CN112233375B

CN112233375B - APP use habit change early warning method, terminal, old people monitoring method and system

Info

Publication number: CN112233375B
Application number: CN202011095531.5A
Authority: CN
Inventors: 邵文奇
Original assignee: Chongqing Blue Bank Communication Technology Co Ltd
Current assignee: Chongqing Lanan Technology Co ltd
Priority date: 2020-10-13
Filing date: 2020-10-13
Publication date: 2022-02-11
Anticipated expiration: 2040-10-13
Also published as: CN112233375A

Abstract

The invention discloses an APP use habit change early warning method, a terminal, an old people monitoring method and an APP use habit change early warning system. The method comprises the following steps: s1, setting K time points in a day; s2, obtaining the APP name used by the user at the current time point, judging whether the APP name belongs to the APP name set associated with the current time point or not, if not, giving an alarm prompt, and if the APP name belongs to the APP name set associated with the current time point, returning to execute S2; can be based on the mobile phone APP of the recent N days of user uses data, carry out accurate monitoring to the current habit of using mobile phone APP of user, the suggestion of reporting to the police when using mobile phone APP habit to appear unusually, this APP uses habit monitoring methods, and the algorithm is simple, and the acquisition user that can be quick accurate uses the habit change, reports to the police.

Description

APP use habit change early warning method, terminal, old people monitoring method and system

Technical Field

The invention relates to the field of safety monitoring of old people, in particular to an APP use habit change early warning method, a terminal, an old people monitoring method and a system.

Background

Smart phones are now becoming more and more popular, and a plurality of APPs (applications) are loaded on smart phones, and many old people have used smart phones, and like to use APPs such as jitters, WeChats, and playing cards. The empty nest condition is serious today, some old and children are not leading to father and mother to be unexpected by oneself, perhaps unconventional phenomenon can't in time report to the police ', unconventional phenomenon indicates that the old man uses the cell-phone custom to change, the old man uses the cell-phone custom to change including using the new APP that has not loaded, or use the time variation of APP etc. representing old man's habit of living changes, need children to arouse to attach attention, in time care old man health and psychology, avoid the loss of property that charges fraud APP etc. lead to.

Disclosure of Invention

The invention aims to at least solve the technical problems in the prior art, and particularly innovatively provides a method for early warning the use habit change of a mobile phone user, a terminal, a method for monitoring the old and a system.

In order to achieve the above object, according to a first aspect of the present invention, there is provided an APP usage habit change warning method, including: s1, setting K time points in a day; s2, obtaining an APP name used by a user at the current time point, judging whether the APP name belongs to an APP name set associated with the current time point, if not, giving an alarm prompt, and if the APP name belongs to the APP name set associated with the current time point, returning to execute S2, wherein K is a positive integer; the process of obtaining the APP name set associated with the time point comprises the following steps: the method comprises the steps of obtaining APP names used by a user every day in the last N days and the use time period of each APP, forming an APP name set by the names of all APPs used by the user in the N days at each time point, associating the time points with the APP name sets one by one, and enabling N to be a positive integer.

The technical scheme is as follows: can be based on the mobile phone APP of the recent N days of user uses data, carry out accurate monitoring to the current habit of using mobile phone APP of user, the suggestion of reporting to the police when using mobile phone APP habit to appear unusually, this APP uses habit monitoring methods, and the algorithm is simple, and the acquisition user that can be quick accurate uses the habit change, reports to the police.

In a preferred embodiment of the present invention, in S2, when the APP name belongs to the APP name set associated with the time point, the method further includes the following steps: a, for each time point, obtaining the use frequency of each APP in an APP name set associated with the time point in N days of the time point, and taking the use frequency as the use probability of the APP at the time point; establishing a two-dimensional coordinate system with a time point as an abscissa and a use probability as an ordinate; sequentially connecting the maximum use probability of each time point in a two-dimensional coordinate system to obtain a habit curve; and B, sequentially connecting the current time point and the actual APP usage probability of the time point before the current time point on the current day to obtain an actual curve, acquiring the deviation of the actual curve and the habit curve, returning to execute S2 when the deviation is smaller than a deviation threshold, and giving an alarm prompt when the deviation is larger than or equal to the deviation threshold.

The technical scheme is as follows: the method can detect more tiny APP use habit changes, such as forward movement or backward movement of the user common APP use time, and the like, and the user uses the uncommon APP in the associated APP name set at a certain time point.

In a preferred embodiment of the present invention, the set of APP names may contain a null element representing that the user does not use any APP.

The technical scheme is as follows: the APP name set is more complete, and the use habit of the mobile phone APP of the user can be more comprehensively detected.

In a preferred embodiment of the present invention, the cumulative usage duration of each APP in the last N days is counted, the APPs are sorted according to a sequence of the cumulative usage duration from large to small, an APP name set associated with a time point is obtained based on names and usage periods of the top M APPs in the sorting, and M is a positive integer.

The technical scheme is as follows: the operation data volume can be reduced, and the monitoring speed and efficiency are improved.

In order to achieve the above object, according to a second aspect of the present invention, the present invention provides a terminal loaded with multiple APPs, further comprising a processor, where the processor executes the APP usage habit change early warning method of the present invention to monitor the APP usage habits of a user.

The technical scheme is as follows: this terminal can be based on the mobile phone APP that the user was last N days uses data, accurately monitors the current habit of using mobile phone APP of user, reports to the police when using mobile phone APP habit to appear unusually, and this APP uses habit monitoring method, and the algorithm is simple, and the acquisition user that can be quick accurate uses the habit to change, reports to the police.

In order to achieve the above object, according to a third aspect of the present invention, there is provided an old people monitoring method including: the old man mobile phone executes the APP usage habit change early warning method, and sends the early warning prompt signal to the monitoring end when the early warning prompt signal is obtained.

The technical scheme is as follows: the method is based on the last N days of mobile phone APP usage data of the old people, the current habits of the old people in using the mobile phone APP are accurately monitored, alarm prompt is conducted when the habits of using the mobile phone APP are abnormal, the APP usage habit monitoring method is simple in algorithm, the usage habit change of the user can be rapidly and accurately obtained, an early warning prompt signal is reported to a monitoring end to give an alarm, the usage habit of the mobile phone APP of the old people can be conveniently and remotely monitored, the change of the living habits of the old people at the early warning monitoring end can be achieved, the health and the psychology of the old people can be timely concerned, and property loss caused by charge fraud APP and the like can be effectively avoided.

In a preferred embodiment of the present invention, the method further comprises a mode change monitoring step, the mode change monitoring step comprising: when the mute mode and/or the flight mode of the mobile phone of the old man are triggered and started, a change request is sent to the monitoring end, and the monitoring end sends a confirmation signal to the mobile phone of the old man to start the mute mode and/or the flight mode.

The technical scheme is as follows: the old people can not mistakenly operate and modify the mobile phone into a mute mode and/or a flight mode.

In a preferred embodiment of the present invention, the method further comprises a fall alarm step, wherein the fall alarm step comprises: whether a falling signal is output by a falling detection module of the mobile phone of the old man is detected in real time or regularly, when the duration time of the falling signal output by the falling detection module exceeds T1, the mobile phone of the old man starts a camera module to take a picture and sends an alarm signal, a position signal and a taken picture to a monitoring end, when the duration time of the falling signal output by the falling detection module does not exceed T1, the mobile phone of the old man does not send the alarm signal to the monitoring end, and T1 is larger than 0.

The technical scheme is as follows: the falling of the old people can be effectively detected, the falling alarm of the old people is subjected to redundant processing, the alarm is given when the falling signal duration exceeds T1, the false alarm caused by falling of the mobile phone of the old people can be effectively avoided, and the shooting photo and the position information are sent, so that the development of subsequent rescue work is facilitated.

In a preferred embodiment of the present invention, the method further comprises a safety region monitoring step, wherein the safety region monitoring step comprises: setting a safe position area of the mobile phone of the old man, acquiring the position of the mobile phone of the old man in real time or at intervals, judging whether the position of the mobile phone of the old man is located in the safe position area, if the position of the mobile phone of the old man is not located in the safe position area continuously for a time T2, sending an alarm signal to a monitoring end, otherwise, not sending the alarm signal to the monitoring end, wherein T2 is more than 0; and/or further comprising the steps of: if the monitoring end does not receive the alarm prompt when the duration of the mobile phone position information of the old people exceeds T3, wherein T3 is greater than 0; and/or further comprising the steps of: the method comprises the steps of obtaining the moving speed of the mobile phone of the old man according to position information continuously uploaded by the mobile phone of the old man, sending an alarm signal to a monitoring end when the moving speed reaches a speed threshold value, and otherwise not sending the alarm signal to the monitoring end.

The technical scheme is as follows: the activity area of the old is effectively monitored.

In order to achieve the above object, according to a fourth aspect of the present invention, the present invention provides an elderly monitoring system based on the elderly monitoring method according to the present invention, comprising an elderly mobile phone and a monitoring terminal; the monitoring end is in wireless connection with the mobile phone of the old man.

The technical scheme is as follows: the system can accurately monitor the current habit of using the mobile phone APP by the old based on the last N days of the old, and gives an alarm prompt when the habit of using the mobile phone APP is abnormal, the APP usage habit monitoring method has a simple algorithm, can quickly and accurately acquire the usage habit change of a user, and reports an early warning prompt signal to a monitoring end for alarming, so that the usage habit of the mobile phone APP by the old can be remotely monitored conveniently, the change of the living habit of the old at the monitoring end can be warned early, the body and the mind of the old can be concerned in time, and the property loss caused by charge fraud APP and the like can be effectively avoided; the old people cannot mistakenly operate and modify the mobile phone into a mute mode and/or a flight mode; the falling of the old people can be effectively detected, the redundant processing is carried out on the falling alarm of the old people, the alarm is carried out when the falling signal duration time exceeds T1, the false alarm caused by the falling of the mobile phone of the old people can be effectively avoided, and the shooting picture and the position information are sent, so that the development of the subsequent rescue work is facilitated; the activity area of the old is effectively monitored.

Drawings

Fig. 1 is a schematic flow chart of an APP usage habit change warning method according to an embodiment of the present invention;

fig. 2 is a flowchart illustrating an elderly monitoring method according to an embodiment of the present invention.

Detailed Description

Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.

In the description of the present invention, it is to be understood that the terms "longitudinal", "lateral", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, and are used merely for convenience of description and for simplicity of description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, are not to be construed as limiting the present invention.

In the description of the present invention, unless otherwise specified and limited, it is to be noted that the terms "mounted," "connected," and "connected" are to be interpreted broadly, and may be, for example, a mechanical connection or an electrical connection, a communication between two elements, a direct connection, or an indirect connection via an intermediate medium, and specific meanings of the terms may be understood by those skilled in the art according to specific situations.

The invention discloses an APP use habit change early warning method, which specifically comprises the following steps in a preferred embodiment as shown in figure 1:

s1, setting K time points in a day, where K is a positive integer, and setting K time points in all or part of a day, such as 5: 00 to night 22: k time points are set in the 00 time period; the K time points may be set at equal intervals or at unequal intervals, such as 8: 00 to 12: 00, and 2 pm: 00 to 5: 00 sets denser time points and other time periods set sparser time points, the interval of time points is preferably, but not limited to, 15 minutes.

S2, obtaining the APP name used by the user at the current time point, judging whether the APP name belongs to the APP name set associated with the current time point, if not, giving an early warning prompt, and if the APP name belongs to the APP name set associated with the current time point, returning to execute S2; each APP name set may contain at least one element, which may be a null element or an APP name, where the null element represents that the user does not use any APP. Obtaining the APP name used by the user at the current time point, and installing the program file (namely A) under the/data/APP directory in the mobile phone_package) And (4) obtaining.

The process of obtaining the APP name set associated with the time point comprises the following steps: the method comprises the steps of obtaining APP names used by a user every day in the last N days and the use time period of each APP, forming an APP name set by the names of all APPs used by the user in the last N days at each time point in the N days based on the APP names used by the user every day in the last N days and the use time period of each APP, and associating the time points with the APP name sets one by one, wherein N is a positive integer. N is preferably, but not limited to, 21. Based on the APP names of the last N days and the using time period data of each APP, the recent habits of the user are compared and judged, and habit changes can be found in time.

In a preferred embodiment, in S2, when the APP name belongs to the set of APP names associated at the time point, the method further includes the following steps:

step a, for each time point, obtaining the use frequency of each APP in the APP name set associated with the time point in N days of the time point, and taking the use frequency as the use probability of the APP at the time point, that is, obtaining the use probability of each element (APP name or empty element) in each APP name set, for example, if in 21 days, 2 pm: 00 the number of days that the trembler was used was 15 days, then in 2 pm: 00 the probability of using the tremble in the APP name set associated with this time point is 15/21.

Establishing a two-dimensional coordinate system with a time point as a horizontal coordinate and a use probability as a vertical coordinate, wherein in the coordinate system, the horizontal axis is time and the vertical axis is the use probability;

sequentially connecting the maximum use probability of each time point in a two-dimensional coordinate system to obtain a habit curve, wherein the habit curve is a broken line of a plurality of line segments;

and step B, sequentially connecting the current time point and the use probabilities of the APPs actually used at the time points before the current time point on the current day to obtain an actual curve, namely obtaining the APPs actually used at all the time points before the current time point on the current day and the APP actually used at all the time points before the current time point on the current day, obtaining a plurality of discrete points in a two-dimensional coordinate system by using the APP use probabilities in the APP name sets to which the APPs belong, sequentially connecting the discrete points to obtain the actual curve, obtaining the deviation between the actual curve and the habit curve, returning to execute S2 when the deviation is less than a deviation threshold, and performing early warning prompt when the deviation is greater than or equal to the deviation threshold. The deviation is preferably, but not limited to, the maximum value of the ordinate difference of each time point on the actual curve and the habit curve, or the mean square error of the ordinate difference. The deviation threshold may be preset based on multiple tests.

In the embodiment, the APP use habit change can be early warned.

In a preferred embodiment, the accumulated use duration of each APP in the last N days is counted, the APPs are sorted according to the sequence of the accumulated use durations from large to small, an APP name set associated with a time point is obtained based on the names and use time periods of the top M APPs in the sorting, and M is a positive integer. M is preferably, but not limited to, 10.

The invention also discloses a terminal loaded with a plurality of APPs, and in a preferred embodiment, the terminal also comprises a processor, and the processor executes the APP use habit change early warning method to monitor the user APP use habits.

The invention also discloses an old people monitoring method, in a preferred embodiment, as shown in fig. 2, the method comprises the following steps: the old man mobile phone executes the APP use habit change early warning method, and when the early warning prompt signal is obtained, the early warning prompt signal is sent to the monitoring end. The monitoring terminal is preferably but not limited to mobile phones of the old, the children and the young.

In a preferred embodiment, the method further comprises a mode change monitoring step, the mode change monitoring step comprising: when the mute mode and/or the flight mode of the mobile phone of the old man are triggered and started, a change request is sent to the monitoring end, and the monitoring end sends a confirmation signal to the mobile phone of the old man to start the mute mode and/or the flight mode. In the present embodiment, it is preferable, but not limited to, to determine whether the mute Mode and/or the flight Mode of the elder mobile phone is triggered based on the state of the variable Broadcast Message in the slot Mode & Air Mode file in the setting directory of the elder mobile phone.

In a preferred embodiment, the method further comprises a fall alarm step, wherein the fall alarm step comprises: whether a falling signal is output by a falling detection module of the mobile phone of the old man is detected in real time or regularly, when the duration time of the falling signal output by the falling detection module exceeds T1, the mobile phone of the old man starts a camera module to take a picture and sends an alarm signal, a position signal and a taken picture to a monitoring end, when the duration time of the falling signal output by the falling detection module does not exceed T1, the mobile phone of the old man does not send the alarm signal to the monitoring end, and T1 is larger than 0.

In this embodiment, the fall detection module detects a vertical distance between the mobile phone and the ground, and when the vertical distance is smaller than a distance threshold, the mobile phone is considered to fall, and sends a fall signal.

In a preferred embodiment, the method further comprises a safety region monitoring step, wherein the safety region monitoring step comprises: setting a safety position area of the mobile phone of the old man, acquiring the position of the mobile phone of the old man in real time or at intervals, judging whether the position of the mobile phone of the old man is located in the safety position area, if the position of the mobile phone of the old man is not continuously located in the safety position area for exceeding the time T2, sending an alarm signal to a monitoring end, otherwise, not sending the alarm signal to the monitoring end, wherein T2 is larger than 0.

In the present embodiment, the mobile phone location of the old is preferably, but not limited to, GPS location information.

In this embodiment, it is preferable that a deviation distance threshold is set, when the mobile phone position of the elderly person is not in the safe position area and the distance exceeding the safe position area reaches the deviation distance threshold, an alarm signal is sent out, and if the mobile phone position of the elderly person is not in the safe position area but the distance exceeding the safe position area does not reach the deviation distance threshold, the alarm signal is not sent out.

In a preferred embodiment, the method further comprises the following steps: and if the monitoring end does not receive the old mobile phone position information and the duration time exceeds T3, carrying out alarm prompt, wherein T3 is greater than 0.

In a preferred embodiment, the method further comprises the following steps: and acquiring the moving speed of the mobile phone of the old man according to the position information continuously uploaded by the mobile phone of the old man, and sending an alarm signal to the monitoring terminal when the moving speed reaches a speed threshold value, or not sending the alarm signal to the monitoring terminal.

In the present embodiment, the speed threshold is preferably, but not limited to, 5 km/hour, 10 km/hour, 12 km/hour.

In an application scenario of the monitoring method for the elderly people of the present invention, as shown in fig. 2, a danger degree level is set for alarm signals such as APP usage habit early warning signals, fall alarm signals, offline safety region alarm signals, and the like, and when a plurality of alarm signals or early warning signals occur simultaneously, the alarm signal with the highest danger level is uploaded. The invention also discloses an old people monitoring system based on the old people monitoring method, and in a preferred embodiment, the system comprises an old people mobile phone and a monitoring terminal; the monitoring terminal is in wireless connection with the mobile phone of the old. The mobile phone of the old man is provided with a GPS position navigation module, a falling detection module and other APPs such as a trembler, a WeChat and the like.

In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims

1. An APP use habit change early warning method is characterized by comprising the following steps:

s1, setting K time points in a day, wherein K is a positive integer;

s2, obtaining an APP name used by a user at the current time point, judging whether the APP name belongs to an APP name set associated with the current time point, if the APP name does not belong to the APP name set associated with the current time point, performing early warning prompt, and if the APP name belongs to the APP name set associated with the current time point, returning to execute S2;

the process of obtaining the APP name set associated with the time point comprises the following steps:

acquiring APP names used by a user every day in the last N days and the use time period of each APP, forming an APP name set by the names of all APPs used by the user in the N days at each time point, and associating the time points with the APP name sets one by one, wherein N is a positive integer;

in S2, when the APP name belongs to the set of APP names associated with the time point, the method further includes:

a, for each time point, obtaining the use frequency of each APP in an APP name set associated with the time point in N days of the time point, and taking the use frequency as the use probability of the APP at the time point;

establishing a two-dimensional coordinate system with a time point as an abscissa and a use probability as an ordinate;

sequentially connecting the maximum use probability of each time point in a two-dimensional coordinate system to obtain a habit curve;

and B, sequentially connecting the current time point and the actual APP usage probability of the time point before the current time point on the current day to obtain an actual curve, acquiring the deviation of the actual curve and the habit curve, returning to execute S2 when the deviation is smaller than a deviation threshold, and performing early warning prompt when the deviation is larger than or equal to the deviation threshold.

2. The APP usage habit change warning method of claim 1, wherein the APP name set may contain null elements that represent that the user does not use any APP.

3. The APP use habit change early warning method of claim 1, characterized by counting the cumulative use duration of each APP in the last N days, sorting the APPs according to the sequence of the cumulative use durations from large to small, and obtaining an APP name set associated with a time point based on the names and use time periods of the first M APPs in the sorting, wherein M is a positive integer.

4. A terminal loaded with a plurality of APPs, characterized by further comprising a processor, wherein the processor executes the APP usage habit change early warning method of any one of claims 1 to 3 to monitor the user APP usage habits.

5. An old people monitoring method is characterized by comprising the following steps:

the old man mobile phone executes the APP usage habit change early warning method according to claim 1 or 2, and sends the early warning prompt signal to the monitoring end when the early warning prompt signal is obtained.

6. The geriatric monitoring method of claim 5, further comprising a mode change monitoring step, the mode change monitoring step comprising:

when the mute mode and/or the flight mode of the mobile phone of the old man are triggered and started, a change request is sent to the monitoring end, and the monitoring end sends a confirmation signal to the mobile phone of the old man to start the mute mode and/or the flight mode.

7. The elderly care method of claim 5, further comprising a fall alarm step, wherein the fall alarm step comprises:

whether a falling signal is output by a falling detection module of the mobile phone of the old man is detected in real time or regularly, when the duration time of the falling signal output by the falling detection module exceeds T1, the mobile phone of the old man starts a camera module to take a picture and sends an alarm signal, a position signal and a taken picture to a monitoring end, when the duration time of the falling signal output by the falling detection module does not exceed T1, the mobile phone of the old man does not send the alarm signal to the monitoring end, and T1 is larger than 0.

8. The geriatric monitoring method of claim 5, further comprising a safe zone monitoring step, the safe zone monitoring step comprising:

setting a safe position area of the mobile phone of the old man, acquiring the position of the mobile phone of the old man in real time or at intervals, judging whether the position of the mobile phone of the old man is located in the safe position area, if the position of the mobile phone of the old man is not located in the safe position area continuously for a time T2, sending an alarm signal to a monitoring end, otherwise, not sending the alarm signal to the monitoring end, wherein T2 is more than 0;

and/or further comprising the steps of:

if the monitoring end does not receive the alarm prompt when the duration of the mobile phone position information of the old people exceeds T3, wherein T3 is greater than 0;

and/or further comprising the steps of:

the method comprises the steps of obtaining the moving speed of the mobile phone of the old man according to position information continuously uploaded by the mobile phone of the old man, sending an alarm signal to a monitoring end when the moving speed reaches a speed threshold value, and otherwise not sending the alarm signal to the monitoring end.

9. An elderly monitoring system based on the elderly monitoring method according to any of claims 5-8, comprising an elderly mobile phone and a monitoring terminal; the monitoring end is in wireless connection with the mobile phone of the old man.