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A Mesh Partition-Based Anti-lost Method for Elderly Trajectory Abnormality Detection

A grid division and anti-lost technology, applied to location-based services, measurement devices, branch equipment, etc., can solve problems such as frequent false alarms, cumbersome operations, and inability to change

Active Publication Date: 2020-11-13
XIDIAN UNIV
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  • Abstract
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Problems solved by technology

This kind of system is static and cannot change with the activity habits of the elderly. If the activity range of the elderly needs to be changed, the family needs to manually set the activity range, which is cumbersome to operate and frequent false alarms

Method used

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  • A Mesh Partition-Based Anti-lost Method for Elderly Trajectory Abnormality Detection
  • A Mesh Partition-Based Anti-lost Method for Elderly Trajectory Abnormality Detection
  • A Mesh Partition-Based Anti-lost Method for Elderly Trajectory Abnormality Detection

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Embodiment Construction

[0029] The present invention will be further described below in conjunction with the drawings.

[0030] Such as figure 1 As shown, a method for detecting anomalous trajectory of the elderly based on grid division and preventing loss includes the following steps:

[0031] 1) Meshing

[0032] Set a parameter D, where the length of D is 100 meters, and the entire map is divided into a D×D grid matrix, where the unit of D is the length unit of meter. For the convenience of subsequent mapping, the length unit is converted to the longitude and latitude of the earth. Convert the side length D of the square to a curved surface on a sphere. Since the size of the divided grid is very small compared to the earth, the scale is on the order of 100 meters, so the four sides of the curved quadrilateral are approximately equal, so only α and β need to be calculated here. The calculation formula is as follows:

[0033]

[0034]

[0035] Among them, R is the radius of the earth, D is the length of the...

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Abstract

A grid division-based detection and anti-lost method for the abnormal trajectory of the elderly. Firstly, the map is divided into a grid matrix, that is, a parameter D is set to divide the map into square grids. Then, for the trajectory data uploaded by the elderly fall alarm, after denoising processing, the trajectory data is mapped to the corresponding grid, and it is judged whether the elderly appear in the historical activity grid within T time. If so, refresh T and continue processing the trajectory stream. If it does not appear, an alarm message will be pushed to the family through the APP, and the family will determine whether it is indeed lost. If it is indeed lost, it will navigate to the location of the elderly. If not, refresh T and add the grid that the elderly passed through at this stage to the history. In the active grid, the next time it appears in this grid, the alarm will not be triggered, and then continue to process the estimated data flow information. This method has three main advantages: first, it can use historical trajectories to automatically delineate the range of safe activities; second, it can dynamically adjust the range of safe activities according to system operation; Abnormal trajectory to the police to the family.

Description

Technical field [0001] The invention belongs to the technical field of pedestrian trajectory inspection, and specifically relates to a method for detecting anomalous trajectory of the elderly based on grid division. Background technique [0002] The memory of the elderly gradually declines, especially because some elderly people suffer from Alzheimer's disease, Alzheimer's disease, and amnesia, which cause the elderly to get lost from time to time. [0003] The original technical method is to pre-set the range of activities of an old man through the family, monitor the position of the old man in real time through the GPS positioning system of the old man, and give an alarm when the range is exceeded. This system is static and cannot change with the activity habits of the elderly. If the activity range of the elderly needs to be changed, the family members need to manually set the activity range, which is cumbersome to operate and frequent false alarms. Summary of the invention [0...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/02H04W4/024H04W4/021H04W4/029G01S19/42H04M1/725H04M1/72403
CPCH04W4/021G01S19/42H04M1/72403H04M1/72457
Inventor 杨刚高玉龙
Owner XIDIAN UNIV
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