Fall detection and early warning method and system for old people in gerocomium

Abstract

The invention discloses a fall detection and early warning method and a system for old people in a gerocomium. The method comprises the steps: obtaining human body contour image information of old people based on a fuzzy camera; performing human body fall detection on the human body contour image information based on a deep learning algorithm to obtain a fall detection result; acquiring physiological feature information of the old people based on a wearable device; and carrying out fusion analysis on the fall detection result of the old people and the corresponding physiological feature information, and carrying out early warning and medical personnel scheduling based on the current fusion analysis result of the old people. According to the embodiment of the invention, the grade early warning of the physical state and fall of the old people and scheduling of medical personnel are realized on the premise of protecting the privacy of the old people; medical personnel is reasonably arranged for timely treatment, medical resources are reasonably distributed while timely treatment is ensured, and the efficiency of the gerocomium is improved.

Description

technical field [0001] The invention relates to the technical field of smart elderly care, in particular to a fall detection and early warning method and system for elderly people in nursing homes. Background technique [0002] In the smart elderly care system of home care or nursing homes, the anti-fall monitoring of the elderly either uses ground safety sensors or high-definition cameras to monitor the whole process. Using ground safety sensors for monitoring is likely to have inaccurate monitoring status, and there is no way to do real-time and accurate monitoring. Obtain the situation of whether the elderly have fallen; however, the use of high-definition cameras for corresponding monitoring may lead to the exposure of the privacy of the elderly, which brings great inconvenience to the life of the elderly. [0003] There is also the monitoring of some physiological characteristic data of the elderly by wearing corresponding smart monitoring bracelets or watches for the e...

AI Technical Summary

Problems solved by technology

[0002] In the smart elderly care system of home care or nursing homes, the anti-fall monitoring of the elderly either uses ground safety sensors or high-definition cameras to monitor the whole process. Using ground safety sensors for monitoring is likely to have inaccurate monitoring status, and there is no way to do real-time and accurate monitoring. Obtain the status of whether the elderly have fallen; however, the use of high-definition cameras for corresponding monitoring may lead to the exposure of the privacy of the elderly, which will bring great inconvenience to the life of the elderly

[0003] There is also the monitoring of some physiological characteristic data of the elderly by wearing corresponding smart monitoring bracelets or watches for the elderly, and these data will be directly connected to the corresponding medical service institutions; Determine the risk level of the elderly, and it is impossible to arrange the corresponding medical staff for treatment in time; thus resulting in the failure of the elderly to receive timely treatment or waste of corresponding medical resources

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