the following steps:

[0024] Step S1: Obtain the image information captured by the camera of the mobile phone and perform grayscale processing;

[0025] The step S1 of obtaining the image information captured by the mobile phone camera and performing grayscale processing includes: by setting a fall detection program in the mobile phone, it can be set in a mobile phone based on the Android platform or iOS platform, etc., thereby, the mobile phone camera can be controlled by the program Take an image, obtain the color picture information taken by the mobile phone camera, convert the color picture into a grayscale picture through grayscale processing, and cache the picture information.

[0026] Step S2: Obtain a difference image through the current frame image and the previous frame image;

[0027] The step S2 obtai...

Embodiment 2

[0036] Such as figure 1 Shown, a kind of fall detection method based on mobile phone camera, described fall detection method based on mobile phone camera comprises the following steps:

[0037] Step S1: Obtain the image information captured by the camera of the mobile phone and perform grayscale processing;

[0038] The step S1 of obtaining the image information captured by the mobile phone camera and performing grayscale processing includes: by setting a fall detection program in the mobile phone, it can be set in a mobile phone based on the Android platform or iOS platform, etc., thereby, the mobile phone camera can be controlled by the program Take an image, obtain the color picture information taken by the mobile phone camera, convert the color picture into a grayscale picture through grayscale processing, and cache the picture information.

[0039] Step S2: Obtain a difference image through the current frame image and the previous frame image;

[0040] The step S2 obtai...

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Abstract

The invention discloses a fall detection method based on a mobile phone camera. The fall detection method includes the steps: acquiring image information shot by the mobile phone camera and performinggraying processing; acquiring a difference image through a current frame image and a previous frame image; analyzing difference image information to obtain a motion area; calculating the highest point and the lowest point of the motion area and calculating the inclination angles of the two points; judging whether fall occurs or not according to the inclination angles; deploying programs on a mobile phone based on an optimal image fall detection algorithm, acquiring images by the aid of the mobile phone camera serving as a visual sensor, and transmitting abnormal information to a guardian by amobile phone short message module. Cost is reduced, rapid deployment is facilitated, and the fall detection method has the advantages of low manufacturing cost, convenience in installation and maintenance, high fall judgment precision and the like.

Description

technical field [0001] The invention relates to the technical field of monitoring, in particular to a fall detection method based on a mobile phone camera. Background technique [0002] At present, the number of elderly people in the country is huge, and the death rate caused by the inability to provide quick treatment after a fall has risen sharply. Therefore, fall detection has become a research hotspot. In the research of fall detection, two major directions are involved, one is to use inertial sensors (electronic gyroscopes, angular accelerometers, etc.), and the other is to use visual sensors (ordinary cameras, infrared thermal imaging cameras, etc.), Fall judgment is realized based on the data analysis of these sensors. For example, an electronic gyroscope is used to wear on a person, and when a large acceleration in a certain direction is read, it is considered that the human body has fallen. The visual sensor method is to analyze the image information to determine...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00H04M1/725H04M1/72484
CPCH04M2250/12H04M1/72439H04M1/72454H04M1/72484G06V40/20
Inventor 陈茉弦王蕾唐欣孟繁媛敖丽娟
Owner KUNMING MEDICAL UNIVERSITY
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