Fall detection positioning method and device based on attitude angle

Abstract

The invention discloses a fall detection positioning method and device based on an attitude angle. The device comprises wearing bands which are respectively nested on a wrist and an ankle, attitude angle acquisition modules are fixed over the wearing belts; the number of the attitude angle acquisition modules is four. The attitude angle acquisition modules and a master control acquisition module are in wireless signal transmission; the master control acquisition module and a wireless signal receiving module carry out remote wireless signal transmission. The wireless signal receiving module iselectrically connected with a mobile phone receiving terminal; the master control acquisition module is composed of a two-half plastic shell. A clamping groove is formed in the rear portion of the plastic shell. The clamping groove is embedded in a belt, the falling track of the human body is accurately reproduced, misjudgment is avoided, multi-stage judgment is adopted, it is further guaranteed that misjudgment is avoided, a buzzer and an alarm lamp are controlled to be started in time when the human body falls down, passersby can help the falling human in time conveniently, family members ofthe falling one are remotely informed of the falling address, and the life safety is confirmed.

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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