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Self-adaptive algorithm-based motion alarm method and motion alarm device

An adaptive algorithm and motion technology, applied in the field of communication, can solve problems such as insufficient analysis basis, insufficient accuracy of user motion state determination, and weak individual adaptability

Active Publication Date: 2016-11-09
张家口浩源电子科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, this application provides a motion alarm method based on an adaptive algorithm, which is used to solve the problem of insufficient accuracy in judging the user's motion state in the prior art, poor individual adaptability, and inability to act as a warning for self-falling, being hit by someone, etc. Technical Issues of Effective Analysis Basis for Inverse Situation

Method used

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  • Self-adaptive algorithm-based motion alarm method and motion alarm device
  • Self-adaptive algorithm-based motion alarm method and motion alarm device
  • Self-adaptive algorithm-based motion alarm method and motion alarm device

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Embodiment 1

[0054] figure 1 A schematic flow chart of a motion alarm method based on an adaptive algorithm provided in Embodiment 1 of the present invention, as shown in figure 1 shown, including:

[0055] Step S0, using sensors to pre-collect movement data of the athlete, and establishing a characteristic model of the athlete.

[0056] Specifically, the feature model described in step S0 is represented by the following formula:

[0057] y 1 , t y 2 , t ... y m , t ...

Embodiment 2

[0072] figure 2 It is the second embodiment of the present invention, the method in the second embodiment is different from the method steps S0 and S2 in the first embodiment, and the steps S1, S3, and S4 are the same as those in the first embodiment, so the details will not be repeated. Wherein step S0 comprises following sub-steps:

[0073] Step S01, use the sensor to pre-collect the movement data of the athlete, and pre-classify it. For example, the pre-classification can be classified according to the different movement speeds of the athlete, and can be divided into slow walking, fast walking, jogging and fast running, and then for various sports State, to obtain the sports feature data of the athlete in different sports states, thus forming multiple pre-classified groups.

[0074] Specifically, one or more exercise state pre-classifications may be selected according to the physical condition of the athlete.

[0075] Step S02, for each pre-categorization group, establis...

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Abstract

The invention provides a self-adaptive algorithm-based motion alarm method. The method comprises the following steps: 1, obtaining motion data through using a sensor; 2, judging that whether motion abnormity exists or not according to the motion data; 3, locating the position of the sporter if the motion abnormity exists; and 4, emitting an alarm signal, and sending the position information of the sporter. The motion alarm method records and analyzes the daily running locus of the sporter by using a self-adaptive algorithm in order to adapt to the individual difference behavior sequence of every sporter, so increase of the alarm precision is facilitated. When the motion state abnormity is formed due to the abnormity of one part of the body of the sporter, the algorithm automatically generates a motion correction sequence in order to improve the adaptability and solve the problem of low precision of present motion alarms, so when the sporter has motion state abnormity, the motion data and the position information of the sporter are timely and accurately transmitted to assigned personnel.

Description

technical field [0001] The present application relates to the communication field, in particular to a motion alarm method based on an adaptive algorithm and a motion alarm device. Background technique [0002] As our country enters an aging society, the probability of falling due to accidents or sudden diseases in the daily life of the elderly is increasing year by year. If they are not detected and rescued in time, it may cause life-threatening, so it has become an urgent problem to be solved. question. [0003] However, the existing motion alarm devices are not accurate enough in fall detection and often have false alarms. Although they are highly versatile, they do not have enough awareness of the specific motion state of a specific user, resulting in poor individual adaptability. And it can only be used as a fall alarm, and cannot be used as an effective analysis basis for situations such as self-falling and being knocked down by others. Therefore, there is currently a...

Claims

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Application Information

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IPC IPC(8): G01C23/00G06K9/62
CPCG01C23/00G06F18/24
Inventor 康洪波司亚超赵建光李恩龙
Owner 张家口浩源电子科技有限公司