Fall detection method and device

Abstract

The embodiment of the invention belongs to the technical field of fall detection, and relates to a fall detection method and device. According to the technical scheme provided by the invention, the method comprises the following steps: determining a preset threshold value of measurement data when a user falls down according to the measurement data detected by detection equipment worn by the user;detecting real-time measurement data by utilizing at least one sensor, and continuously comparing the real-time measurement data with a preset threshold value; when the real-time measurement data exceeds a preset threshold value, triggering fall determination, through the fall-down detection equipment worn on the body of a user, setting a preset threshold value of the measurement data when the user falls down according to the measurement data detected when the user falls down; when the user wears the fall-down detection equipment, detecting the use state continuously to obtain real-time measurement data, then continuously comparing the real-time measurement data with a preset threshold value, and when the real-time measurement data exceeds the preset threshold value, trigging the fall-downjudgment, so accurate and timely fall-down detection can be carried out on the user.

Description

technical field [0001] The present application relates to fall detection technology, and more specifically, to a fall detection method and equipment. Background technique [0002] As society ages, it is becoming more and more common for the elderly to live alone. Whether for the family or for the society, the health of the elderly is an urgent problem to be solved. Because the functions of all parts of the body are degenerating, the elderly are prone to falls, and the occurrence of falls will cause immeasurable damage to the elderly's body and mind. Therefore, it is of great practical significance to detect the falls of the elderly. [0003] The existing fall detection method based on video images can intelligently judge whether the monitored object has fallen through the video monitoring system, and can promptly report to relevant personnel and take remedial measures in time to reduce unnecessary loss of life and property. Domestic research on intelligent video surveilla...

AI Technical Summary

Problems solved by technology

Domestic research on intelligent video surveillance is still in its infancy. The surveillance system needs to be on duty for a long time, which consumes valuable human resources. Long-term monitoring will cause visual fatigue and decreased attention of the monitor, and it is prone to missed detection.

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