Fall risk prediction method, system and device
A technology of risk prediction and risk early warning, applied in the field of image recognition, can solve problems such as ineffective early warning, slow children or the elderly, and falls
Active Publication Date: 2019-10-25
深圳市积加创新技术有限公司
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[0004] In the above-mentioned fall prediction process, there may be situations where the early warning has no effect. For example, the target of the activity is a running child or an elderly person. falls
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[0146] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.
[0147] It should be noted that the terms "including" and "having" in the embodiments of the present invention and the drawings and any variations thereof are intended to cover non-exclusive inclusions. For example, the process, method, system, product, or device that contains a series of steps or units is not limited to the listed steps or units, but optionally includes unlisted steps or units, or optionally also includes Other steps or units inhere...
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An embodiment of the invention discloses a fall risk prediction method, a fall risk prediction system and a fall risk prediction device. The fall risk prediction method comprises the steps of: acquiring standby moving path information formed by a mobile person moving in a target scene; clustering the currently acquired standby moving path information by utilizing a preset clustering algorithm whendetermining that a number of the currently acquired standby moving path information exceeds a preset threshold value, and determining a current frequent path information; acquiring first position information of a first object currently existing in the target scene; for each piece of the current frequent path information, determining a fall risk value corresponding to the current frequent path information by using the current frequent path information and the acquired first position information; and pushing fall risk early warning to users corresponding to the target scene by using the fall risk value corresponding to the current frequent path information, thereby realizing prediction of fall possibility of the person and conducting more effective early warning, so as to prevent the occurrence of the fall of the person to a certain extent.
Description
Technical field [0001] The present invention relates to the technical field of image recognition, in particular to a fall risk prediction method, system and device. Background technique [0002] At present, people falling in specific scenes (such as home indoor environment) occur from time to time. Related technologies generally detect the people falling in specific scenes, and then take corresponding measures to help those who have fallen. personnel. It can be seen that the related technology is to detect the condition of a fall that has occurred, it cannot prevent the occurrence of a fall event, and it does not provide enough safety protection for personnel. [0003] In order to achieve better protection of personnel safety to a certain extent, there is also a real-time early warning method of fall risk. The specific process is: real-time acquisition of 3D model data in the monitoring space through the 3D modeling system, and the monitoring space includes activity targets And t...
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IPC IPC(8): G08B21/04
CPCG08B21/043
Inventor 王安唐矗
Owner 深圳市积加创新技术有限公司