A fall risk prediction method, system and device
A technology of risk prediction and risk early warning, applied in the field of image recognition, which can solve problems such as falls, ineffective early warning, slow children or the elderly, etc.
Active Publication Date: 2020-08-11
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. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0147] It should be noted that the terms "include" and "have" and any variations thereof in the embodiments of the present invention and the drawings are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally further includes For other steps or units inhe...
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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, the situation of people falling in a specific scene (such as a family indoor environment) occurs from time to time. In related technologies, the fall situation of people in a specific scene is generally detected, and then corresponding measures are taken to help the person who falls. personnel. It can be seen that the relevant technology is to detect the situation of the fall that has occurred, which cannot prevent the occurrence of the fall event, and the safety protection of the personnel is not strong enough. [0003] In order to achieve better protection of personnel safety to a certain extent, there is currently a real-time early warning method for the risk of falls. The specific process is as follows: the 3D model data in the monitoring space is obtained in real ti...
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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