CN105662394B - A kind of method and apparatus prompting the user with information - Google Patents
A kind of method and apparatus prompting the user with information Download PDFInfo
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Abstract
The present invention provides a kind of method and apparatus for prompting the user with information, it is related to mobile health field, wherein, which comprises obtain user's three-dimensional behavior pattern, user's three-dimensional behavior pattern includes user's sleep behavior, user movement behavior and customer mobile terminal usage behavior；It determines the current three-dimensional behavior pattern of user and its duration, and matches with preset rules, and the user behavior suggestion according to corresponding to the rule matched, generate related remind.The method provided by the invention for prompting the user with information passes through acquisition mobile terminal metadata, exercise data and dormant data, get customer mobile terminal usage behavior, motor behavior and sleep behavior and by triplicity, it is matched according to user's current behavior and presetting rule, related prompting can be generated for user in time.
Description
Technical field
The present invention relates to mobile health fields, more particularly to a kind of method and apparatus for prompting the user with information.
Background technique
The patient road of mobile health service covering rehabilitation outside health promotion, chronic diseases management, diseases monitoring/intervention to institute
Diameter.Wherein, health promotion class service is mainly monitored by quantifying self and life style, is helped user to make the life better mode, is mentioned
The high general level of the health.
Application No. is a kind of 201310474400.1 patent " movement system for prompting based on Human Physiology information collection
And method " in, disclose a kind of movement system for prompting and method based on Human Physiology information collection.By acquiring Human Physiology
Information, judges whether to be kept in motion and sleep state, and in a manner of timing, pushes movement for user and remind.But it should
Invention only based on health data, does not account for combining mobile phone metadata, generates significantly more efficient, user and more likely complies with
Movement remind, meanwhile, move remind on the basis of, further generation life style improvement plan.
Summary of the invention
The embodiment of the present invention is designed to provide a kind of method and apparatus for prompting the user with information, according to real-time acquisition
Related prompting is generated for user in behavior to user, prompts relevant information based on long-term related remind for the healthy living of user.
In order to achieve the above object, the embodiment of the invention provides a kind of methods for prompting the user with information, comprising:
User's three-dimensional behavior pattern is obtained, user's three-dimensional behavior pattern includes user's sleep behavior, user movement row
For with customer mobile terminal usage behavior；
It determines the current three-dimensional behavior pattern of user and its duration, and matches with preset rules, and according to matching
On rule corresponding to user behavior suggestion, generate related remind.
Wherein, the acquisition user three-dimensional behavior pattern, comprising:
Acquire electrocardiogram (ECG) data, exercise data and the mobile terminal of the user metadata of user；
According to the electrocardiogram (ECG) data of collected user, determine that the current sleep behavior of user, the sleep behavior at least wrap
Include sleep behavior and awake behavior；
According to the exercise data of collected user, determine that the current motor behavior of user, the motor behavior include dynamic
State behavior and static behavior；
According to the mobile terminal metadata of collected user, user's current mobile terminal usage behavior, the shifting are determined
Dynamic terminal usage behavior includes: busy behavior and idle behavior.
Wherein, the preset rules include:
When mobile terminal usage behavior is busy behavior, duration exceeds preset duration, and current time is default
Sleeping time, then corresponding user behavior suggestion be sleep suggest；
When mobile terminal usage behavior is busy behavior, duration exceeds preset duration, and current time is default
The non-sleep time, then corresponding user behavior suggestion be exercise suggestion.
Wherein, related remind has different ranks, and the prompting of different stage has different initial weights, if
The user behavior pattern determined in the related preset time period reminded after generating is related to this to remind the behavior pattern suggested
It is consistent, then the initial weight reminded the correlation increases.
Wherein it is determined that three-dimensional behavior pattern and its duration that user is current, and match with preset rules, and according to
After the corresponding user behavior suggestion of rule matched generates related remind, the method also includes:
Count all related promptings of the three-dimensional behavior pattern at user's each moment and generation in preset number of days；
Calculate in preset number of days every a kind of related weight reminded and with it is every in same time intervals all in preset number of days
A kind of related weight reminded and, wherein each time interval preset length having the same；
Compare in all same preset time sections of preset number of days every a kind of related weight reminded and in preset number of days
Weight that corresponding type correlation is reminded and ratio and preset threshold size, if each in same time interval in preset number of days
The weight of weight and promptings related to type correspond in preset number of days that class correlation is reminded and ratio greater than preset threshold, then general
The time interval is set as the time that such correlation reminds the user behavior suggested.
In order to achieve the above object, the embodiment of the invention also provides a kind of devices for prompting the user with information, comprising:
Module is obtained, for obtaining user's three-dimensional behavior pattern, user's three-dimensional behavior pattern includes user's sleep row
For, user movement behavior and customer mobile terminal usage behavior；
Processing module, for determining the current three-dimensional behavior pattern of user and its duration, and with preset rules phase
Match, and the user behavior suggestion according to corresponding to the rule matched, generates related remind.
Wherein, the acquisition module includes:
Submodule is acquired, the electrocardiogram (ECG) data, exercise data and the mobile terminal of user metadata of user are acquired；
First determines that submodule determines the current sleep behavior of user according to the electrocardiogram (ECG) data of collected user, described
Sleep behavior includes at least sleep behavior and awake behavior；
Second determines that submodule determines the current motor behavior of user according to the exercise data of collected user, described
Motor behavior includes dynamic behaviour and static behavior；
Third determines submodule, according to the mobile terminal metadata of collected user, determines user's current mobile terminal
Usage behavior, the mobile terminal usage behavior include: busy behavior and idle behavior.
Wherein, the preset rules include:
When mobile terminal usage behavior is busy behavior, duration exceeds preset duration, and current time is default
Sleeping time, then corresponding user behavior suggestion be sleep suggest；
When mobile terminal usage behavior is busy behavior, duration exceeds preset duration, and current time is default
Run duration, then corresponding user behavior suggestion be exercise suggestion.
Wherein, related remind has different ranks, and the prompting of different stage has different initial weights, if
The user behavior pattern determined in the related preset time period reminded after generating is related to this to remind the behavior pattern suggested
It is consistent, then the initial weight reminded the correlation increases.
Wherein, described device further include:
Statistical module, the three-dimensional behavior pattern for counting each moment of user in preset number of days are all related to generation
It reminds；
Computing module, for calculate each type correlation is reminded in preset number of days weight and with it is all same in preset number of days
Each type correlation is reminded in one time interval weight and, wherein each time interval preset length having the same；
Comparison module, for compare in all same preset time sections of preset number of days every a kind of related weight reminded and
The weight of prompting related to type is corresponded in preset number of days and ratio and preset threshold size, if in preset number of days with for the moment
Between in section the weight of every a kind of related weight reminded and prompting related to type is corresponded in preset number of days and ratio be greater than
The time interval is then set as the time that such correlation reminds the user behavior suggested by preset threshold.
The beneficial effects of the present invention are: the method provided by the invention for prompting the user with information is moved by real-time collection analysis
Dynamic terminal metadata, exercise data and dormant data obtain customer mobile terminal usage behavior, motor behavior and sleep row in real time
For, and by triplicity, it is matched according to user's current behavior with current behavior duration and presetting rule, according to what is matched
The corresponding user behavior suggestion of rule, is generated for user related prompting.
It is reminded according to the three-dimensional behavior pattern of user in statistics a period of time and the related of generation, realization forms length to user
The prompt that the life style of phase improves.
Detailed description of the invention
Fig. 1 is the step flow chart that the method for information is prompted the user with described in the embodiment of the present invention；
Fig. 2 is the structural schematic diagram that the device of information is prompted the user with described in the embodiment of the present invention.
Specific embodiment
To keep the technical problem to be solved in the present invention, technical solution and advantage clearer, below in conjunction with attached drawing and tool
Body embodiment is described in detail.
As shown in Figure 1, the embodiment of the invention provides a kind of methods for prompting the user with information, comprising:
Step 11, user's three-dimensional behavior pattern is obtained, the three-dimensional behavior pattern includes user's sleep behavior, user movement
Behavior and customer mobile terminal usage behavior；
Step 12, the current three-dimensional behavior pattern of user and its duration are determined, and is matched with preset rules, and root
According to user behavior suggestion corresponding to the rule matched, related remind is generated.
In a specific embodiment of the present invention, optionally, related remind of generation is reminded including movement prompting and sleep, and
Related remind of generation has several different ranks, in conjunction with sleep behavior, motor behavior and customer mobile terminal usage behavior,
Realize that timely graded movement is reminded and sleep is reminded.
In the above embodiment of the invention, obtaining user's three-dimensional behavior pattern includes:
Acquire electrocardiogram (ECG) data, exercise data and the mobile terminal of the user metadata of user.
According to the electrocardiogram (ECG) data of collected user, determine that the current sleep behavior of user, the sleep behavior at least wrap
Include sleep behavior and awake behavior.
According to the exercise data of collected user, determine that the current motor behavior of user, the motor behavior include dynamic
State behavior and static behavior, more specifically, dynamic behaviour may include the row such as walking behavior, cycling behavior, exercise behavior again
For dynamic behaviour may include static behavior and the behaviors such as behavior by bus again, and the main difference between these behaviors is embodied in use
On the acceleration at family.
According to the mobile terminal metadata of collected user, user's current mobile terminal usage behavior, the shifting are determined
Dynamic terminal usage behavior includes: busy behavior and idle behavior, more specifically, busy behavior may include again call behavior,
The behaviors such as internet behavior and game behavior.
In a specific embodiment of the present invention, the current sleep behavior of user is the original electrocardiographicdigital based on the acquisition of electrocardio node
Data, extract QRS wave and RR interim analysis obtains.The current motor behavior of user is the original motion based on movement node acquisition
Data, such as acceleration information are obtained using motion frequency analysis, KNN classification scheduling algorithm analysis.The specific calculation of the above behavioural analysis
Method can refer to realization in the prior art, and the present invention is not specifically limited.In addition, mobile terminal usage behavior then can basis
Mobile communication system obtains the metadata of mobile terminal, for example, the status datas such as the talking state of terminal, data connection state,
Analysis obtains the usage behavior of terminal.
In the above embodiment of the invention, preset rules include:
When mobile terminal usage behavior is determined as busy behavior, duration exceeds preset duration, and current time is
Preset sleeping time, then corresponding user behavior suggestion is that sleep is suggested；
When mobile terminal usage behavior is determined as busy behavior, duration exceeds preset duration, and current time is
Preset run duration, then corresponding user behavior suggestion is exercise suggestion.
According to specific needs, more fine rule can also be set in the embodiment of the present invention, to realize more accurately
Behavior recommendation.
In a specific embodiment of the present invention, when mobile terminal usage behavior is determined as busy behavior, duration is super
Preset duration out, and current time is such as current time of preset sleeping time when being some between 22-24 or 0-7 point
It carves, then corresponding user behavior suggestion is that sleep is suggested, comprising: embodiment one, when user's current mobile terminal usage behavior is
Internet behavior and duration of surfing the Internet beyond preset duration such as 1 hour, motor behavior be static behavior, sleep behavior is clear
Wake up behavior, and current time for 22-24 or 0-7 point between sometime, then corresponding user behavior suggestion be sleep suggestion.
Embodiment two, when user's current mobile terminal usage behavior is game behavior and the interior game when preset time period such as 1 is small
Accumulated time exceeds preset duration such as 0.5 hour, motor behavior is static behavior, sleep behavior is awake behavior, and current
Time, between 22-24 or 0-7 point sometime then corresponding user behavior suggestion was that sleep is suggested.
If a certain moment is determined in real time to the current three-dimensional behavior pattern of user and its duration and above-described embodiment one
Or the rule in embodiment two just matches, and reminds then generating corresponding sleep at this moment.
Certainly, preset rules also include a variety of more fine rules, determine the current three-dimensional behavior mould of user in real time
Formula and its duration compare with all preset rules in the same way, and the use according to corresponding to the rule matched
Family behavior recommendation generates relevant prompting, method is same as above, preset rules can according to the actual situation in expert advice be arranged,
Here it is not detailed.
In the above embodiment of the invention, related remind has different ranks, and the prompting tool of different stage
There is different initial weights, if the user behavior pattern determined in the related preset time period reminded after generating is related to this
The behavior pattern suggested is reminded to be consistent, then the initial weight reminded the correlation increases.
In a specific embodiment of the present invention, according to default rule, the related of different stage can be generated and reminded, and is different
The related of rank is reminded with different initial weights, it is preferable that when number of degrees is 5,1 grade of correlation is reminded to 5 grades of related promptings
Respectively corresponding initial weight is 1,0.8,0.6,0.4,0.2, if related remind generates (such as 30 points of later preset time period
Clock) in determine user behavior pattern it is related to this remind suggestion behavior pattern be consistent, then the correlation prompting weight pair
It should increase, for example, increasing the weight of correlation prompting according to pre- fixed step size, alternatively, by the phase on the basis of initial weight
The coefficient that the weight reminded multiplies one about 1 on the basis of initial weight is closed, such as multiplied by 1.2 or 2 etc..
In actual conditions, the number of degrees that correlation is reminded can be random to the different grades of related initial weight for reminding setting
Setting, is not detailed here.
In the above embodiment of the invention, the method also includes:
Count all related promptings of the three-dimensional behavior pattern at user's each moment and generation in preset number of days；
Calculate in preset number of days every a kind of related weight reminded and with it is every in same time intervals all in preset number of days
A kind of related weight reminded and, wherein each time interval preset length having the same；
Compare in all same preset time sections of preset number of days every a kind of related weight reminded and in preset number of days
Weight that corresponding type correlation is reminded and ratio and preset threshold size, if each in same time interval in preset number of days
The weight of weight and promptings related to type correspond in preset number of days that class correlation is reminded and ratio greater than preset threshold, then general
The time interval is set as the time that such correlation reminds the user behavior suggested.
In a specific embodiment of the present invention, it is preferable that preset number of days is set as 30 days, and calculating generates all in 30 days
Move remind weight and, namely summarize all ranks generated in 30 days movement remind, then count all ranks respectively
Movement remind corresponding weight, then by these weights be added to obtain all movements are reminded in 30 days weights and, it is preferable that it is pre-
If length can be set to 30 minutes, if being set as 30 minutes, includes 48 30 minutes periods in one day, calculate institute in 30 days
There is the weight of all movements prompting of same time interval and counts daily middle preset length as 30 minutes same time
The movement in section is reminded, then calculate weight that the movement of same time interval in 30 days is reminded and, such weight and in total
Have 48, then successively compare weight that all movements in 30 days in each time interval are reminded and with 30 days in all movements
The weight of prompting and ratio and predetermined threshold size, if the weights that sometime all movements are reminded in section in 30 days
With with 30 days in it is all movement remind weights and ratio be greater than predetermined threshold, then the time interval is set as suggestion campaign
Time, the most common user movement mode is set as the motion mode of suggestion, the most common movement in the section in the section
Mode refers in daily this period the most common motion mode.
Certainly specifically, the value of preset number of days and preset length can be selected according to specific actual conditions, such as default
Number of days can be selected as 10 days or 20 days, and preset length can be selected as 1 hour or 2 hours, comprise the concrete steps that similar, not done here
It is described in detail.
In a specific embodiment of the present invention, calculate all sleeps for generating are reminded in 30 days weight and, will also converge
The sleep of all ranks generated in total 30 days is reminded, and corresponding weight is reminded in the sleep for then counting all ranks respectively, then
By these weights be added to obtain all sleeps are reminded in 30 days weight and, it is preferable that if preset length is set as 30 minutes, often
It include 48 30 minutes periods, calculate 30 days in all same time intervals all sleeps remind weight and, i.e.,
It is reminded to count the sleep for the same time interval that preset length is 30 minutes in daily, then calculates same time zone in 30 days
Between the weight reminded of sleep and, then such weight and 48 a total of successively compares in 30 days in each time interval
All sleeps remind weight and with 30 days in it is all sleep remind weight and ratio and predetermined threshold size, if
Sometime all sleeps are reminded in section in 30 days weight and with 30 days in the weight reminded of all sleeps and ratio it is big
In predetermined threshold, then the time interval is set as to the time of suggestion sleep,.
Run duration suggestion, motion mode suggestion and sleeping time suggest together constituting as healthy Lifestyle to user
The method of information is provided, according to the long-term life style of user, realizes and provides information to user health life style.
As shown in Fig. 2, the embodiments of the present invention also provide a kind of devices for prompting the user with information, comprising:
Obtain module 21, for obtaining user's three-dimensional behavior pattern, the three-dimensional behavior pattern include user's sleep behavior,
User movement behavior and customer mobile terminal usage behavior；
Remind generation module 22, for determining the current three-dimensional behavior pattern of user and its duration, and with default rule
Then match, and the user behavior suggestion according to corresponding to the rule matched, generates related remind.
In the above embodiment of the invention, the acquisition module includes:
Data-acquisition submodule, for acquiring the electrocardiogram (ECG) data, exercise data and the mobile terminal of user metadata of user；
First mode analyzes submodule, according to the electrocardiogram (ECG) data for analyzing collected user, determines the current sleep of user
Behavior, the sleep behavior include at least sleep behavior and awake behavior；
Second mode analyzes submodule, according to the exercise data for analyzing collected user, determines the current movement of user
Behavior, the motor behavior include dynamic behaviour and static behavior；
The third mode analyzes submodule, according to the mobile terminal metadata for analyzing collected user, determines that user is current
Mobile terminal usage behavior, the mobile terminal usage behavior include: busy behavior and idle behavior.
In the above embodiment of the invention, the preset rules include:
When mobile terminal usage behavior is determined as busy behavior, duration exceeds preset duration, and current time is
Preset sleeping time, then corresponding user behavior suggestion is that sleep is suggested；
When mobile terminal usage behavior is determined as busy behavior, duration exceeds preset duration, and current time is
The preset non-sleep time, then corresponding user behavior suggestion is exercise suggestion.
In the above embodiment of the invention, related remind has different ranks, and the prompting tool of different stage
There is different initial weights, if the user behavior pattern determined in the related preset time period reminded after generating is related to this
The behavior pattern suggested is reminded to be consistent, then the initial weight reminded the correlation increases.
In the above embodiment of the invention, described device further include:
Statistical module, the three-dimensional behavior pattern for counting each moment of user in preset number of days are all related to generation
It reminds；
Computing module, for calculate each type correlation is reminded in preset number of days weight and with it is all same in preset number of days
Each type correlation is reminded in one time interval weight and, wherein each time interval preset length having the same；
Comparison module, for compare in all same preset time sections of preset number of days every a kind of related weight reminded and
The weight of prompting related to type is corresponded in preset number of days and ratio and preset threshold size, if in preset number of days with for the moment
Between in section the weight of every a kind of related weight reminded and prompting related to type is corresponded in preset number of days and ratio be greater than
The time interval is then set as the time that such correlation reminds the user behavior suggested by preset threshold.
It should be noted that device provided by the invention be using the above-mentioned method for prompting the user with information, then it is above-mentioned to
All embodiments of the method for user's prompt information are suitable for the device, and can reach the same or similar beneficial effect.
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art
For, without departing from the principles of the present invention, several improvements and modifications can also be made, these improvements and modifications
It should be regarded as protection scope of the present invention.
Claims (6)
1. a kind of method for prompting the user with information characterized by comprising
Obtain user's three-dimensional behavior pattern, user's three-dimensional behavior pattern include user's sleep behavior, user movement behavior and
Customer mobile terminal usage behavior；
It determines the current three-dimensional behavior pattern of user and its duration, and matches with preset rules, and according to matching
User behavior suggestion corresponding to rule generates related prompting, and related remind of generation includes that movement prompting and sleep are reminded；Institute
Stating related remind has different ranks, and the prompting of different stage has different initial weights, generates if reminding in correlation
The user behavior pattern determined in later preset time period is related to this to remind the behavior pattern suggested to be consistent, then by the correlation
The initial weight of prompting increases；
Count all related promptings of the three-dimensional behavior pattern at user's each moment and generation in preset number of days；
Calculate in preset number of days every a kind of related weight reminded and with every one kind in same time intervals all in preset number of days
Correlation remind weight and, wherein each time interval preset length having the same；
Compare in all same preset time sections of preset number of days every a kind of related weight reminded and corresponding in preset number of days
Type correlation remind weight and ratio and preset threshold size, if in preset number of days in same time interval it is every one kind phase
Close the weight and prompting related to type correspond in preset number of days reminded weight and ratio greater than preset threshold, then by this when
Between section be set as such correlation remind suggest user behavior time.
2. the method for prompting the user with information as described in claim 1, which is characterized in that the acquisition user three-dimensional behavior mould
Formula, comprising:
Acquire electrocardiogram (ECG) data, exercise data and the mobile terminal of the user metadata of user；
According to the electrocardiogram (ECG) data for analyzing collected user, determine that the current sleep behavior of user, the sleep behavior at least wrap
Include sleep behavior and awake behavior；
According to the exercise data for analyzing collected user, determine that the current motor behavior of user, the motor behavior include dynamic
State behavior and static behavior；
According to the mobile terminal metadata for analyzing collected user, user's current mobile terminal usage behavior, the shifting are determined
Dynamic terminal usage behavior includes: busy behavior and idle behavior.
3. the method for prompting the user with information as claimed in claim 2, which is characterized in that the preset rules include:
When mobile terminal usage behavior is busy behavior, duration exceeds preset duration, and current time is preset sleeps
It sleeps the time, then corresponding user behavior suggestion is that sleep is suggested；
When mobile terminal usage behavior is busy behavior, duration exceeds preset duration, and current time is preset non-
Sleeping time, then corresponding user behavior suggestion is exercise suggestion.
4. a kind of device for prompting the user with information characterized by comprising
Module is obtained, for obtaining user's three-dimensional behavior pattern, user's three-dimensional behavior pattern includes user's sleep behavior, uses
Family motor behavior and customer mobile terminal usage behavior；
Remind generation module, for determining the current three-dimensional behavior pattern of user and its duration, and with preset rules phase
Match, and the user behavior suggestion according to corresponding to the rule matched, generates related prompting, related remind of generation includes movement
It reminds and sleep is reminded；Related remind has different ranks, and the prompting of different stage has different initial weights,
If the user behavior pattern determined in the related preset time period reminded after generating is related to this to remind the behavior mould suggested
Formula is consistent, then the initial weight reminded the correlation increases；
Statistical module related is mentioned for counting all of the three-dimensional behavior pattern at each moment of user in preset number of days and generation
It wakes up；
Computing module, for calculate each type correlation is reminded in preset number of days weight and with it is all with for the moment in preset number of days
Between each type correlation is reminded in section weight and, wherein each time interval preset length having the same；
Comparison module, for compare in all same preset time sections of preset number of days every a kind of related weight reminded and with it is pre-
If corresponded in number of days type correlation prompting weight and ratio and preset threshold size, if same time zone in preset number of days
The weight of interior every a kind of related weight reminded and promptings related to type correspond in preset number of days and ratio greater than presetting
The time interval is then set as the time that such correlation reminds the user behavior suggested by threshold value.
5. prompting the user with the device of information as claimed in claim 4, which is characterized in that the acquisition module includes:
Data-acquisition submodule, for acquiring the electrocardiogram (ECG) data, exercise data and the mobile terminal of user metadata of user；
First mode analyzes submodule, for determining the current sleep of user according to the electrocardiogram (ECG) data for analyzing collected user
Behavior, the sleep behavior include at least sleep behavior and awake behavior；
Second mode analyzes submodule, for determining the current movement of user according to the exercise data for analyzing collected user
Behavior, the motor behavior include dynamic behaviour and static behavior；
The third mode analyzes submodule, for determining that user is current according to the mobile terminal metadata for analyzing collected user
Mobile terminal usage behavior, the mobile terminal usage behavior include: busy behavior and idle behavior.
6. prompting the user with the device of information as claimed in claim 5, which is characterized in that the preset rules include:
When mobile terminal usage behavior is busy behavior, duration exceeds preset duration, and current time is preset sleeps
It sleeps the time, then corresponding user behavior suggestion is that sleep is suggested；
When mobile terminal usage behavior is busy behavior, duration exceeds preset duration, and current time is preset non-
Sleeping time, then corresponding user behavior suggestion is exercise suggestion.
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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 |
| CN113892943B (en) * | 2021-09-07 | 2022-08-12 | 南京运亨通信息科技有限公司 | Method and device for processing sports bracelet data |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1959689A (en) * | 2005-12-29 | 2007-05-09 | 康佳集团股份有限公司 | Method for preventing indulging in games of handset |
| CN103519821A (en) * | 2013-10-11 | 2014-01-22 | 深圳先进技术研究院 | Motion reminding system and method based on human physical information collection |
| CN103559116A (en) * | 2013-10-30 | 2014-02-05 | 深圳市金立通信设备有限公司 | Method for reminding time and terminal |
| 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 for mobile terminal |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102208049A (en) * | 2011-03-17 | 2011-10-05 | 江苏省莱科信息技术有限公司 | Healthy work schedule management method and system |
| CA2868009A1 (en) * | 2012-01-18 | 2013-07-25 | Nike Innovate C.V. | Activity and inactivity monitoring |
| CN102973276B (en) * | 2012-12-20 | 2014-05-07 | 毛毅翔 | Device for preventing myopia and cervical spondylosis |
-
2014
- 2014-11-21 CN CN201410676361.8A patent/CN105662394B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1959689A (en) * | 2005-12-29 | 2007-05-09 | 康佳集团股份有限公司 | Method for preventing indulging in games of handset |
| CN103519821A (en) * | 2013-10-11 | 2014-01-22 | 深圳先进技术研究院 | Motion reminding system and method based on human physical information collection |
| CN103559116A (en) * | 2013-10-30 | 2014-02-05 | 深圳市金立通信设备有限公司 | Method for reminding time and terminal |
| 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 for mobile terminal |
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