Method and system for quickly detecting fall in showering

Abstract

The invention provides a method and system for quickly detecting fall in showering. The method comprises the following steps: continuously performing observation for multiple times and respectively calculating power spectral density sum in a body movement frequency observation range of each time of observation; and performing pre-alarm of falling by comparing the density sum with a power density sum threshold value in falling and after falling, and performing falling confirmation by comparing power spectral density in the respiratory rate observation range with obtained echo interference levelunder a corresponding condition. The method is suitable for non-contact non-visual fall detection, does not influence normal activities, does not invade personal privacy, greatly improves the detection practicability, and has extremely high popularization value.

Description

technical field [0001] The present disclosure relates to the technical field of fall detection, in particular to a rapid detection method and system for falls in a shower. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] Falling in the shower is a very dangerous, sudden and imperceptible abnormal situation, and may even induce heart and brain diseases. In the research of smart medical care equipment and devices, the detection of shower falls will also receive much attention. [0004] The inventors of the present disclosure found that most of the existing fall detectors use wearable (bracelet) or visual methods. The wristband has the function of monitoring heart rate and blood pressure. The ability is poor, and the accuracy of the drop alarm is low. The visual method uses a small camera and fast image processing method, but it is easily...

AI Technical Summary

Problems solved by technology

[0004] The inventors of the present disclosure found that most of the existing fall detectors use wearable (bracelet) or visual methods. The wristband has the function of monitoring heart rate and blood pressure. Poor capability, low drop alarm accuracy

The visual method uses a small camera and fast image processing method, but it is easily affected by the environment, not suitable for the shower scene, and there are suspicions of invasion of privacy

Whether the method of lying in bed uses a pressure-sensitive mattress, the cost is high, and the fall cannot be detected

Respiratory activity detection uses contact instruments, which affect normal activities and are not suitable for long-term use in nursing homes or at home

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