Self-adaption multistage falling-down detection method
A detection method and self-adaptive technology, applied in the direction of instruments, alarms, etc., can solve the problem that high-frequency remote sensing time series cannot be effectively reconstructed, so as to improve the recognition rate of positive cases, reduce misjudgments and omissions, and improve reliability Effect
Active Publication Date: 2017-07-18
ZHEJIANG UNIV CITY COLLEGE
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[0003] This invention aims at the disadvantage that the existing technology cannot effectively reconstruct the high-frequency remote sensing time series, and proposes an adaptive multi-level fall detection method that can better adapt to the user's characteristics
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[0053] The present invention will be further described below in conjunction with the examples. The description of the following examples is provided only to aid the understanding of the present invention. It should be pointed out that for those skilled in the art, without departing from the principle of the present invention, some improvements and modifications can be made to the present invention, and these improvements and modifications also fall within the protection scope of the claims of the present invention.
[0054] To model a human fall, we can divide it into three phases, namely the weightlessness phase, the impact phase and the static phase. When in the weightlessness stage, the triaxial acceleration amplitude vector M of the human body will change significantly, and the duration of the change is determined by the height of the human body; in the impact stage, M will change instantaneously and violently, accompanied by corresponding energy loss; fall and impact Aft...
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The invention relates to a self-adaption multistage falling-down detection method. According to the invention, dispersive eigenvalues are extracted through a sliding window, an optimal discrete characteristic combination is finally formed through experiments, a cost sensitivity concept is introduced, probability output SVM is employed as a classification algorithm, and the positive example recognition rate of the falling-down algorithm is increased. At the same time, the reliability of the output result is improved by means of multistage falling-down determination, the probability of generating misjudgement and omission in the determination algorithm can be reduced as much as possible, and the system has a self-adaption capability in dependence on the user characteristic. The data acquisition and processing processes are both completed on a smart phone, the hardware platform, i.e., the smart phone is fully utilized, the usage cost is reduced, and the smart phone is convenient to carry.
Description
technical field [0001] The invention relates to a fall detection method, in particular to an adaptive multi-level fall detection method. Background technique [0002] At present, my country has entered an aging society and is showing a trend of accelerated development. More and more people are paying attention to the mobility safety of the elderly. Since the functions of various organs and organs of the elderly are in the degeneration stage, an accidental fall may cause fatal injury. In the event of a fall, timely and accurate fall detection and alarm can win valuable time for rescue and treatment, which is of great significance for protecting the health of users and improving the level of medical monitoring. With the popularity of smart phones and the development of highly integrated sensors and processors, the use of smart phones to carry out fall detection has the characteristics of low cost, practicability, and stability. Contents of the invention [0003] This inven...
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Login to View More IPC IPC(8): G08B21/04
CPCG08B21/0461
Inventor 陈国宏郑腾
Owner ZHEJIANG UNIV CITY COLLEGE