CN110719360A - Automatic generation method and device of memo event and storage device - Google Patents
Automatic generation method and device of memo event and storage device Download PDFInfo
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- CN110719360A CN110719360A CN201910833537.9A CN201910833537A CN110719360A CN 110719360 A CN110719360 A CN 110719360A CN 201910833537 A CN201910833537 A CN 201910833537A CN 110719360 A CN110719360 A CN 110719360A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72451—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to schedules, e.g. using calendar applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72457—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to geographic location
Abstract
The invention discloses a method, a device and a storage device for automatically generating a memorandum event, wherein the method comprises the steps of acquiring behavior information of a user, wherein the behavior information at least comprises one of image information, sound information, positioning information, consumption information and physical condition information; determining and storing the behavior event of the user based on the behavior information; and when the occurrence frequency of the behavior event in a preset time period is greater than a preset frequency threshold, adding the behavior event to a memo. By the mode, the memorandum can be conveniently and accurately generated.
Description
Technical Field
The present invention relates to the field of memo generation, and in particular, to an automatic memo event generation method, device and storage device.
Background
With the advent of social aging, the number of elderly people in our country is continuously increasing. And as the smart machine is popularized, the old people cannot be skilled in using the smart machine, so that the memorandum is not convenient to generate through language or text input. It becomes important how to generate a memo more conveniently to remind the elderly.
Disclosure of Invention
The invention provides a method and a device for automatically generating a memo event and a storage device. The problem that a corresponding memorandum needs to be generated according to the daily behaviors of a user in the prior art is solved.
In order to solve the technical problems, the invention adopts a technical scheme that: there is provided an automatic generation method of a memo event, the generation method including: acquiring behavior information of a user, wherein the behavior information at least comprises one of image information, sound information, positioning information, consumption information and physical condition information; determining and saving a behavior event of the user based on the behavior information; and when the occurrence frequency of the behavior event in a preset time period is greater than a preset frequency threshold, adding the behavior event to a memo.
According to an embodiment of the present invention, the preset time period includes a preset number of event cycles, and when the occurrence frequency of the behavior event in the preset time period is greater than a preset frequency threshold, the method includes: acquiring the target number of the behavior events in the preset number of event cycles; calculating the ratio of the target quantity to the preset quantity to obtain the occurrence frequency; and if the occurrence frequency is greater than the preset frequency threshold, determining that the occurrence frequency of the behavior event in a preset time period is greater than a preset frequency threshold.
According to an embodiment of the present invention, the obtaining the target number of the behavior events occurring in the preset number of event cycles includes: when the behavior event occurs for the first time, recording the current event period as a first event period, and recording the behavior event as a first behavior event; judging whether the behavior events of a plurality of event periods after the first event period and the first behavior event are the same event or not; and if so, adding one to the target number.
According to an embodiment of the present invention, the determining whether the behavior events in the event periods after the first event period and the first behavior event are the same event includes: determining the behavior event with the same event name as the first behavior event in the plurality of event periods; calculating the similarity of the event time in the behavior event and the first behavior event; and if the similarity is greater than a similarity threshold value, determining that the behavior event is the same as the first behavior event.
According to an embodiment of the present invention, the adding the behavior event to a memo includes: storing the event name and the event time of the behavior event into a memo; and reminding the user to perform the behavior event based on the event time in a subsequent event period added to the memo.
According to an embodiment of the present invention, the method further includes: and when a new event cycle is acquired, adding the new event cycle into the preset time period and taking the new event cycle as the last event cycle in the preset time period, and deleting the first event cycle in the preset time period.
According to an embodiment of the present invention, the method further includes: correspondingly generating a corresponding cartoon gesture according to the event name of the behavior event; displaying the cartoon gesture corresponding to the animation duration according to the event time of the behavior event and a preset proportion to generate cartoon animation; the cartoon animation is used for visually recording the behavior events of the user.
According to an embodiment of the present invention, after the adding the behavior event to the memo, the method further includes: if the behavioral event does not occur for a threshold number of event cycles; the memo is removed from the behavioral event.
In order to solve the technical problem, the invention adopts another technical scheme that: providing an automatic memo generation device, wherein the automatic memo generation device comprises a processor and a memory; the memory has stored therein an instruction file for execution by the processor to implement the steps of any of the above methods.
In order to solve the technical problem, the invention adopts another technical scheme that: there is provided a storage device storing instruction files which, when executed, implement the steps of a method as claimed in any one of the preceding claims.
The invention has the beneficial effects that: different from the prior art, the action information of the user is acquired, the action event of the user is determined according to the action information, and the action event is added to the memorandum when the occurrence frequency of the action event in the preset time period is greater than the preset frequency threshold, so that the user does not need to input, the user can directly determine the things the user often does from the action of the user, the corresponding memorandum is generated, and the convenience and the accuracy of the generation of the memorandum are greatly improved.
Drawings
FIG. 1 is a schematic flow chart of a method for automatically generating a memo event according to a first embodiment of the present invention;
FIG. 2 is a schematic flow chart of a sub-step of S13 in the step of FIG. 1;
FIG. 3 is a schematic flow chart of the sub-step S131 in the step of FIG. 2;
FIG. 4 is a schematic flow chart of the S22 sub-step of the step of FIG. 3;
FIG. 5 is a flowchart illustrating a method for automatically generating a memo event according to a second embodiment of the present invention;
FIG. 6 is a schematic structural diagram of an apparatus for automatically generating a memo event according to an embodiment of the present invention;
FIG. 7 is a structural diagram of a memory device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In addition, if there is a description of "first", "second", etc. in an embodiment of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
The general life of the old people has strong regularity, so that the memorandum event obtained by recording the behavior information of the old people has strong feasibility. By judging whether the old people do the same things in the same time period from four days to five days in a week or other time, the things and the corresponding time period are set as memorandum events.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for automatically generating a memo event according to a first embodiment of the present invention, which specifically includes the following steps:
s11, acquiring behavior information of the user; wherein the behavior information at least comprises one of image information, sound information, positioning information, consumption information and physical condition information.
The behavior information of the user is acquired, and the behavior information of the user can be acquired through the wearable device or the mobile terminal.
In a particular scenario, the wearable device or mobile terminal may include a camera, a sound recording device, a GPS, etc. sensor. Therefore, the user can be monitored in real time, and the behavior information of the user can be obtained.
In a particular embodiment, the behavior information includes at least one of image information, sound information, positioning information, consumption information, and physical condition information.
The image information and the sound information may be specifically video image and sound information of the user or the surrounding environment of the user, so as to record what the user is currently doing.
The positioning information may specifically be the position and time information of the user, which records the entire travel information of the user.
The consumption information can be the consumption amount and consumption purpose of the user, such as information of WeChat, Paibao and the like during payment, and can be used for determining the consumption event of the user by combining the image information and the sound information, such as buying vegetables and the like.
The physical condition information is specifically heart rate information of the user and the like, and is used for determining the motion event of the user, such as running or walking and the like, by combining the positioning information.
And S12, determining the behavior event of the user based on the behavior information and saving the behavior event.
The behavioral information is identified to determine behavioral events for the user.
In particular embodiments, the user may preset the location of the home and company, etc.
In an application scenario, a user starts from home and goes out to take a walk and then returns to home.
The method comprises the steps of obtaining behavior information of a user, determining that the user leaves home at the time A and returns home at the time B according to positioning information in the behavior information, detecting that the step number of the user keeps constant change all the time in the period A-B, obtaining a travel route of the user, determining that the travel route of the user is located in a park or a road all the time, and then determining that the user walks at the time A-B for the first time.
Recording the event as a behavior event, wherein the behavior event comprises an event name and an event time. Specifically, for some behavior events, an event trip may also be included, where the event trip of the behavior event is a trip route.
In another specific scenario, the user goes out from home to buy a dish.
And acquiring the behavior information of the user, determining that the user starts from home at the time C by the positioning information of the behavior information, and displaying the positioning information at the time D in a dish market or a supermarket. Acquiring consumption information from the behavior information, determining consumption use from the consumption information, and determining the consumption use of the user as a dish buying use. And determining that the user is in a supermarket or a dish market and the like from the image information and the sound information.
Namely, the event name in the behavior event recorded in the scene is buying, the event time is C time, and the event trip is a trip located at home and during shopping.
In another particular scenario, the user takes a break.
And acquiring the behavior information of the user, and determining that the user does not move all the time at the time E by the positioning information of the behavior information. And judging that the user has performed the sleep state from the heart rate information in the physical condition information.
Namely, the event name in the behavior event recorded in the scene is rest, and the event time is E time.
And S13, when the occurrence frequency of the behavior event in the preset time period is greater than the preset frequency threshold, adding the behavior event to the memo.
When the occurrence frequency of the behavior event in the preset time period is greater than the preset frequency threshold, it may be determined that the frequency of executing the behavior event by the user is high, and the behavior event may be added as a memo.
Referring to fig. 2, fig. 2 is a sub-step of S13 in fig. 1 according to the present invention, specifically a sub-step when the occurrence frequency of the behavior event in the preset time period is greater than the preset frequency threshold. The method comprises the following specific steps:
s131, acquiring the target number of the behavior events in the preset number of event periods.
The preset time period includes a preset number of event cycles. In a specific scenario, the preset time period may be one day, one week, one month, or the like. Correspondingly, if the preset time period can be one day, the event period can be one hour, and the preset number is 24; if the preset time period is one week, the event period can be one day, and the preset number is 7; if the preset time period is one month, the event cycle may be one week with a preset number of 4, or the event cycle may be one day with a preset number of 30.
In other embodiments, the preset number and the event period defined by other users may also be used, and are not limited herein.
In an embodiment, a preset time period is taken as a week, an event cycle is taken as a day, and a preset number is 7 for example.
And acquiring the target number of the behavior events in the preset number of event periods, namely the number of days in which the behavior events occur within 7 days.
Referring to fig. 3, fig. 3 shows the substeps of S131 in fig. 2 according to the present invention, which include the following steps:
and S21, when the behavior event occurs for the first time, recording the current event period as the first event period, and recording the behavior event as the first behavior event.
Alternatively, taking the preset time period as one week as an example, the week mentioned in the present application is not monday to sunday, but is continuous for 7 days.
Therefore, the behavior information in the event cycle in the preset time period is sequentially analyzed in time order and extracted as the behavior event.
If a certain behavior event occurs for the first time in the event period for the whole preset time period, namely after the behavior event occurs for the first time, recording the current event period as the first event period, and recording the behavior event as the first behavior event.
Specifically, if the a and/or b behavior event occurs for the first time in a first event cycle within a preset time period, the a and/or b behavior event is taken as the first behavior event, and the first event cycle is taken as the first event cycle. And if the c behavior event occurs for the first time in a second event period within the preset time period, taking the c behavior event as a first behavior event, and taking the second event period as a first event period.
The first action event is not unique to the first event period, and may correspond to different action events.
S22, determining whether the behavior events of the plurality of event periods after the first event period are the same as the first behavior event.
And judging whether the behavior events of a plurality of event periods after the first event period and the first behavior event are the same event or not.
And comparing the behavior events in a plurality of event periods after the first event period with the first behavior event in sequence, and determining whether the behavior events are the same event.
If the second event period is the first event period for the c behavior event, comparing the behavior events in the plurality of event periods after the second event period with the first behavior event, i.e., the c event, to determine whether the behavior events in the plurality of event periods after the second event period are the same event as the first behavior event.
Take a preset time period as a week and an event period as a day as an example. And if the c behavior event occurs on the second day in the week, comparing the behavior events on the third day to the seventh day with the c behavior event in sequence, and determining whether the behavior events on the third day to the seventh day and the c behavior event are the same event.
Referring to fig. 4, fig. 4 shows the substeps of S22 in fig. 3 according to the present invention, which are as follows:
and S221, determining the behavior event with the same event name as the first behavior event in a plurality of event periods.
In one embodiment, the action event includes an event name and an event time. And if the event name of the first action event is assumed to be walking, determining the action event with the event name of walking in a plurality of event periods after the first event period.
S222, calculating the similarity of the event time in the behavior event and the first behavior event.
And calculating the similarity of the event time in the behavior event and the first behavior event.
In particular embodiments, the event time may be a point in time or a period of time.
In one embodiment, the first action event is named as a walk, and since the walk belongs to a longer motion, the event time is a time period, such as 6 pm to 7 pm. The event name of the d behavior event is also walking, and the event time is 6 o 'clock and 7 o' clock.
In another embodiment, for a partial behavioral event, such as an event named get-up, since get-up is a short time activity, the event time is a point in time, such as may be 7 a.m.
The d-behavior event may be compared with the event time of the first behavior event, and since the event time of the user is not fixed at a certain time, the similarity may be determined by calculating the difference between the event times of the d-behavior event and the first behavior event.
Such as a difference of 100% for 10 minutes or less, 90% for 30 minutes or more and 90% for 30 minutes or less, 80% for 1 hour or more and 30 minutes or more, and the like.
Specifically, for a behavior event whose event time is a time period, the calculation may be performed by integrating the start time of the event time and the total length of the time period.
For example, the time difference of the starting time is 80% of the weight, and the time difference of the total time period is 20% of the weight.
In a specific embodiment, the event time of the first behavioral event is 6 pm to 7 pm, and the event time of the behavioral event is 6 o ' clock, half o ' clock, and half o ' clock. If the time difference of the start time is half an hour, the similarity is 80%, and if the time difference of the total time period is 0, the similarity is 100%. The final similarity was 80% by 80% + 20% by 100% ═ 80%.
And S223, if the similarity is greater than the similarity threshold, determining that the behavior event is the same as the first behavior event.
And if the similarity is larger than the similarity threshold value, determining that the comparison is successful. That is, if the difference between the event time of the behavior event and the event time of the first behavior event is smaller than a certain value, the behavior event and the first behavior event can be considered to be the same event.
S23, if yes, the counting process is carried out to the target number.
Therefore, if the comparison is successful, the target number is counted up by one. That is, on a 1 basis, if event periods subsequent to the first event period are compared in sequence, the target number is increased by one if the comparison is successful in sequence.
For example, if there are behavior events in four event cycles that are successful in comparing with the first behavior event, the target number is 1+4 and is 5 in total.
S132, calculating the ratio of the target number to the preset number to obtain the occurrence frequency.
And calculating the ratio of the target number to the preset number to obtain the occurrence frequency, namely the ratio of the event period in which similar or similar behavior events exist to the preset number of all event periods.
And S133, if the occurrence frequency is greater than a preset frequency threshold, determining that the occurrence frequency of the behavior event in a preset time period is greater than the preset frequency threshold.
And if the occurrence frequency is greater than the preset frequency threshold, determining that the occurrence frequency of the behavior event in the preset time period is greater than the preset frequency threshold.
Referring to fig. 5, fig. 5 is a sub-step of S13 in fig. 1, specifically a sub-step of adding the behavior event to a memo according to the present invention. The method comprises the following specific steps:
and S134, storing the event name and the event time of the behavior event into a memo.
And storing the event name and the event time of the behavior event into a memo, wherein the event name and the event time can be stored based on characters or pictures.
Specifically, the event time may specifically be an event time corresponding to the first action event. The average value of the event time in all the same or similar behavior events is also possible, or when adding, the corresponding event time is obtained, and the event time can be input by the user.
And S135, reminding the user of performing the action event based on the event time in the subsequent event period added to the memo.
And in the subsequent event period after the event is added to the memorandum, reminding the user of performing the action event based on the event time.
As for the walking behavioral event, the user may be reminded of the need to go out to walk based on the start time of the event time, and the event trip of the walk may be provided by the way for the user to make route determination, and so on.
In a specific embodiment, after a new event cycle is acquired, the new event cycle may be added to the preset time period and used as the last event cycle of the preset time period, and the first event cycle in the preset time period is deleted.
If a new event cycle is added in the preset time period, for example, the preset time period is one week and includes 7 event cycles from monday to sunday, if the preset time period obtains the new monday as the event cycle, the first event cycle in the preset time period may be deleted, that is, the event cycle where the original monday is located is deleted. The method specifically comprises emptying behavior information and behavior events, so that a preset time period is ensured to have a preset number of event cycles, and the storage load is reduced.
In one embodiment, the action event is removed from the tickler if the action event does not occur for a threshold number of event cycles.
If the action event does not occur in a threshold number of event cycles after the action event is added to the memo and reminded, that is, the user does not perform the action event according to the memo, and may not need the action event as the memo, the action event may be removed from the memo.
In a specific embodiment, the behavior information can also be generated into a corresponding cartoon animation, so that the life of the user can be recorded intuitively, that is, the cartoon animation can be used for recording the behavior events of the user intuitively.
Specifically, corresponding cartoon gestures can be correspondingly generated according to the event names of the behavior events, such as walking, eating, resting and the like, corresponding human body cartoon gestures are correspondingly generated, and the corresponding cartoon gestures are displayed according to the event time of the behavior events according to the preset proportion to generate cartoon animations.
Taking an event cycle as one day as an example, 24 hours correspond to animation time length of 12 minutes or other time lengths, so that the time length of each action event is determined and reduced to the corresponding time length in 12 minutes, so that the cartoon gesture can display the animation time length corresponding to the event time, and corresponding cartoon animation can be generated, and the event name and the event time of the user are recorded visually through the cartoon animation.
As shown in fig. 6, the present invention further provides an automatic memo generation device, which specifically includes a processor 10 and a memory 11 coupled to the processor.
The processor 10 may also be referred to as a CPU (Central Processing Unit). The processor 10 may be an integrated circuit chip having signal processing capabilities. The processor 10 may also be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
In this implementation, the processor 10 may be used to implement the steps in any of the embodiments described above.
The memory 11 thereof stores an instruction file 111 capable of implementing any of the above embodiments.
Other module terminals of the above-mentioned device can respectively execute the corresponding steps in the above-mentioned method embodiment, so that the description of each module is omitted here, and please refer to the description of the corresponding steps above in detail.
Referring to fig. 7, fig. 7 is a schematic structural diagram of an embodiment of the storage device 20 of the present invention, which includes an instruction file 21 capable of implementing all the methods described above, where the instruction file 21 may be stored in the storage device 20 in the form of a software product, and also records data of various calculations, and includes several instructions for enabling a computer device (which may be a personal computer, a server, an intelligent robot, or a network device) or a processor (processor) to execute all or part of the steps of the methods of the embodiments of the present invention.
The instruction file 21 also has a certain independence, and can continue to cooperate with the processor 10 to execute relevant instructions when the running system and the backup system fail, and cannot be replaced, damaged and emptied in the upgrading, the boot program upgrading and the repairing.
The aforementioned storage device 20 includes: various media capable of storing program codes, such as a usb disk, a mobile hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, or terminal devices, such as a computer, a server, a mobile phone, and a tablet.
In summary, the behavior information of the user is acquired, the behavior event of the user is determined according to the behavior information, and the behavior event is added to the memo when the occurrence frequency of the behavior event in the preset time period is greater than the preset frequency threshold, so that the user can directly determine the things the user often does from the behavior of the user without inputting, and generate the corresponding memo, and the convenience of generating the memo is greatly improved.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent results or equivalent flow transformations performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An automatic generation method of a memo event, characterized in that the generation method comprises:
acquiring behavior information of a user, wherein the behavior information at least comprises one of image information, sound information, positioning information, consumption information and physical condition information;
determining and saving a behavior event of the user based on the behavior information;
and when the occurrence frequency of the behavior event in a preset time period is greater than a preset frequency threshold, adding the behavior event to a memo.
2. The automatic generation method according to claim 1, wherein the preset time period includes a preset number of event cycles, and when the occurrence frequency of the behavior event in the preset time period is greater than a preset frequency threshold, the method includes:
acquiring the target number of the behavior events in the preset number of event cycles;
calculating the ratio of the target quantity to the preset quantity to obtain the occurrence frequency;
and if the occurrence frequency is greater than the preset frequency threshold, determining that the occurrence frequency of the behavior event in a preset time period is greater than a preset frequency threshold.
3. The automatic generation method according to claim 2, wherein the obtaining of the target number of the behavior events occurring in the preset number of event cycles includes:
when the behavior event occurs for the first time, recording the current event period as a first event period, and recording the behavior event as a first behavior event;
judging whether the behavior events of a plurality of event periods after the first event period and the first behavior event are the same event or not;
and if so, adding one to the target number.
4. The automatic generation method of claim 3, wherein the behavior event includes an event name and an event time, and the determining whether the behavior event of the plurality of event periods after the first event period and the first behavior event are the same event comprises:
determining the behavior event with the same event name as the first behavior event in the plurality of event periods;
calculating the similarity of the event time in the behavior event and the first behavior event;
and if the similarity is greater than a similarity threshold value, determining that the behavior event is the same as the first behavior event.
5. The automatic generation method of claim 4, wherein the adding the behavioral event to a memo comprises:
storing the event name and the event time of the behavior event into a memo;
and reminding the user to perform the behavior event based on the event time in a subsequent event period added to the memo.
6. The automatic generation method of claim 2, further comprising:
and when a new event cycle is acquired, adding the new event cycle into the preset time period and taking the new event cycle as the last event cycle in the preset time period, and deleting the first event cycle in the preset time period.
7. The automatic generation method of claim 4, further comprising:
correspondingly generating a corresponding cartoon gesture according to the event name of the behavior event;
displaying the cartoon gesture corresponding to the animation duration according to the event time of the behavior event and a preset proportion to generate cartoon animation;
the cartoon animation is used for visually recording the behavior events of the user.
8. The automatic generation method of claim 1, wherein after adding the behavior event to a memo, further comprising:
if the behavioral event does not occur for a threshold number of event cycles;
the memo is removed from the behavioral event.
9. An automatic memo generation device, which is characterized in that the automatic memo generation device comprises a processor and a memory; stored in the memory are instruction files for execution by the processor to implement the steps of the method according to any one of claims 1 to 8.
10. A storage device storing a file of instructions which, when executed, implement the steps of a method according to any one of claims 1 to 8.
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| CN114760385A (en) * | 2022-04-01 | 2022-07-15 | 靳秀超 | Alarm clock-based terminal control method and intelligent terminal |
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| CN110719360B (en) | 2021-04-20 |
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