Smartphone-based real-time falling detection system and method

Abstract

The invention discloses a smartphone-based real-time falling detection system and method. The smartphone-based real-time falling detection method comprises steps of collecting the human body three-dimensional accelerated speed ax, ay and az output from an acceleration sensor and collecting the human body three-dimensional angular speed wx, wy and wz output from a gyroscope; starting a timer with the time preset to be at t0 when the resultant acceleration A which is corresponding to the t moment is larger than the preset resultant acceleration threshold value AT and the resultant angular speed w which is corresponding to the t moment is larger than the preset resultant angular speed threshold value WT and computing the similarity S according to a resultant angular speed discrete data point set C and a fitting discrete data point set N obtained through fitting within the time period from t-t0 to t +t0 when the resultant acceleration A which is corresponding to sampling in every time within the time period t to t + t0 is less than the resultant speed threshold value AT; when the similarity S is larger than the preset similarity threshold value ST, a person with a smartphone is judged to fall down and the police is called according to the set alarm mode. The smartphone-based real time falling detection method has the advantages of being low in achievement cost, high in detection accuracy, good in real-time effect and good in application prospect.

Description

technical field [0001] The invention relates to human body fall detection technology, in particular to a smart phone-based real-time fall detection system and a corresponding detection method. Background technique [0002] Falls are the fourth leading cause of injury death in our country and the first among seniors 65 and older. The death rate from falls in the elderly increases sharply with age. In addition to causing the death of the elderly, falls also cause a large number of disabilities and affect the physical and mental health of the elderly. For example, the fear of falling can reduce the activity ability of the elderly, restrict their range of activities, and reduce their quality of life. [0003] The injuries and medical costs caused by falls of the elderly depend not only on the impact on the body when they fall, but also largely on the length of rescue time. Quick response after a fall can reduce the damage to the body caused by the fall. Therefore, it is very...

AI Technical Summary

Problems solved by technology

[0005] The invention proposes a smart phone-based real-time fall detection system and corresponding detection method to solve the technical problems of high implementation cost, inconvenient use and difficulty in popularization and use of the current fall detection device

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