CN117093787A - Information pushing method applied to brain stimulation device and related equipment - Google Patents
Information pushing method applied to brain stimulation device and related equipment Download PDFInfo
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- 210000004556 brain Anatomy 0.000 title claims abstract description 57
- 230000000638 stimulation Effects 0.000 title claims abstract description 57
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000005265 energy consumption Methods 0.000 claims description 6
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Abstract
The invention discloses an information pushing method and related equipment applied to a brain stimulation device, and relates to the technical field of data processing. Determining a travel item corresponding to the target user according to the time data and the user position by acquiring the time data and the user position of the target user; acquiring a plurality of historical user positions of a target user in a preset time range before time data, and determining historical travel information corresponding to the target user according to each historical user position; determining a residual energy value corresponding to the target user according to the time data and the historical travel information; and judging whether to push prompt information for using the brain stimulation device to the target user according to the remaining energy value and the travel item. According to the invention, through predicting the ongoing or upcoming travel project of the user and combining the energy condition of the user, whether the user needs to use the brain stimulation device to supplement energy is comprehensively analyzed, so that prompt information for using the brain stimulation device is timely pushed to the user.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an information pushing method and related equipment applied to a brain stimulation device.
Background
Brain stimulation devices use non-invasive techniques that utilize constant, low-intensity direct current to regulate cortical neuronal activity, which may supplement the user's effort. The existing brain stimulation device can only judge whether to start or start at fixed time through subjective judgment of a user, and because the energy of the user is dynamically changed, the starting mode of the existing brain stimulation device is difficult to meet the energy supplement demands of the user under different situations.
Accordingly, there is a need for improvement and development in the art.
Disclosure of Invention
The invention aims to solve the technical problems that aiming at the defects in the prior art, an information pushing method and related equipment applied to a brain stimulation device are provided, and aims to solve the problems that in the prior art, the brain stimulation device can only be started or started at fixed time through subjective judgment of a user, and the energy supplementing requirements of the user under different situations are difficult to meet.
The technical scheme adopted by the invention for solving the problems is as follows:
in a first aspect, an embodiment of the present invention provides an information pushing method applied to a brain stimulation device, where the method includes:
acquiring time data and a user position of a target user, and determining a travel item corresponding to the target user according to the time data and the user position;
acquiring a plurality of historical user positions of the target user in a preset time range before the time data, and determining historical travel information corresponding to the target user according to each historical user position;
determining a residual energy value corresponding to the target user according to the time data and the historical travel information;
and judging whether to push prompt information for using the brain stimulation device to the target user according to the residual energy value and the travel item.
In one embodiment, the determining the trip item corresponding to the target user according to the time data and the user position includes:
according to the time data, acquiring historical access amounts of the target users corresponding to a plurality of geographic positions respectively;
and determining the journey item according to the user position and the historical access quantity of each geographic position.
In one embodiment, said determining said trip item based on said user location and said historical access to each of said geographic locations comprises:
acquiring distance values between the user position and each geographic position respectively;
determining access frequencies corresponding to the geographic positions respectively according to the historical access amounts of the geographic positions;
determining access probabilities corresponding to the geographic positions respectively according to the distance values and the access frequencies of the geographic positions;
determining a target geographic position according to the access probability of each geographic position;
and determining the journey item according to the target geographic position.
In one embodiment, the determining the historical trip information corresponding to the target user according to each historical user position includes:
determining user track data corresponding to the target user according to each historical user position;
inputting the user track data into a pre-trained prediction model to obtain the historical trip information, wherein the prediction model is used for: acquiring a historical track database corresponding to the target user, and matching the user track data with the historical track database; if the matching is successful, acquiring a travel information label corresponding to the history track data which is successfully matched; and determining the historical journey information according to the journey information tag.
In one embodiment, the determining the remaining energy value corresponding to the target user according to the time data and the historical trip information includes:
determining an energy attenuation value based on the time data;
determining a effort consumption value according to the historical trip information;
and acquiring an initial energy value corresponding to the target user, and determining the residual energy value according to the initial energy value, the energy attenuation value and the energy consumption value.
In one embodiment, the determining whether to push the prompt information for using the brain stimulation device to the target user according to the remaining energy value and the trip item includes:
determining an energy demand value from the trip item;
and if the remaining energy value is smaller than or equal to the energy requirement value, generating the prompt information according to the difference value between the remaining energy value and the energy requirement value, and pushing the prompt information to the target user.
In one embodiment, the generating the hint information according to the difference between the remaining energy value and the energy demand value includes:
determining a recommended use mode corresponding to the brain stimulation device according to the difference between the remaining energy value and the energy demand value;
and generating the prompt information according to the recommended use mode.
In a second aspect, an embodiment of the present invention further provides an information pushing device applied to a brain stimulation device, where the device includes:
the travel prediction module is used for acquiring time data and the user position of a target user, and determining a travel item corresponding to the target user according to the time data and the user position;
the historical analysis module is used for acquiring a plurality of historical user positions of the target user in a preset time range before the time data, and determining historical travel information corresponding to the target user according to each historical user position;
the energy prediction module is used for determining a residual energy value corresponding to the target user according to the time data and the historical travel information;
and the information pushing module is used for judging whether to push the prompt information of using the brain stimulation device to the target user according to the residual energy value and the travel item.
In a third aspect, an embodiment of the present invention further provides a terminal, where the terminal includes a memory and one or more processors; the memory stores more than one program; the program comprising instructions for performing the information pushing method as described in any of the above for application to a brain stimulation device; the processor is configured to execute the program.
In a fourth aspect, an embodiment of the present invention further provides a computer readable storage medium having a plurality of instructions stored thereon, where the instructions are adapted to be loaded and executed by a processor to implement any of the steps of the information pushing method described above for use with a brain stimulation device.
The invention has the beneficial effects that: according to the embodiment of the invention, the time data and the user position of the target user are acquired, and the travel item corresponding to the target user is determined according to the time data and the user position; acquiring a plurality of historical user positions of the target user in a preset time range before the time data, and determining historical travel information corresponding to the target user according to each historical user position; determining a residual energy value corresponding to the target user according to the time data and the historical travel information; and judging whether to push prompt information for using the brain stimulation device to the target user according to the residual energy value and the travel item. According to the invention, through predicting the ongoing or upcoming travel project of the user and combining the energy condition of the user, whether the user needs to use the brain stimulation device to supplement energy is comprehensively analyzed, so that prompt information for using the brain stimulation device is timely pushed to the user.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings may be obtained according to the drawings without inventive effort to those skilled in the art.
Fig. 1 is a flowchart of an information pushing method applied to a brain stimulation device according to an embodiment of the present invention.
Fig. 2 is a schematic block diagram of an information pushing device applied to a brain stimulation device according to an embodiment of the present invention.
Fig. 3 is a schematic block diagram of a terminal according to an embodiment of the present invention.
Detailed Description
The invention discloses an information pushing method applied to a brain stimulation device and related equipment, and aims to make the purposes, technical schemes and effects of the invention clearer and more definite. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless expressly stated otherwise, as understood by those skilled in the art. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. The term "and/or" as used herein includes all or any element and all combination of one or more of the associated listed items.
It will be understood by those skilled in the art that all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs unless defined otherwise. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
In view of the above-mentioned drawbacks of the prior art, the present invention provides an information pushing method applied to a brain stimulation device, as shown in fig. 1, the method includes:
step S100, acquiring time data and a user position of a target user, and determining a travel item corresponding to the target user according to the time data and the user position;
step 200, acquiring a plurality of historical user positions of the target user in a preset time range before the time data, and determining historical travel information corresponding to the target user according to each historical user position;
step S300, determining a residual energy value corresponding to the target user according to the time data and the historical travel information;
and step 400, judging whether to push prompt information for using the brain stimulation device to the target user according to the residual energy value and the travel item.
In short, the embodiment comprehensively analyzes whether the user needs to use the brain stimulation device to supplement energy by predicting the ongoing or upcoming travel project and combining the energy condition of the user, so as to timely push the prompt information of using the brain stimulation device to the user. Specifically, the target user in this embodiment may be any user who uses the brain stimulation device, and the task of pushing the prompt information may be divided into two subtasks, i.e., predicting the travel item of the target user and predicting the remaining energy value of the target user. For the subtask of the predicted travel project, a certain mapping rule exists between different travels of the target user and different time points, for example, the travel corresponding to nine points in the morning is generally out of work, and the travel corresponding to five points in the afternoon is generally out of work and returns to home. Because the journey of the target user is not always changed according to the time point rule, the current time data is combined with the current user position to more accurately predict the journey item of the target user, for example, the current journey item of the target user can be accurately judged to be going out to work through the information of nine points in the morning and subway stations. For the subtask of predicting the remaining energy value of the target user, the remaining energy value of the target user is mainly affected by the time point and the history of travel, for example, the energy value is continuously reduced from the morning to the evening as time passes; after a complicated mental or heavy physical activity, the energy value is greatly reduced. The present embodiment thus comprehensively predicts the current remaining energy value of the target user by the current time data and the history trip information. And finally comprehensively analyzing whether the target user needs to supplement energy or not according to the prediction results of the two subtasks, and pushing prompt information of using the brain stimulation device to the target user in time when the target user needs to supplement energy so as to meet energy supplement requirements of the target user under different situations.
In one implementation, the determining, according to the time data and the user position, a trip item corresponding to the target user includes:
according to the time data, acquiring historical access amounts of the target users corresponding to a plurality of geographic positions respectively;
and determining the journey item according to the user position and the historical access quantity of each geographic position.
Specifically, the present embodiment collects historical positioning data of the target user at different time points in advance. And carrying out statistical analysis on all the historical positioning data acquired at the time point according to each time point to obtain the historical access quantity of each geographic position visited by the target user at the time point. In an actual application scene, historical access amounts of all geographic positions corresponding to the current time data are obtained, the access interests of the target user to different geographic positions at the moment can be obtained through the historical access amounts, and the current travel items of the target user or the upcoming travel items can be accurately predicted by combining the current user positions.
In one implementation, the determining the trip item according to the user location and the historical access amount for each of the geographic locations includes:
acquiring distance values between the user position and each geographic position respectively;
determining access frequencies corresponding to the geographic positions respectively according to the historical access amounts of the geographic positions;
determining access probabilities corresponding to the geographic positions respectively according to the distance values and the access frequencies of the geographic positions;
determining a target geographic position according to the access probability of each geographic position;
and determining the journey item according to the target geographic position.
Briefly, this embodiment predicts the destination of the target user, i.e., the target geographic location, based on two metrics. The first index is the distance between the current position of the user and each geographic position, and the second index is the historical access amount of each geographic position. And finally predicting the current or future upcoming travel item of the target user through the target geographic position. Specifically, for each geographic location that the target user has visited, a distance value between the geographic location and the user location is calculated, and a corresponding access frequency is determined according to the historical access amount of the geographic location. The probability of access to the geographic location is then determined based on the access frequency and the distance value. The higher the access probability is, the higher the probability that the geographic location is the destination of the target user is, so that the target geographic location is determined from the geographic locations according to the access probability of the geographic locations, and then the trip item of the target user is predicted by analyzing various information such as the building type, the function and the like of the target geographic location.
In one implementation manner, the determining the access probability corresponding to each geographic location according to the distance value and the access frequency of each geographic location includes:
determining a first access probability according to the distance value of each geographic position, wherein the distance value is in inverse relation with the first access probability;
determining a second access probability according to the access frequency of the geographic position, wherein the access frequency and the second access probability are in a direct proportion relation;
and determining the access probability according to the first access probability and the second access probability.
Specifically, the closer the distance value, the higher the likelihood that the target user will visit the geographic location; the further the distance value is, the lower the likelihood that the target user will access the geographic location. The distance value is inversely related to the first access probability. The higher the historical access volume, the higher the access frequency/access interest of the target user to the geographic location; the lower the historical access volume, the lower the frequency of access/access interest to that geographic location for the target user. The access frequency is thus proportional to the second access probability. Finally, the access probability of the geographic positions is comprehensively determined according to the first access probability and the second access probability, and the possibility that the target user takes each geographic position as a destination can be accurately predicted.
In one implementation, the determining the access probability according to the first access probability and the second access probability includes:
acquiring travel track data corresponding to a plurality of pieces of history travel information of the target user respectively;
calculating the similarity between every two travel track data to obtain a plurality of similarity values;
determining the regularity of each history travel according to the duty ratio of the similarity value with the value larger than a preset similarity threshold, wherein the duty ratio is in a direct proportion relation with the regularity;
determining weight values respectively corresponding to the first access probability and the second access probability according to the regularity, wherein the regularity is in a direct proportion relation with the weight value of the second access probability;
and determining the access probability according to the first access probability, the weight value of the first access probability, the second access probability and the weight value of the second access probability.
Specifically, by analyzing a large number of historical trips of the target user, the trip characteristics of the target user, such as higher trip randomness or higher regularity of the target user, can be known. If the regularity of the target user is higher, the travel information reflected by the historical travel of the target user is higher in reliability, and the target user is more likely to access the frequently accessed geographic position currently, a higher weight value is given to the second access probability, so that the access probability of each geographic position is predicted more accurately.
In one implementation manner, the determining the historical trip information corresponding to the target user according to each historical user position includes:
determining user track data corresponding to the target user according to each historical user position;
inputting the user track data into a pre-trained prediction model to obtain the historical trip information, wherein the prediction model is used for: acquiring a historical track database corresponding to the target user, and matching the user track data with the historical track database; if the matching is successful, acquiring a travel information label corresponding to the history track data which is successfully matched; and determining the historical journey information according to the journey information tag.
Specifically, each historical user location has its corresponding timestamp reflecting the time of acquisition of that historical user location. And according to all the time stamps and the historic user positions, user track data preset before the target user can be drawn. In order to quickly determine the historical trip information of the target user, the embodiment trains a prediction model in advance, learns the corresponding relation between the historical track data and the trip information, and constructs a historical track database. In an actual application scene, user track data are input into a prediction model, the prediction model can automatically match the user track data with a historical track database, if historical track data with similarity higher than a preset threshold value exist, the historical track data with highest similarity are used as objects successfully matched, and the historical travel information of a target user in a preset time range is determined according to travel information labels of the historical track data. According to the embodiment, by combining the deep learning technology and the historical user position, the historical trip information of the target user in the preset time range can be rapidly determined.
In one implementation, the determining, according to the time data and the historical trip information, a remaining energy value corresponding to the target user includes:
determining an energy attenuation value based on the time data;
determining a effort consumption value according to the historical trip information;
and acquiring an initial energy value corresponding to the target user, and determining the residual energy value according to the initial energy value, the energy attenuation value and the energy consumption value.
Specifically, without the replenishment of energy, the target user is constantly attenuating in the middle of the day, the morning is highest in the energy value, the afternoon is centered in the energy value, and the evening is lowest in the energy value, so the present embodiment can determine the degree of attenuation of the target user's energy, that is, the energy attenuation value, based on the current time data. And different travel items have different effects on the energy value of the target user, so that the energy consumption degree of the target user can be determined based on the historical travel information, namely the energy consumption value is obtained. The present embodiment may calculate the initial energy value of the target user based on the sleep information and/or the physiological information of the target user in advance, i.e., the initial energy values of different users may be different. And then comprehensively determining the energy loss condition of the target user under the influence of time and travel through the energy attenuation value and the energy consumption value, and accurately calculating the current residual energy value of the target user by combining the initial energy value.
In one implementation, the determining, according to the remaining energy value and the trip item, whether to push the prompt information for using the brain stimulation device to the target user includes:
determining an energy demand value from the trip item;
and if the remaining energy value is smaller than or equal to the energy requirement value, generating the prompt information according to the difference value between the remaining energy value and the energy requirement value, and pushing the prompt information to the target user.
Specifically, since the energy values required for different types of travel are different, the present embodiment determines the energy demand condition of the target user according to the type of the current travel item, that is, obtains the energy demand value. If the current remaining energy value of the target user is smaller than or equal to the energy requirement value, the target user is required to be prompted to timely supplement energy in order to ensure the normal running and completion quality of the travel item. The present embodiment generates a prompt message based on the difference between the remaining energy value and the energy demand value and pushes the prompt message to the user to prompt timely and how much energy is needed to be replenished in this case.
In one implementation, the generating the hint information according to the difference between the remaining energy value and the energy demand value includes:
determining a recommended use mode corresponding to the brain stimulation device according to the difference between the remaining energy value and the energy demand value;
and generating the prompt information according to the recommended use mode.
Specifically, the brain stimulation device in this embodiment stores multiple usage modes in advance, in order to reduce the selection difficulty of the target user and provide better usage experience for the target user, the embodiment automatically matches a suitable usage mode for the target user according to the difference between the remaining energy value and the energy requirement value, and pushes the usage mode to the target user in a prompt information manner.
Based on the above embodiment, the present invention further provides an information pushing device applied to a brain stimulation device, as shown in fig. 2, where the device includes:
the journey prediction module 01 is used for acquiring time data and a user position of a target user, and determining a journey item corresponding to the target user according to the time data and the user position;
the history analysis module 02 is configured to obtain a plurality of historical user positions of the target user within a preset time range before the time data, and determine historical trip information corresponding to the target user according to each historical user position;
an energy prediction module 03, configured to determine a remaining energy value corresponding to the target user according to the time data and the historical trip information;
and the information pushing module 04 is used for judging whether to push the prompt information of using the brain stimulation device to the target user according to the residual energy value and the travel item.
Based on the above embodiment, the present invention also provides a terminal, and a functional block diagram thereof may be shown in fig. 3. The terminal comprises a processor, a memory, a network interface and a display screen which are connected through a system bus. Wherein the processor of the terminal is adapted to provide computing and control capabilities. The memory of the terminal includes a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the terminal is used for communicating with an external terminal through a network connection. The computer program is executed by the processor to implement an information push method applied to the brain stimulation device. The display screen of the terminal may be a liquid crystal display screen or an electronic ink display screen.
It will be appreciated by those skilled in the art that the functional block diagram shown in fig. 3 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the terminal to which the present inventive arrangements may be applied, and that a particular terminal may include more or less components than those shown, or may combine some of the components, or have a different arrangement of components.
In one implementation, the memory of the terminal has stored therein one or more programs, and the execution of the one or more programs by one or more processors includes instructions for performing an information push method applied to a brain stimulation device.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
In summary, the invention discloses an information pushing method and related equipment applied to a brain stimulation device. Determining a travel item corresponding to the target user according to the time data and the user position by acquiring the time data and the user position of the target user; acquiring a plurality of historical user positions of a target user in a preset time range before time data, and determining historical travel information corresponding to the target user according to each historical user position; determining a residual energy value corresponding to the target user according to the time data and the historical travel information; and judging whether to push prompt information for using the brain stimulation device to the target user according to the remaining energy value and the travel item. According to the invention, through predicting the ongoing or upcoming travel project of the user and combining the energy condition of the user, whether the user needs to use the brain stimulation device to supplement energy is comprehensively analyzed, so that prompt information for using the brain stimulation device is timely pushed to the user.
It is to be understood that the invention is not limited in its application to the examples described above, but is capable of modification and variation in light of the above teachings by those skilled in the art, and that all such modifications and variations are intended to be included within the scope of the appended claims.
Claims (10)
1. An information pushing method applied to a brain stimulation device, the method comprising:
acquiring time data and a user position of a target user, and determining a travel item corresponding to the target user according to the time data and the user position;
acquiring a plurality of historical user positions of the target user in a preset time range before the time data, and determining historical travel information corresponding to the target user according to each historical user position;
determining a residual energy value corresponding to the target user according to the time data and the historical travel information;
and judging whether to push prompt information for using the brain stimulation device to the target user according to the residual energy value and the travel item.
2. The information pushing method applied to the brain stimulation device according to claim 1, wherein the determining a travel item corresponding to the target user according to the time data and the user position includes:
according to the time data, acquiring historical access amounts of the target users corresponding to a plurality of geographic positions respectively;
and determining the journey item according to the user position and the historical access quantity of each geographic position.
3. The information pushing method applied to the brain stimulation apparatus according to claim 2, wherein the determining the travel item according to the user location and the historical access amount of each of the geographical locations includes:
acquiring distance values between the user position and each geographic position respectively;
determining access frequencies corresponding to the geographic positions respectively according to the historical access amounts of the geographic positions;
determining access probabilities corresponding to the geographic positions respectively according to the distance values and the access frequencies of the geographic positions;
determining a target geographic position according to the access probability of each geographic position;
and determining the journey item according to the target geographic position.
4. The information pushing method applied to the brain stimulation device according to claim 1, wherein the determining the historical trip information corresponding to the target user according to each of the historical user positions includes:
determining user track data corresponding to the target user according to each historical user position;
inputting the user track data into a pre-trained prediction model to obtain the historical trip information, wherein the prediction model is used for: acquiring a historical track database corresponding to the target user, and matching the user track data with the historical track database; if the matching is successful, acquiring a travel information label corresponding to the history track data which is successfully matched; and determining the historical journey information according to the journey information tag.
5. The information pushing method applied to the brain stimulation device according to claim 1, wherein the determining the remaining energy value corresponding to the target user according to the time data and the history travel information includes:
determining an energy attenuation value based on the time data;
determining a effort consumption value according to the historical trip information;
and acquiring an initial energy value corresponding to the target user, and determining the residual energy value according to the initial energy value, the energy attenuation value and the energy consumption value.
6. The information pushing method applied to the brain stimulation device according to claim 1, wherein the determining whether to push the prompt information for using the brain stimulation device to the target user according to the remaining energy value and the travel item includes:
determining an energy demand value from the trip item;
and if the remaining energy value is smaller than or equal to the energy requirement value, generating the prompt information according to the difference value between the remaining energy value and the energy requirement value, and pushing the prompt information to the target user.
7. The information pushing method applied to the brain stimulation apparatus according to claim 6, wherein the generating the hint information according to the difference between the remaining energy value and the energy demand value includes:
determining a recommended use mode corresponding to the brain stimulation device according to the difference between the remaining energy value and the energy demand value;
and generating the prompt information according to the recommended use mode.
8. An information pushing device for use in a brain stimulation device, the device comprising:
the travel prediction module is used for acquiring time data and the user position of a target user, and determining a travel item corresponding to the target user according to the time data and the user position;
the historical analysis module is used for acquiring a plurality of historical user positions of the target user in a preset time range before the time data, and determining historical travel information corresponding to the target user according to each historical user position;
the energy prediction module is used for determining a residual energy value corresponding to the target user according to the time data and the historical travel information;
and the information pushing module is used for judging whether to push the prompt information of using the brain stimulation device to the target user according to the residual energy value and the travel item.
9. A terminal comprising a memory and one or more processors; the memory stores more than one program; the program comprising instructions for performing the information pushing method applied to the brain stimulation device according to any one of claims 1-7; the processor is configured to execute the program.
10. A computer readable storage medium having stored thereon a plurality of instructions adapted to be loaded and executed by a processor for carrying out the steps of the information pushing method applied to a brain stimulation device according to any one of the preceding claims 1-7.
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