Method and terminal for detecting human body tumble

Abstract

The invention discloses a method and a terminal for detecting the human body tumble, wherein the method comprises the steps that the detecting terminal tracks a human body moving signal and calculates the human body moving velocity; when the human body moving velocity is greater than a set value, the timing is started, and in addition, the human body moving signal is tracked; when a vibration signal is detected in the specified time and the human body moving signal disappearing is tracked, the generation of tumble is judged; when the vibration signal is not detected in the specified time, or the vibration signal is detected but the human body moving signal disappearing is not tracked, no generation of tumble is judged. The method and the terminal for detecting the human body tumble has the advantages that through the combination of human body moving velocity detection, the vibration detection and the human body signal tracking, whether the human body tumble is generated or not can be accurately judged, in addition, a user do not need to carry any auxiliary equipment, and convenience is brought for the indoor use by the user in a bedroom, a bathroom and the like.

Description

technical field [0001] The invention relates to the field of electronic detection of human falls, in particular to a method and terminal for detecting human falls. Background technique [0002] Studies have shown that the incidence of falls among the elderly aged 65 to 80 within one year is between 30% and 40%. Indoor falls pose serious harm to people, cause direct physical damage, and seriously affect the quality of life of the injured. It is also difficult for a user who wears a fall device to truly and accurately identify a fall of a human body. For example, it is popular to use a gravity acceleration sensor or a three-dimensional acceleration sensor to detect falls. The accurate recognition rate is low, and there are many false alarms. At the same time, the user must carry the fall detection device with him, which is inconvenient to use in the bedroom or bathroom. [0003] There is also a fall detection system based on pyroelectric infrared, which measures the moving st...

AI Technical Summary

Problems solved by technology

[0002] Studies have shown that the incidence of falls among the elderly aged 65 to 80 within one year is between 30% and 40%. Indoor falls pose serious harm to people, cause direct physical damage, and seriously affect the quality of life of the injured. It is also difficult for users who wear a fall device to truly and accurately identify the fall of the human body

For example, it is popular to use a gravity acceleration sensor or a three-dimensional acceleration sensor to detect falls. The accurate recognition rate is low, and there are many false alarms. At the same time, the user must carry the fall detection device with him, which is inconvenient to use in the bedroom or bathroom.

[0003] There is also a fall detection system based on pyroelectric infrared, which measures the moving state of the upper and lower parts of the human body through two pyroelectric infrared sensors, combined with the hidden Markov model HMM, to calculate whether the human body has fallen, although it can provide a fall Accurate detection, but there is complex analysis and calculation, currently only suitable for the use of models in laboratories

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