CN105662394A - Method and device for prompting information to users - Google Patents
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- CN105662394A CN105662394A CN201410676361.8A CN201410676361A CN105662394A CN 105662394 A CN105662394 A CN 105662394A CN 201410676361 A CN201410676361 A CN 201410676361A CN 105662394 A CN105662394 A CN 105662394A
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Abstract
The invention puts forwards a method and a device for prompting information to users, relating to the field of mobile health. The method comprises following steps: obtaining three-dimensional behavioral models of users; and determining current three-dimensional behavioral models and continuing time of users and generating relevant reminders by matching the pre-set rules based on users' behavior suggestions corresponding to the matching rules. The three-dimensional behavioral model comprises users' sleeping behaviors, users' motion behaviors and users' mobile terminal usage behaviors. The method for prompting information to users obtains users' mobile terminal usage behaviors, motion behaviors and sleeping behaviors for matching by collecting metadata of a mobile terminal, motion data and sleeping data and is capable of generating relevant reminders for users according to matching of current behaviors and pre-set rules.
Description
Technical field
The present invention relates to mobile health field, particularly relate to a kind of method to user's information and device.
Background technology
Mobile health service covers the patient pathway from rehabilitation health-promoting, chronic diseases management, diseases monitoring/intervention to institute. Wherein, the service of health-promoting class, mainly through quantizing oneself and mode of life monitoring, helps user to make the life better mode, it is to increase health level.
It is in the patent " a kind of motion system for prompting based on Human Physiology information acquisition and method " of 201310474400.1 at application number, discloses a kind of motion system for prompting based on Human Physiology information acquisition and method. By gathering Human Physiology information, judge whether to be in kinestate and sleep state, and in the way of timing, remind for user pushes motion. But, this invention is only based on health data, it does not have consider in conjunction with mobile phone metadata, generates the motion that more effective, user more likely complys with and reminds, simultaneously, it does not have on the basis that motion is reminded, generates mode of life improving countermeasure further.
Summary of the invention
The object of the embodiment of the present invention is to provide a kind of method to user's information and device, according to the behavior relevant prompting for user generates collecting user in real time, reminds the healthy living prompting relevant information for user based on long-term being correlated with.
In order to achieve the above object, embodiments provide a kind of method to user's information, comprising:
Obtaining the three-dimensional behavior pattern of user, the three-dimensional behavior pattern of described user comprises user's sleeping behavior, user movement behavior and customer mobile terminal usage behavior;
Determine the three-dimensional behavior pattern that user is current and time length thereof, and mate mutually with preset rules, and the user's behavior recommendation corresponding to the rule matched, generate relevant prompting.
Wherein, the three-dimensional behavior pattern of described acquisition user, comprising:
Gather the mobile terminal metadata of the electrocardiogram (ECG) data of user, exercise data and user;
Electrocardiogram (ECG) data according to the user collected, it is determined that the sleeping behavior that user is current, described sleeping behavior at least comprises sleep behavior and clear-headed behavior;
Exercise data according to the user collected, it is determined that the motor behavior that user is current, described motor behavior comprises dynamic behaviour and static behavior;
Mobile terminal metadata according to the user collected, it is determined that user's current mobile terminal usage behavior, described mobile terminal usage behavior comprises: busy behavior and idle behavior.
Wherein, described preset rules comprises:
When mobile terminal usage behavior is busy behavior, when it is lasting, length exceeds preset duration, and current time is default length of one's sleep, then corresponding user's behavior recommendation is sleep suggestion;
When mobile terminal usage behavior is busy behavior, when it is lasting, length exceeds preset duration, and current time is default non-sleep time, then corresponding user's behavior recommendation is exercise suggestion.
Wherein, described relevant prompting has different ranks, and the prompting of different stage has different initial weights, if reminding the behavior pattern of the user behavior pattern determined in the preset time period after generating prompting suggestion relevant to this to be consistent relevant, then this relevant initial weight reminded is increased.
Where it is determined that the current three-dimensional behavior pattern of user and time length thereof, and mate mutually with preset rules, and after generating relevant prompting according to the regular corresponding user's behavior recommendation matched, described method also comprises:
The three-dimensional behavior pattern in user's each moment and all relevant prompting of generation in statistics preset number of days;
Calculate each class in preset number of days be correlated with the weights reminded and promptings relevant to each class in same time intervals all in preset number of days weights with, wherein time interval described in each has identical preset length;
Relatively in all same default time intervals of preset number of days, each class is correlated with the ratio of weights sum of the weights reminded and prompting relevant to kind corresponding in preset number of days and the size of predetermined threshold value, if the be correlated with ratio of weights sum of the weights reminded and promptings relevant to kind corresponding in preset number of days of each class is greater than predetermined threshold value in same time interval in preset number of days, then this time interval is set to the time of user's behavior that such relevant prompting is advised.
In order to achieve the above object, the embodiment of the present invention additionally provides a kind of device to user's information, comprising:
Acquisition module, for obtaining the three-dimensional behavior pattern of user, the three-dimensional behavior pattern of described user comprises user's sleeping behavior, user movement behavior and customer mobile terminal usage behavior;
Processing module, for determining the three-dimensional behavior pattern that user is current and time length thereof, and mates mutually with preset rules, and the user's behavior recommendation corresponding to the rule matched, generate relevant prompting.
Wherein, described acquisition module comprises:
Gather submodule block, gather the mobile terminal metadata of the electrocardiogram (ECG) data of user, exercise data and user;
First true stator modules, according to the electrocardiogram (ECG) data of the user collected, it is determined that the sleeping behavior that user is current, described sleeping behavior at least comprises sleep behavior and clear-headed behavior;
2nd true stator modules, according to the exercise data of the user collected, it is determined that the motor behavior that user is current, described motor behavior comprises dynamic behaviour and static behavior;
3rd true stator modules, according to the mobile terminal metadata of the user collected, it is determined that user's current mobile terminal usage behavior, described mobile terminal usage behavior comprises: busy behavior and idle behavior.
Wherein, described preset rules comprises:
When mobile terminal usage behavior is busy behavior, when it is lasting, length exceeds preset duration, and current time is default length of one's sleep, then corresponding user's behavior recommendation is sleep suggestion;
When mobile terminal usage behavior is busy behavior, when it is lasting, length exceeds preset duration, and current time is default run duration, then corresponding user's behavior recommendation is exercise suggestion.
Wherein, described relevant prompting has different ranks, and the prompting of different stage has different initial weights, if reminding the behavior pattern of the user behavior pattern determined in the preset time period after generating prompting suggestion relevant to this to be consistent relevant, then this relevant initial weight reminded is increased.
Wherein, described device also comprises:
Statistics module, for all relevant prompting of the three-dimensional behavior pattern and generation of adding up each moment of user in preset number of days;
Calculate module, for calculate each kind in preset number of days be correlated with remind weights and promptings relevant to each kind in same time intervals all in preset number of days weights with, wherein time interval described in each has identical preset length;
Comparison module, for comparing weights and the ratio of weights sum of prompting relevant to kind corresponding in preset number of days and the size of predetermined threshold value that each class in all same default time intervals of preset number of days is correlated with and is reminded, if the be correlated with ratio of weights sum of the weights reminded and promptings relevant to kind corresponding in preset number of days of each class is greater than predetermined threshold value in same time interval in preset number of days, then this time interval is set to the time of user's behavior that such relevant prompting is advised.
The invention has the beneficial effects as follows: provided by the invention to the method for user's information by real-time collection analysis mobile terminal metadata, exercise data and dormant data, obtain customer mobile terminal usage behavior, motor behavior and sleeping behavior in real time, and by triplicity, mate with current behavior time length and presetting rule according to user's current behavior, the user behavior recommendation corresponding according to the rule matched, for user generates relevant prompting.
According to the three-dimensional behavior pattern of user and the relevant prompting of generation in statistics for some time, it is achieved user to be formed the prompting that long-term mode of life is improved.
Accompanying drawing explanation
Fig. 1 is the flow chart of steps of the method to user's information described in the embodiment of the present invention;
Fig. 2 is the structural representation of the device to user's information described in the embodiment of the present invention.
Embodiment
For making the technical problem to be solved in the present invention, technical scheme and advantage clearly, it is described in detail below in conjunction with the accompanying drawings and the specific embodiments.
As shown in Figure 1, embodiments provide a kind of method to user's information, comprising:
Step 11, obtains the three-dimensional behavior pattern of user, and described three-dimensional behavior pattern comprises user's sleeping behavior, user movement behavior and customer mobile terminal usage behavior;
Step 12, it is determined that the three-dimensional behavior pattern that user is current and time length thereof, and mate mutually with preset rules, and the user's behavior recommendation corresponding to the rule matched, generate relevant prompting.
In a particular embodiment of the present invention, can selection of land, the relevant prompting generated comprises motion and reminds and sleep prompting, and the relevant prompting generated has several different ranks, in conjunction with sleeping behavior, motor behavior and customer mobile terminal usage behavior, it is achieved classification campaign timely is reminded and sleep is reminded.
In the above embodiment of the present invention, obtain the three-dimensional behavior pattern of user and comprise:
Gather the mobile terminal metadata of the electrocardiogram (ECG) data of user, exercise data and user.
Electrocardiogram (ECG) data according to the user collected, it is determined that the sleeping behavior that user is current, described sleeping behavior at least comprises sleep behavior and clear-headed behavior.
Exercise data according to the user collected, determine the motor behavior that user is current, described motor behavior comprises dynamic behaviour and static behavior, more specifically, dynamic behaviour can comprise again the behavior such as walking behavior, by bike behavior, exercise behavior, dynamic behaviour can comprise again the behavior such as static behavior and the behavior of riding, and the main difference between these behaviors is embodied on the acceleration of user.
Mobile terminal metadata according to the user collected, determine user's current mobile terminal usage behavior, described mobile terminal usage behavior comprises: busy behavior and idle behavior, more specifically, busy behavior can comprise again the behaviors such as call behavior, internet behavior and game behavior.
In a particular embodiment of the present invention, the current sleeping behavior of user is the original electrocardiographicdigital data gathered based on electrocardio node, and the phase between QRS wave and RR of extracting is analyzed and draws. The current motor behavior of user is the original motion data gathered based on movement node, and such as acceleration information, the Algorithm Analysis such as employing activity frequency analysis, KNN classification draw. The specific algorithm of above behavioural analysis can with reference to realization of the prior art, and the present invention is not specifically limited. In addition, mobile terminal usage behavior then can obtain the metadata of mobile terminal according to mobile communication system, and such as, the state data such as the call state of terminal, data connection state, analyze the usage behavior obtaining terminal.
In the above embodiment of the present invention, preset rules comprises:
When mobile terminal usage behavior is defined as busy behavior, when it is lasting, length exceeds preset duration, and current time is default length of one's sleep, then corresponding user's behavior recommendation is sleep suggestion;
When mobile terminal usage behavior is defined as busy behavior, when it is lasting, length exceeds preset duration, and current time is default run duration, then corresponding user's behavior recommendation is exercise suggestion.
According to specific needs, the embodiment of the present invention can also arrange more meticulous rule, realize behavior recommendation more accurately.
In a particular embodiment of the present invention, when mobile terminal usage behavior is defined as busy behavior, when it is lasting, length exceeds preset duration, and the such as current time length of one's sleep that current time is default is certain moment between 22-24 or 0-7 point, then corresponding user's behavior recommendation is sleep suggestion, comprise: embodiment one, when user's current mobile terminal usage behavior is internet behavior and the time length of surfing the Net exceeds preset duration such as 1 hour, motor behavior is static behavior, sleeping behavior is clear-headed behavior, and current time is certain moment between 22-24 or 0-7 point, then corresponding user's behavior recommendation is sleep suggestion. embodiment two, when user's current mobile terminal usage behavior be game behavior and cumulative time of playing in preset time period such as 1 hour exceed preset duration such as 0.5 hour, motor behavior be static behavior, sleeping behavior be clear-headed behavior, and current time is certain moment between 22-24 or 0-7 point, then corresponding user's behavior recommendation is sleep suggestion.
If a certain moment determines that the three-dimensional behavior pattern current to user and time length thereof just mate with the rule in above-described embodiment one or embodiment two in real time, so generate corresponding sleep in this moment and remind.
Certainly, preset rules also comprises a variety of more meticulous rule, determine the three-dimensional behavior pattern that user is current and time length thereof in real time, contrast mutually with all preset rules in the same way, and the user's behavior recommendation corresponding to the rule matched, generating relevant prompting, method is the same, preset rules can be arranged according to expert advice in practical situation, does not describe in detail here.
In the above embodiment of the present invention, described relevant prompting has different ranks, and the prompting of different stage has different initial weights, if reminding the behavior pattern of the user behavior pattern determined in the preset time period after generating prompting suggestion relevant to this to be consistent relevant, then this relevant initial weight reminded is increased.
In a particular embodiment of the present invention, according to default rule, the relevant prompting of different stage can be generated, and the relevant prompting of different stage has different initial weights, preferably, when number of degrees is 5, 1 grade relevant reminds to 5 grades and relevant reminds that corresponding initial weight respectively is 1, 0.8, 0.6, 0.4, 0.2, remind the behavior pattern generating in later preset time period (such as 30 minutes) user behavior pattern determined prompting suggestion relevant to this to be consistent if relevant, so this relevant weights correspondence reminded increases, such as, on the basis of initial weight, according to predetermined step-length increase this relevant remind weights, or, by the coefficient of these relevant weights reminded at basic superior one about 1 of initial weight, such as it is multiplied by 1.2 or 2 etc.
In practical situation, the number of degrees of relevant prompting and the relevant of different grades remind the initial weight arranged arbitrarily to set, and do not describe in detail here.
In the above embodiment of the present invention, described method also comprises:
The three-dimensional behavior pattern in user's each moment and all relevant prompting of generation in statistics preset number of days;
Calculate each class in preset number of days be correlated with the weights reminded and promptings relevant to each class in same time intervals all in preset number of days weights with, wherein time interval described in each has identical preset length;
Relatively in all same default time intervals of preset number of days, each class is correlated with the ratio of weights sum of the weights reminded and prompting relevant to kind corresponding in preset number of days and the size of predetermined threshold value, if the be correlated with ratio of weights sum of the weights reminded and promptings relevant to kind corresponding in preset number of days of each class is greater than predetermined threshold value in same time interval in preset number of days, then this time interval is set to the time of user's behavior that such relevant prompting is advised.
In a particular embodiment of the present invention, preferably, preset number of days is set to 30 days, calculate in 30 days generate all motion remind weights and, also the motion namely gathering in 30 days all ranks generated is reminded, then corresponding weights are reminded in the motion adding up all ranks respectively, again by these weights be added obtain in 30 days all motion remind weights and, preferably, preset length can be set to 30 minutes, if being set to 30 minutes, then comprise 48 time periods of 30 minutes in one day, the weights that all motions calculating all same time intervals in 30 days are reminded and, it is and adds up the motion prompting that preset length in every day is the same time interval of 30 minutes, then the weights that the motion calculating same time interval in 30 days is reminded and, such weights and always have 48, then the weights that all motions compared successively in 30 days in each time interval are reminded and with 30 days in the ratio of weights sum reminded of all motions and the size of predetermined threshold, if the weights that in 30 days, in a certain time interval, all motions are reminded and with 30 days in the ratio of weights sum reminded of all motions be greater than predetermined threshold, so this time interval is set to the time of suggestion campaign, user movement mode the most common in this interval is set to the mode of motion of suggestion, in this interval, the most common mode of motion refers at the mode of motion that this time period of every day the most often occurs.
Specifically, certainly the value of preset number of days and preset length can be selected according to concrete practical situation, and such as preset number of days can elect 10 days as or 20 days, and preset length can elect 1 hour as or 2 hours, and concrete steps are similar, do not describe in detail here.
In a particular embodiment of the present invention, calculate in 30 days generate all sleep remind weights and, also be about to gather in 30 days generate all ranks sleep remind, then corresponding weights are reminded in the sleep adding up all ranks respectively, again by these weights be added obtain in 30 days all sleep remind weights and, preferably, if preset length is set to 30 minutes, then comprise 48 time periods of 30 minutes every day, the weights that all sleeps calculating all same time intervals in 30 days are reminded and, it is and adds up the sleep prompting that preset length in every day is the same time interval of 30 minutes, then the weights that the sleep calculating same time interval in 30 days is reminded and, such weights and always have 48, then the weights that all sleeps compared successively in 30 days in each time interval are reminded and with 30 days in the ratio of weights sum reminded of all sleeps and the size of predetermined threshold, if the weights that in 30 days, in a certain time interval, all sleeps are reminded and with 30 days in the ratio of weights sum reminded of all sleeps be greater than predetermined threshold, so this time interval is set to the time of suggestion sleep, .
Run duration suggestion, mode of motion suggestion and the suggestion length of one's sleep together constitute as healthy Lifestyle provides the method for information, the mode of life long-term according to user, it is achieved provide information to user health mode of life to user.
As shown in Figure 2, embodiments of the invention additionally provide a kind of device to user's information, comprising:
Acquisition module 21, for obtaining the three-dimensional behavior pattern of user, described three-dimensional behavior pattern comprises user's sleeping behavior, user movement behavior and customer mobile terminal usage behavior;
Remind generation module 22, for determining the three-dimensional behavior pattern that user is current and time length thereof, and mate mutually with preset rules, and the user's behavior recommendation corresponding to the rule matched, generate relevant prompting.
In the above embodiment of the present invention, described acquisition module comprises:
Data-acquisition submodule, for gathering the mobile terminal metadata of the electrocardiogram (ECG) data of user, exercise data and user;
First pattern analysis submodule block, according to the electrocardiogram (ECG) data analyzing the user collected, it is determined that the sleeping behavior that user is current, described sleeping behavior at least comprises sleep behavior and clear-headed behavior;
Two modes analyzes submodule block, and according to the exercise data analyzing the user collected, it is determined that the motor behavior that user is current, described motor behavior comprises dynamic behaviour and static behavior;
3rd pattern analysis submodule block, according to the mobile terminal metadata analyzing the user collected, it is determined that user's current mobile terminal usage behavior, described mobile terminal usage behavior comprises: busy behavior and idle behavior.
In the above embodiment of the present invention, described preset rules comprises:
When mobile terminal usage behavior is defined as busy behavior, when it is lasting, length exceeds preset duration, and current time is default length of one's sleep, then corresponding user's behavior recommendation is sleep suggestion;
When mobile terminal usage behavior is defined as busy behavior, when it is lasting, length exceeds preset duration, and current time is default non-sleep time, then corresponding user's behavior recommendation is exercise suggestion.
In the above embodiment of the present invention, described relevant prompting has different ranks, and the prompting of different stage has different initial weights, if reminding the behavior pattern of the user behavior pattern determined in the preset time period after generating prompting suggestion relevant to this to be consistent relevant, then this relevant initial weight reminded is increased.
In the above embodiment of the present invention, described device also comprises:
Statistics module, for all relevant prompting of the three-dimensional behavior pattern and generation of adding up each moment of user in preset number of days;
Calculate module, for calculate each kind in preset number of days be correlated with remind weights and promptings relevant to each kind in same time intervals all in preset number of days weights with, wherein time interval described in each has identical preset length;
Comparison module, for comparing weights and the ratio of weights sum of prompting relevant to kind corresponding in preset number of days and the size of predetermined threshold value that each class in all same default time intervals of preset number of days is correlated with and is reminded, if the be correlated with ratio of weights sum of the weights reminded and promptings relevant to kind corresponding in preset number of days of each class is greater than predetermined threshold value in same time interval in preset number of days, then this time interval is set to the time of user's behavior that such relevant prompting is advised.
It should be noted that, device provided by the invention is the above-mentioned method to user's information of application, then all embodiments of the above-mentioned method to user's information are all applicable to this device, and all can reach same or similar useful effect.
The above is the preferred embodiment of the present invention; it is noted that for those skilled in the art, under the prerequisite not departing from principle of the present invention; can also making some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (10)
1. the method to user's information, it is characterised in that, comprising:
Obtaining the three-dimensional behavior pattern of user, the three-dimensional behavior pattern of described user comprises user's sleeping behavior, user movement behavior and customer mobile terminal usage behavior;
Determine the three-dimensional behavior pattern that user is current and time length thereof, and mate mutually with preset rules, and the user's behavior recommendation corresponding to the rule matched, generate relevant prompting.
2. as claimed in claim 1 to the method for user's information, it is characterised in that, the three-dimensional behavior pattern of described acquisition user, comprising:
Gather the mobile terminal metadata of the electrocardiogram (ECG) data of user, exercise data and user;
According to the electrocardiogram (ECG) data analyzing the user collected, it is determined that the sleeping behavior that user is current, described sleeping behavior at least comprises sleep behavior and clear-headed behavior;
According to the exercise data analyzing the user collected, it is determined that the motor behavior that user is current, described motor behavior comprises dynamic behaviour and static behavior;
According to the mobile terminal metadata analyzing the user collected, it is determined that user's current mobile terminal usage behavior, described mobile terminal usage behavior comprises: busy behavior and idle behavior.
3. as claimed in claim 2 to the method for user's information, it is characterised in that, described preset rules comprises:
When mobile terminal usage behavior is busy behavior, when it is lasting, length exceeds preset duration, and current time is default length of one's sleep, then corresponding user's behavior recommendation is sleep suggestion;
When mobile terminal usage behavior is busy behavior, when it is lasting, length exceeds preset duration, and current time is default non-sleep time, then corresponding user's behavior recommendation is exercise suggestion.
4. as claimed in claim 1 to the method for user's information, it is characterized in that, described relevant prompting has different ranks, and the prompting of different stage has different initial weights, if reminding the behavior pattern of the user behavior pattern determined in the preset time period after generating prompting suggestion relevant to this to be consistent relevant, then this relevant initial weight reminded is increased.
5. as claimed in claim 4 to the method for user's information, it is characterized in that, determine the three-dimensional behavior pattern that user is current and time length thereof, and mate mutually with preset rules, and after generating relevant prompting according to the regular corresponding user's behavior recommendation matched, described method also comprises:
The three-dimensional behavior pattern in user's each moment and all relevant prompting of generation in statistics preset number of days;
Calculate each class in preset number of days be correlated with the weights reminded and promptings relevant to each class in same time intervals all in preset number of days weights with, wherein time interval described in each has identical preset length;
Relatively in all same default time intervals of preset number of days, each class is correlated with the ratio of weights sum of the weights reminded and prompting relevant to kind corresponding in preset number of days and the size of predetermined threshold value, if the be correlated with ratio of weights sum of the weights reminded and promptings relevant to kind corresponding in preset number of days of each class is greater than predetermined threshold value in same time interval in preset number of days, then this time interval is set to the time of user's behavior that such relevant prompting is advised.
6. the device to user's information, it is characterised in that, comprising:
Acquisition module, for obtaining the three-dimensional behavior pattern of user, the three-dimensional behavior pattern of described user comprises user's sleeping behavior, user movement behavior and customer mobile terminal usage behavior;
Remind generation module, for determining the three-dimensional behavior pattern that user is current and time length thereof, and mate mutually with preset rules, and the user's behavior recommendation corresponding to the rule matched, generate relevant prompting.
7. as claimed in claim 6 to the device of user's information, it is characterised in that, described acquisition module comprises:
Data-acquisition submodule, for gathering the mobile terminal metadata of the electrocardiogram (ECG) data of user, exercise data and user;
First pattern analysis submodule block, for according to the electrocardiogram (ECG) data analyzing the user collected, it is determined that the sleeping behavior that user is current, described sleeping behavior at least comprises sleep behavior and clear-headed behavior;
Two modes analyzes submodule block, and for according to the exercise data analyzing the user collected, it is determined that the motor behavior that user is current, described motor behavior comprises dynamic behaviour and static behavior;
3rd pattern analysis submodule block, for according to the mobile terminal metadata analyzing the user collected, it is determined that user's current mobile terminal usage behavior, described mobile terminal usage behavior comprises: busy behavior and idle behavior.
8. as claimed in claim 7 to the device of user's information, it is characterised in that, described preset rules comprises:
When mobile terminal usage behavior is busy behavior, when it is lasting, length exceeds preset duration, and current time is default length of one's sleep, then corresponding user's behavior recommendation is sleep suggestion;
When mobile terminal usage behavior is busy behavior, when it is lasting, length exceeds preset duration, and current time is default non-sleep time, then corresponding user's behavior recommendation is exercise suggestion.
9. as claimed in claim 6 to the device of user's information, it is characterized in that, described relevant prompting has different ranks, and the prompting of different stage has different initial weights, if reminding the behavior pattern of the user behavior pattern determined in the preset time period after generating prompting suggestion relevant to this to be consistent relevant, then this relevant initial weight reminded is increased.
10. as claimed in claim 9 to the device of user's information, it is characterised in that, described device also comprises:
Statistics module, for all relevant prompting of the three-dimensional behavior pattern and generation of adding up each moment of user in preset number of days;
Calculate module, for calculate each kind in preset number of days be correlated with remind weights and promptings relevant to each kind in same time intervals all in preset number of days weights with, wherein time interval described in each has identical preset length;
Comparison module, for comparing weights and the ratio of weights sum of prompting relevant to kind corresponding in preset number of days and the size of predetermined threshold value that each class in all same default time intervals of preset number of days is correlated with and is reminded, if the be correlated with ratio of weights sum of the weights reminded and promptings relevant to kind corresponding in preset number of days of each class is greater than predetermined threshold value in same time interval in preset number of days, then this time interval is set to the time of user's behavior that such relevant prompting is advised.
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| CN103793052A (en) * | 2013-11-21 | 2014-05-14 | 广州视源电子科技股份有限公司 | Eyesight protection control method of mobile terminal |
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| CN110942591B (en) * | 2019-11-12 | 2022-06-24 | 博泰车联网科技(上海)股份有限公司 | Driving safety reminding system and method |
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