A fall detection and positioning method and device based on attitude angle

Abstract

The invention discloses a fall detection and positioning method and device based on attitude angle, which includes wearing belts respectively nested on wrists and ankles, an attitude angle acquisition module is fixed above the wearing belt, and the attitude angle acquisition module There are four, the attitude angle acquisition module and the master control acquisition module are transmitted through wireless signals, the master control acquisition module and the wireless signal receiving module perform remote wireless signal transmission, and the wireless signal receiving module and the mobile phone receiving terminal pass through the electric Sexual connection, the master control acquisition module is composed of two halves of the plastic shell, the rear of the plastic shell is provided with a card slot, and the card slot is nested on the belt to accurately reproduce the trajectory of the human body falling, ensuring that there will be no In case of misjudgment, multi-level judgment is adopted to further ensure that there will be no misjudgment, and the buzzer and alarm light will be activated in time to facilitate passers-by to rescue in time.

Description

technical field [0001] The invention relates to the technical field of fall detection and positioning, in particular to a fall detection and positioning method and device based on an attitude angle. Background technique [0002] The elderly belong to the group prone to falls. Falling of the elderly has a high mortality rate and hospitalization rate, which has brought huge economic and social burdens to the people. Studies have shown that among the elderly over 65 years old in my country, there are quite a few People have fallen, and the incidence of falls increases with age, so timely rescue of the fallen elderly will greatly reduce the disability rate and mortality rate. [0003] In the prior art, human body fall detection is generally divided into two types based on vision and based on wearable sensors in terms of hardware. Among them, the method of human body fall detection based on vision is susceptible to inaccurate detection data due to the influence of the external en...

AI Technical Summary

Problems solved by technology

Among them, the method of human body fall detection based on vision is susceptible to inaccurate detection data due to the influence of the external environment, such as the influence of lighting conditions, occlusions and camera quality. In addition, due to the limited monitoring area of ​​the camera, the monitored elderly The range of activities is limited, and the use of wearable sensors is often unscientific in the invention and design. When realizing short-distance wireless communication, the accuracy of signal reception cannot be guaranteed. Most of them use a single sensor for detection, which is easy to cause misjudgment. Inverting the trajectory will further increase the misjudgment. If multi-level judgment is not adopted, further misjudgment will occur. If you fall down, you will not be able to respond in time, and it will be inconvenient for passers-by to provide timely rescue.

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