KR20220016008A - Emoticon, system and instant message system for foreign language learning using artificial intelligence and big data - Google Patents

Abstract

The present invention relates to an emoticon, system and instant message service system and method for foreign language learning using artificial intelligence and big data. The present invention is to enable learning of a foreign language using learning emoticons. In particular, learning emoticons are formed by combining foreign language learning data such as conversation, words, idioms, and grammar for each country's language, and emoticon data. Then, by using artificial intelligence, big data, chatbots, etc., learning content combined with the learning emoticons is expressed in various forms whenever this learning emoticons are executed. Natural and efficient repetitive learning is ensured. Also, users are allowed to self-learn by themselves, and users are allowed to transfer their learning emoticons to other users. According to the present invention, every time an emoticon is launched on a smartphone, emoticon data and foreign language learning data combined with learning emoticons are displayed. Also, a user's condition, mood, emotion, intention, facial expression, etc. are indicated, and natural repetitive learning of a foreign language is possible. In addition, by combining Chinese character learning data with foreign language learning data, ensured is the effect of learning Chinese characters as well as learning a foreign language.

Description

Emoticon, system and instant message service system and method for foreign language learning using artificial intelligence and big data {Emoticon, system and instant message system for foreign language learning using artificial intelligence and big data}

The present invention enables a smartphone user to learn a foreign language of each country using emoticons (still emoticons, moving emoticons, sound emoticons, vibrating emoticons, etc.) After combining learning data (e.g., conversation, words, idioms, grammar, etc.) and emoticon data, emoticons for learning Each time the emoticon is executed, the learning content coupled to each learning emoticon is repeatedly expressed, thereby allowing natural repetitive learning of the foreign language to be learned.

In addition, in learning foreign languages, various and efficient learning including self-learning is made through artificial intelligence, big data, and chatbots, and learning emoticons that have been learned can be transferred to other users.

In addition, data for learning Chinese characters (radical, form, meaning, sound, stroke order, writing process, synonyms, antonyms, related words, thousand characters, lion idioms, common Chinese characters, etc., hereinafter " It is called “data for learning Chinese characters.”), so that you can learn Chinese characters at the same time while learning a foreign language.

Another object of the present invention is to provide an instant message service system that provides the emoticons for learning as described above.

With the rapid development of electronic information and communication technology, various types of smart devices, such as smartphones, tablets, computers, mobile accessories, wearable devices, and smart watches, have been disseminated, and through this, it has become possible to communicate with others anytime, anywhere.

Instant message service is a service that provides a real-time conversation between a user and the other party. It is a real-time online doctor that allows a message sent from a sender to be displayed immediately on the recipient's screen without using an e-mail program or web browser. communication service.

The instant message service may allow messages to be exchanged in real time in a chat room capable of performing 1:1 chatting or group chatting based on a network.

The instant message service is provided through a messenger application, and various types of information can be shared among users through the messenger application. A user can effectively convey his/her emotions or intentions by means of emoticons provided by the messenger application. KakaoTalk, Line, and WeChat are examples of such services.

An emoticon is a word created by combining the words "Emotion" and "Icon", which mean emotions. In the early days, emoticons expressed the user's state or mood by combining letters, symbols, and numbers.

With the further development of technology, more diverse types of emoticons have been developed using pictures, characters, sounds, and vibrations, and through this, users can display more diverse types of emotions.

A static emoticon composed of a static image, a moving emoticon composed of a dynamic image, a sound emoticon combining sound (voice, music, sound effect, etc.), and a vibrating emoticon for controlling vibration generation are examples.

Korean Patent Application No. 10-2015-0062472 "Instant messenger system and service method therefor", Korean Patent Registration No. 10-1301794 "Method for providing instant messaging service using dynamic emoticons and mobile terminal executing the method", Republic of Korea Patent Registration No. 10-2004287 "Emoticon generating device and emoticon creation method", Korean Patent Application No. 10-2014-0149105 "Method for providing emoticon service combined with music", Republic of Korea Patent Registration No. 10-0862728 "Mobile messenger A mobile communication terminal providing a vibrating emoticon and a method therefor" is an example of this.

With the further development of multimedia technology and communication environment, bots have been used in chatting windows, and it has become possible to provide more diverse functions using artificial intelligence and big data. Through artificial intelligence, big data, and chatbots, it provides various services such as searching for data in chat rooms, searching for locations, collecting and analyzing data, translating, serving customers, and providing advertisements.

Korean Patent Registration No. 10-1872863 "Business support method using chatting bot", Korean Patent Registration No. 10-2050244 "Natural language processing-based interactive chatbot operation method and system for activating messenger group chat rooms", Korean Patent Application No. 10 -2019-0074973 "Method of providing instant message service using bot", Korean Patent Application No. 10-2019-0105858 "Method and server for providing semi-automatic conversation using chatbot and counselor", Korean Patent Registration No. 10-1894060 "User Intelligent advertisement providing server using analytics-based chatbot", Korean Patent Registration No. 10-1594500 "Artificial intelligence chatting method that provides necessary information based on chatting content", Korean Patent Application No. 10-2016-0079919 "Big data An example of this is a method for automatically matching an online chat partner using artificial intelligence and an automatic matching system for this.

However, the conventional emoticons as described above have a problem in that they have limitations in expressing a user's emotions, chatting smoothly, and providing services. For example, it can be configured to learn specific content by using the characteristics of repetition, high frequency of use, and easy access by users, but there is a problem that there is no consideration for educational approach. In addition, there is a problem that data on emoticons, data on the use of emoticons, and data on users cannot be efficiently used.

The object of the present invention was made in view of the conventional problems as described above, and in particular, after constructing an emoticon for learning by combining data for learning foreign languages such as conversations, words, idioms, and grammar for each country's language and emoticon data, Using intelligence, big data, and chatbots, whenever this learning emoticon is executed, the learning content combined with the learning emoticon is expressed in various forms, thereby allowing natural and efficient repetitive learning to occur, as well as allowing users to self-learning on their own. This is to provide "Emoji, system, and instant message service system and method for foreign language learning using artificial intelligence and big data" that enables users to do this and transfers the learning emoticons possessed by the user to other users.

In order to achieve the above object, the composition of the present invention "emoticons for foreign language learning using artificial intelligence and big data" is,

In providing an instant message service between the first terminal device and the second terminal device by relaying the server system, the emoticons provided by the instant message service include:

It is made by combining data for foreign language learning and emoticon data, and when the data for foreign language learning and emoticon data are combined, the data for foreign language learning is displayed around characters, pictures, figures, or symbols included in the emoticon data. The above learning emoticons are included and each time the learning emoticons are executed, foreign language learning data coupled to the learning emoticons is displayed so that natural repetitive learning is performed.

The composition of the present invention "instant message service system that provides emoticons for foreign language learning using artificial intelligence and big data" is:

An instant message service system for providing an instant message service between a first terminal device and a second terminal device, the instant message service system comprising:

The instant message service system is characterized in that it provides a learning emoticon made by combining data for foreign language learning and emoticon data.

Configuration 1 of the present invention "Emoji system for foreign language learning using artificial intelligence and big data" is,

In providing an instant message service between the first terminal device and the second terminal device by relaying the server system,

It is made by combining data for foreign language learning and emoticon data, and when the data for foreign language learning and emoticon data are combined, data for foreign language learning is displayed around characters, pictures, figures, or symbols included in the emoticon data, but this data for foreign language learning is a character I emoticons for learning consisting of data related to pictures, figures, or symbols;

a first terminal device in which the learning emoticon is stored, the user's self-learning is supported, the learning emoticon is transmitted and exchanged with the second terminal device through a server system, and the exchanged or transmitted learning emoticon is executed;

a second terminal device in which the learning emoticon is stored, the user's self-learning is supported, the learning emoticon is transmitted and exchanged with the first terminal device through a server system, and the exchanged or transmitted learning emoticon is executed; and,

Provides an instant message service between the first terminal device and the second terminal device, provides upload and download for the learning emoticon, and transmits information about the learning emoticon between the first terminal device and the second terminal device A server system that relays and supports the user's self-learning;

is made to include, to provide upload and download for the learning emoticon, support the user's self-learning, and whenever the learning emoticon selected by the user in the first or second terminal device is executed, to this learning emoticon The combined emoticon data and data for foreign language learning are expressed to indicate the user's state, mood, emotion, doctor, facial expression, etc., and at the same time, it is characterized in that it is configured so that natural repeated learning of the foreign language is performed.

Configuration 2 of the present invention "Emoji system for foreign language learning using artificial intelligence and big data" is,

In providing an instant message service between the first terminal device and the second terminal device by relaying the server system,

It is made by combining data for foreign language learning and emoticon data, and when the data for foreign language learning and emoticon data are combined, data for foreign language learning is displayed around characters, pictures, figures, or symbols included in the emoticon data, but this data for foreign language learning is a character I emoticons for learning consisting of data related to pictures, figures, or symbols;

The learning emoticon is stored, the user's self-learning is supported, the user's own learning emoticon can be transferred to another user, and the learning emoticon is transmitted and exchanged with the second terminal device through the server system. a first terminal device on which the transmitted learning emoticon is executed;

The learning emoticon is stored, the user's self-learning is supported, the user's learning emoticon can be transferred to another user, and the learning emoticon is transmitted and exchanged with the first terminal device through the server system, exchanged or a second terminal device on which the transmitted learning emoticon is executed; and,

Provides an instant message service between the first terminal device and the second terminal device, provides upload and download for the learning emoticon, and transmits information about the learning emoticon between the first terminal device and the second terminal device a server system that relays, supports user's self-learning, and supports transfer of learning emoticons between users;

to provide upload and download for the learning emoticon, support the user's self-learning, support the learning emoticon transfer between users, and the learning selected by the user in the first terminal device or the second terminal device Whenever an emoticon is executed, emoticon data coupled to this learning emoticon and data for foreign language learning are displayed to indicate the user's state, mood, emotion, doctor, facial expression, etc. It is characterized in that it is configured to naturally repeat learning of a foreign language.

The composition of the present invention "method for providing emoticons for foreign language learning using artificial intelligence and big data" is,

In providing an instant message service between the first terminal device and the second terminal device by relaying the server system,

a learning emoticon generating step of generating one or more learning emoticons in which emoticon data and foreign language learning data are combined;

an uploading step of transmitting the learning emoticon generated by performing the learning emoticon generating step to a server system;

An installation step of selecting the learning emoticon uploaded to the server system, downloading it to the first terminal device and installing it;

a selective transmission step of selecting any one of the learning emoticons installed by performing the installation step and transmitting it to a second terminal device;

an execution step of receiving the learning emoticon transmitted by performing the selective transmission step and executing it in a second terminal device; and,

a self-learning step of performing self-learning by executing a self-learning mode when the user intends to perform self-learning by detecting whether the user is self-learning;

is configured to include, to provide upload and download for the learning emoticon, support the user's self-learning, and whenever the learning emoticon selected by the user in the first terminal device or the second terminal device is executed, this learning emoticon It is characterized in that emoticon data and foreign language learning data combined with the .

In addition, in the above configuration, when the user wants to transfer the learning emoticon by detecting whether the learning emoticon has been transferred, the emoticon transfer step of executing the emoticon transfer mode to trade the learning emoticon; characterized.

The present invention "emoticons, system, and instant message service system and method for foreign language learning using artificial intelligence and big data" is particularly, Each time the learning emoticon is executed on the smartphone, the learning content combined with the corresponding learning emoticon is repeatedly expressed, thereby conveying the user's intentions and emotions and simultaneously learning foreign languages naturally.

In addition, by using artificial intelligence, big data, and chatbots to control the motion of stationary emoticons, moving emoticons, and sound emoticons or vibrating emoticons, and configuring various types of learning to take place in a variety of ways, learning suitable for users is achieved, of course. , there is an effect of increasing the effect of repeated learning by allowing three-dimensional learning through visual, auditory, and tactile senses.

In addition, it has the effect of enabling efficient self-learning in various forms using artificial intelligence, big data, and chatbots, and enabling transfer of learning emoticons owned by users.

In addition, when combining data for foreign language learning with emoticon image data, two or more foreign languages are combined, and by combining data for learning Chinese characters for learning Chinese characters, two or more foreign languages and Chinese characters can be simultaneously learned.

1 is a system configuration diagram showing the configuration of an emoticon system for foreign language learning using artificial intelligence and big data according to the present invention;
2 is a block diagram showing the configuration of a terminal device according to the present invention;
3 is a block diagram showing the configuration of a server system according to the present invention;
4 is a view showing an example of an emoticon for learning according to the present invention;
5 is a view showing an example of a learning emoticon configured to learn two foreign languages among the learning emoticons according to the present invention;
6 is a view showing an example of the learning emoticons configured to learn three foreign languages among the learning emoticons according to the present invention;
7 is a diagram showing an example of a moving learning emoticon among the learning emoticons according to the present invention;
8 is a view showing an example of a sound learning emoticons combining voice data among the learning emoticons according to the present invention;
9 is a flowchart showing the flow of a method for providing emoticons for foreign language learning using artificial intelligence and big data according to the present invention;
10 is a flowchart showing the control flow of the selective transmission step in the present invention;
11 is a flowchart showing the control flow of the execution step of the present invention;
12 is a flowchart showing the control flow of the blind expression step in the present invention;
13 is a flowchart showing the control flow of the self-learning step in the present invention;
14 is a flowchart showing the control flow of the learning level update step in the present invention;
15 is a flowchart showing the control flow of the trading management step in the present invention;
16 is a view showing an embodiment of use according to the present invention;
17 is a view showing an embodiment of using the self-learning mode according to the present invention;
18 is a view showing another embodiment of the self-learning mode according to the present invention.

In describing the embodiments of the present invention, additional descriptions that may overlap or limit the meaning of the invention may be omitted in describing the embodiments.

Prior to the detailed description, in light of the environment in which the singular/plural are used without clearly distinguishing the singular/plural in the use of the Korean language even though it is described as a singular expression in the present specification, and the general terminology environment in the field, the concept of the invention It is used in the meaning including plural expressions unless contrary to the contrary, contradictory in interpretation, or otherwise clearly meant. In addition, 'comprising', 'having', 'comprising', 'comprising', etc., which have been or may be described herein, indicate the presence or possibility of adding one or more other features or components or combinations thereof. It should be understood as not precluding.

Also, terms including ordinal numbers such as first, second, etc. used in the present invention may be used to describe the elements, but the elements should not be limited by the terms. The terms are used for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, the second component may also be referred to as a first component.

In addition, in the description of the present invention, if it is determined that a detailed description of a related known technology may obscure the gist of the present invention, the detailed description thereof will be omitted. In addition, the accompanying drawings are provided for easy understanding of the technical spirit of the present invention, and it should not be construed as limiting the technical spirit of the present invention by the accompanying drawings.

Hereinafter, the configuration of the present invention will be described in detail.

Learning Emoticons (200)

Learning emoticons according to the present invention is configured by combining data for foreign language learning with emoticon data.

The emoticon data consists of emoticon image data consisting of contents to be transmitted through emoticons. For example, it may be composed of design data such as characters, pictures, letters, figures, etc. representing the user's state, mood, emotion, and the like.

In the case of a stationary emoticon for learning, foreign language learning data is combined with one emoticon image data, and in the case of a moving learning emoticon, foreign language learning data is combined with a plurality of emoticon image data for making a movement. In the case of a sound learning emoticon, it is composed of emoticon image data combined with voice data and foreign language learning data. In the case of a vibration learning emoticon, data representing a control signal for controlling the vibration element (eg, vibration motor) of the terminal device and foreign language It is composed by combining the training data.

The foreign language learning data may include any one or more of one or more word data for learning a foreign language, one or more conversation data, one or more idiom data, or one or more grammar data. For example, it is possible to compose an emoticon for learning by combining conversation data with the speech bubble of the emoticon. In this case, it is possible to compose an emoticon for learning by further combining words suitable for a background image or motion. Similarly, idioms, grammar, and other content to be learned can be naturally combined with emoticon image data to compose an emoticon for learning.

The foreign language learning data may be composed of one or more foreign language data to be learned. For example, one or more foreign languages among foreign languages such as English, Japanese, Chinese, German, French, German, Russian, and Italian may be displayed simultaneously or sequentially to enable the simultaneous acquisition of one or more foreign languages. In this case, phonetic symbols representing foreign language pronunciations may be combined together to form a structure.

It is preferable that the foreign language learning data include one or more foreign language data to be learned and mother language data representing the data. In this case, the number and order of expression of the foreign language data and the native language data may be configured differently. For example, if the foreign language you want to learn is English, your mother tongue is Korean, and you want to display English data three times and Korean data once while one learning emoticon is running, “English -> Korean -> English -> It can be configured in the same way as "English". Since native language data is easy to recognize and remember, it is possible to configure fewer expressions than foreign language data.

The foreign language data and the native language data may be configured to be separately expressed.

For example, in the case of the blind expression mode, it can be configured to display only foreign language data at first, and then display the native language data by the user's selection. That is, when the learning emoticon is executed, only emoticon data and foreign language data are initially displayed, and if the user selects thereafter, it can be configured to further express the mother language data.

This blind expression mode is not only to improve learning efficiency, but also to prevent foreign language data and native language data from being continuously displayed in the case of an emoticon for learning that has already been learned. For example, if the foreign language data coupled to the learning emoticon is “May I help you?”, and the native language data for this is “Can you help me?” If you do not know its meaning and request that the native language data be displayed (eg, if you touch), then the native language data is only displayed more, thereby improving learning efficiency and preventing unnecessary display of native language data.

When configuring an emoticon for learning by combining data for foreign language learning with emoticon data, it is preferable to combine voice data (pronunciation data) for a foreign language together. For example, it is possible to configure voice data (pronunciation data) of a foreign language and voice data (pronunciation data) of a native language to be displayed simultaneously or sequentially, or only one of them with a different number of times of expression. In addition, a specific background sound or sound effect may be further combined to represent foreign language voice data, native language voice data, and the like.

The foreign language learning data may be configured differently for each subject, group, conversation partner, and purpose. For example, if you use 10 words to compose a learning emoticon (a stationary learning emoticon, or a moving learning emoticon, or a sound learning emoticon, or a vibration learning emoticon), you can configure it to have a specific topic when selecting the word. .

The foreign language learning data may be configured such that the foreign language learning data coupled to two or more learning emoticons form a learning range of a certain range for each topic, group, conversation partner, and purpose. For example, it may have a subject or purpose such as an elementary school English course, a middle school Japanese course, a high school Chinese course, a university German course, a business conversation expression range, a foreign language conversation range for travel, and a daily conversation expression range.

For reference, in the case of KakaoTalk, there are 33 emoticons for stationary emoticons, 24 emoticons for moving emoticons, 24 emoticons for sound emoticons, and 16 emoticons for large image size emoticons. They are sold in bundles for a specific price.

There are about 200 essential English words for elementary school.

Therefore, if each learning emoticon is combined so that about 10 words are combined into one learning emoticon, 24 of these learning emoticons combined with 10 words are combined to form a learning emoticon that can learn all elementary school words. can do.

As another example, when each learning emoticon is composed by combining about 3 words in one learning emoticon, learning emoticons that can learn all elementary school words in 3 sets of 24 learning emoticons are combined. can be configured. Data for learning other foreign languages, such as conversations, idioms, and grammar, can be configured in the same way. Learning emoticons for other topics, purposes, and learning ranges can be configured similarly.

As another configuration example, using KakaoTalk's service, which allows you to use emoticons for a monthly fee, using a specific number of learning emoticons or learning emoticons with a specific topic, learning scope by topic, group, conversation partner, and purpose can be configured to have

In the case of expressing foreign language learning data coupled to learning emoticons, the foreign language learning data may blink at regular time intervals to induce concentration and improve the learning effect, or by using parentheses, learning emoticons can be configured.

For example, in the case of configuring an emoticon for learning that makes a moving sound, when voice data is output, concentration can be induced by causing words or text data representing conversations to blink at regular intervals. Alternatively, it can be configured to improve the learning effect by covering a specific part using parentheses, etc.

The foreign language learning data may be configured by further combining advertisement data. For example, advertisement data may be combined with the background screen of the emoticon for learning, or advertisement data may be combined with a character's motion, clothes, and props to be worn so that natural advertisements can be made.

When combining the emoticon data and foreign language learning data, block data including the hash value of the transaction information of the corresponding learning emoticon is further combined with a chain to automatically secure the integrity and legitimacy of the transaction information for high-speed learning It is characterized in that the emoticon can be searched.

This learning emoticon is to secure the individuality of the learning emoticon and the safety of transactions by combining blockchain technology with the learning emoticon, and to make a quick search when searching.

Since the block chain technology for storing block data including hash values for each digital information in a chain is as well known, a detailed description thereof will be omitted.

The learning emoticon may further include data for learning Chinese characters that can learn Chinese characters when combining data for foreign language learning and emoticon data.

The data for learning Chinese characters includes data indicating the number of Chinese characters, form, meaning, sound, stroke order, writing process, etc. It may be configured to include any one or more of the indicated data.

For example, the background image of learning emoticons or the movement of characters, etc. of Chinese characters, etc. (六書): data (pictures, symbols, letters, numbers, etc.) You can further combine emoticons for learning.

The learning emoticon may be configured to be displayed on the initial screen in the case of a locked screen of the terminal device. For example, through the message display setting function of the terminal device, it is possible to configure the learning emoticon to be displayed even in a locked screen state so that learning is performed. Similarly, it can be configured to be displayed on the screen being used or other screens.

Learning emoticon system (100)

The learning emoticon system, as shown in FIG. 1, stores the learning emoticons, supports the user's self-learning, and transmits and exchanges the learning emoticons with the second terminal device 120 through the server system 130 , the first terminal device 110 in which the exchanged or transmitted learning emoticon is executed, the learning emoticon is stored, the user's self-learning is supported, and the first terminal device 110 through the server system 130 Transmits and exchanges the learning emoticon with the second terminal device 120 in which the exchanged or transmitted learning emoticon is executed, and provides an instant message service between the first terminal device 110 and the second terminal device 120 and provides upload and download for the learning emoticon, relays information transmission on the learning emoticon between the first terminal device 110 and the second terminal device 120, and supports the user's self-learning, It can be configured to include a server system 130 that supports the transfer of emoticons for learning.

Each of the above components will be described in detail as follows.

The first terminal device 110 and the second terminal device 120

The first terminal device and the second terminal device are composed of respective terminal devices that provide an instant message service, and are distinguished by attaching ordinal numbers such as 1st and 2nd for convenience of description. Each terminal device may be configured with the same terminal device or may be configured with different terminal devices. When it is necessary to separately explain each terminal device, add an ordinal number such as “first terminal device” and “second terminal device” to distinguish and explain. It will be described collectively.

The first terminal device and the second terminal device include a smart phone, a portable terminal, a mobile terminal, a personal digital assistant (PDA), and a portable multimedia player (PMP) terminal. , navigation terminal, personal computer, notebook computer, tablet PC, wearable device, smart watch, glass-type terminal (Smart glass), IPTV ( Internet protocol television), a smart TV, and a flexible terminal may be configured as various terminals. Since the operation of each terminal device is as well known, a detailed description thereof will be omitted.

As shown in FIG. 2 , the first terminal device and the second terminal device are configured to include a display unit 111 , an audio output unit 112 , a control unit 114 , a communication unit 115 , and a storage unit 116 . As a common component, it is configured to further include a vibration generating unit 113 in some cases.

The display unit 111 includes a liquid crystal display (LCD), a thin film transistor liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), and a flexible display. ), a three-dimensional display (3D display), LED (Light emitting diode), and the like, and instant message service contents and learning emoticons are displayed.

The audio output unit 112 is configured with a speaker, a buzzer, an earphone, and the like, and foreign language learning data including the audio data is output.

The vibration generator 113 includes a vibration motor and a control circuit for controlling the vibration motor, and generates vibration by controlling the operation of the vibration motor according to a vibration control signal coupled to the foreign language learning data.

The control unit 114 is composed of a microprocessor or a computer, and the display unit 111 , the audio output unit 112 , the vibration generator 113 , the communication unit 115 , and the storage unit 116 . By controlling the operation, the instant message service is made, and the execution of the learning emoticon is controlled. The control unit 114 may be configured to perform an artificial intelligence function by performing an artificial intelligence algorithm.

The communication unit 115 is configured as a wired communication device or a wireless communication device that performs wired or wireless communication with another terminal device through the server system 200 . For example, it may be composed of a wired Internet communication device, a wireless Internet communication device, a cloud, Bluetooth, Wi-Fi, a USB communication device, an infrared communication device, RFID, Zigbee, and the like.

The storage unit 116 is made of an internal memory and an external memory controlled by a microprocessor or computer, and information about emoticons for learning, etc. is stored.

Artificial intelligence and big data may be configured in the control unit 114 and the storage unit 116 in some cases.

The configuration and operation of the display unit 111 , the audio output unit 112 , the vibration generating unit 113 , and the communication unit 115 are as well known, and thus detailed descriptions thereof will be omitted. In addition, the configuration and operation of the control unit 114 made of a microprocessor or computer, and the storage unit 116 for storing information on the emoticon for learning, etc. under the control of the control unit 114 are as well known, so the detailed description thereof is omitted.

Server system (130)

As shown in FIG. 3, the server system 130 includes a communication server 131, a main server 132, an artificial intelligence server 133, a big data server 134, a self-learning server 135, and a level inference server. (136), the transfer management server 137, the customer management server 138, the billing server 139, the instant message server 140, and the backup server 141 is configured by combining as needed.

The communication server 131 communicates with the first terminal device 110 and the second terminal device 120 through the communication network 1 .

The artificial intelligence server 133 enables self-learning and various and efficient learning by using machine learning technology or deep learning technology. It can be configured using ANN (Artificial Neural Network), CNN (Convolutional Neural Network), RNN (Recurrent Neural Network), GAN (Generative Adversarial Networks, GAN), etc.

The big data server 134 stores and manages data on emoticons for learning, data on learning, and massive data on self-learning.

The self-learning server 135 manages a user's learning level, learning progress, learning data, and the like, and provides interactive learning and self-learning functions through a chatbot. For example, conversation with a chatbot with artificial intelligence by recognizing the user's conversation contents through voice recognition and outputting the contents corresponding to the recognized contents (outputting the stored voice data or outputting the conversation contents through voice synthesis) can provide learning.

The level inference server 136 infers the user's learning level by detecting the user's learning level, learning progress, learning data, and the like. That is, the user's learning level is inferred using the data on the amount of learning according to each learning level and the data on the amount of learning according to the learning levels of other users.

The user's learning level is used when recommending a learning emoticon, performing self-learning, recommending another user of a similar level, or transferring the learning emoticon.

The transfer management server 137 manages the transfer and transfer related data of the learning emoticons transferred between users by sale, gift, and the like. At this time, it can be configured to secure the integrity and legitimacy of the transferred learning emoticons using blockchain technology and to manage the transfer history.

The customer management server 138 manages data about the user, the billing server 139 performs billing for a service that incurs costs, the instant message server 140 provides an instant message service function, and a backup server Reference numeral 139 backs up various data, and the main server 132 controls each operation of the server system 130 .

The communication server 131, main server 132, artificial intelligence server 133, big data server 134, self-learning server 135, level inference server 136, transfer management server 137, customer management The detailed configuration and operation of the server 138, the billing server 139, the instant message server 140, and the backup server 139 are the same as those well known, and thus detailed descriptions thereof will be omitted.

The server system 130 configured in this way communicates with the first terminal device 110 and the second terminal device 120 to provide chatting or relay chatting, and provides an instant message service and a learning emoticon. make it possible to provide

In addition, the server system may have a learning emoticon market or may be a server system that relays the learning emoticon market. Provides a function that can be installed in a terminal device. Therefore, the server system can be configured to operate and manage the learning emoticon database (big data), and performs a payment function when the download to the first terminal device or the second terminal device is in progress. It can be configured to include a billing server.

In addition, the server system has identification information of the first terminal device and the second terminal device, and can perform a membership registration procedure, and can operate a database such as member management and billing management.

How to provide educational emoticons

As shown in FIG. 9, the method of providing emoticons for learning includes a learning emoticon creation step (S100) of combining emoticon data and foreign language learning data into one to create an emoticon for learning, and an uploading step (S200) of transmitting it to the server system; , an installation step (S300) of downloading and installing the learning emoticon from the user terminal device, a selective transmission step of selecting any one of the installed learning emoticons and transmitting it to the other user (S400), and the learning emoticon transmitted by the other user The execution step (S500) of receiving and executing the information, the self-learning step (S600) supporting the user's self-learning, and the emoticon transfer step (S700) of transferring the learning emoticons in use through sale or gift, etc. are performed as needed. It can be configured by selectively combining them.

In the learning emoticon generation step (S100), foreign language learning data and emoticon data are combined to generate learning emoticons. When foreign language learning data and emoticon data are combined, word data or conversation data may be displayed around characters, pictures, figures, or symbols included in the emoticon data to be configured. In this case, the foreign language learning data may be composed of data related to a character, picture, figure, or symbol, and word data or voice data may be sequentially output according to the movement of the character.

In addition, when displaying the foreign language learning data included in the learning emoticon by executing the learning emoticon, it is possible to configure the foreign language data and the native language data to be displayed separately, as well as the native language data at the user's request after the foreign language data is expressed. It can be configured to be displayed (blind expression mode).

The selective transmission step (S400), as shown in FIG. 10, detects whether or not to search for a learning emoticon to be transmitted through a keyword, and when the user inputs a search keyword, corresponding to the entered keyword (or Keyword selection step (S410) of expressing a list of emoticons for learning (related to the input keyword); a list selection step (S420) of displaying a list of learning emoticons requested by the user when the user wants to select a learning emoticon to be transmitted from the learning emoticon list; After the keyword selection step (S410) or the list selection step (S420) is performed to display the list of learning emoticons, wait for the selection of the learning emoticon to be transmitted and transmit the selected learning emoticon to the other user terminal device (S430); and a transmission history storage step (S440) of storing a transmission history (usage data) for the learning emoticon transmitted after performing the transmission step (S430).

In the execution step (S500), as shown in FIG. 11, when a learning emoticon is received, it is determined whether to download and install the learning emoticon from the receiver terminal device, and if it is determined to install the learning emoticon, the corresponding learning emoticon is installed. Recipient installation step of downloading and installing (S510); When it is determined whether the learning emoticon display method set by the user is the blind expression mode, when the learning emoticon is executed, only foreign language data is displayed first, and then, if the user's native language display request is requested, the native language data is further displayed. step (S520); When the learning emoticon display method set by the user is not in the blind expression mode, a general expression step of expressing both foreign language data and native language data when the learning emoticon is executed (S530); And, it may be configured to include a reception history storage step (S540) of storing the reception history (use data) for the received learning emoticon.

In the blind expression step (S520), as shown in FIG. 12, it is determined whether the blind expression mode is in the blind expression mode, and in the case of the blind expression mode, the mother language data is not displayed when the learning emoticon is executed. The blind setting step (S521) ); After performing the blind setting step (S521), if it is determined that the learning emoticon is executed by waiting for the execution of the learning emoticon, the foreign language data display step of displaying only the foreign language data among the foreign language learning data coupled to the learning emoticon (S522); And, after performing the foreign language data display step (S522), the native language data display step of further expressing the native language data if it is determined that there is a native language data expression request by detecting whether there is a native language data expression request by the user (S523) It may be composed of

In this blind expression step (S520), when the learning emoticon is executed, only foreign language data is expressed at first for learning, and when the user does not know the meaning of the expressed foreign language data, when the native language data is requested (eg, touch the learning emoticon) ) by allowing more native language data to be expressed so that efficient learning takes place. That is, in the case of foreign language data already known through learning, the next learning can proceed without displaying the native language data. This is to reduce the learning time and improve the learning effect.

In the self-learning step (S600), as shown in FIG. 13, when it is determined that the self-learning mode is selected by detecting whether the self-learning mode is selected by the user, the environment setting for setting the self-learning environment When it is determined whether the environment setting mode is selected by the user by detecting whether the mode is recognized, it is determined whether the chatbot character is set and the learning level is set, and the chatbot character is set according to the user's input and the learning level is entered. (S610); Learning progress data reading step (S620) of reading the learning level and learning progress data of the user; Self-learning step (S630) of performing self-learning after performing the learning progress data reading step (S620); After performing the self-learning step (S630), it is detected whether there is a change in the user's learning level due to the self-learning, and when the learning level has changed, the learning level updating step of changing the user's learning level (S640) ; And, it may be configured to include a learning progress data storage step (S650) for storing data on the self-learning history.

In the self-learning step (S630), when the user selects an emoticon for learning or inputs a voice, the corresponding learning emoticon (or learning data) is selected and executed using artificial intelligence, big data, and chatbot to communicate with the chatbot. It provides a self-learning environment.

For example, when a user selects a specific emoticon for learning, data for learning a foreign language coupled to the emoticon for learning is displayed. Then, after recognizing the foreign language learning data coupled to the learning emoticon with reference to the big data server 134, the artificial intelligence server 133 displays the corresponding learning emoticon, or outputs a voice (conversation) through conversation self-learning will proceed. In this case, when the user enters a voice to perform learning, after recognizing the voice, a corresponding learning emoticon or voice (conversation) is expressed to perform interactive learning. It is desirable to proceed with the self-learning mode by using a moving learning emoticon that sounds.

In the learning level updating step (S640), as shown in FIG. 14 , when it is determined whether the ongoing learning has been completed and it is determined that the ongoing learning has been completed, the content to be learned at the user's current learning level and the learning goal a level target reading step of reading data for (S641); After performing the level target reading step (S641), a learning amount calculation step of reading and calculating the user's learning progress data (learning time, learning emoticon usage time, frequency of use, repetition number, pronunciation accuracy, etc.) and past learning progress data ( S642); and, when it is determined that the user's learning level update condition is satisfied as a result of performing the learning amount calculating step ( S642 ), a level updating step ( S643 ) of updating the user's learning level may be included.

The emoticon transfer step (S700), as shown in FIG. 15, detects whether the user is in the emoticon transfer mode for transferring the learning emoticons used by the user to another user, and if it is determined that the emoticon transfer mode is in the emoticon transfer mode, a transfer mediation step (S710) of detecting whether it is a sale or a purchase, registering it in the sales database in the case of a sale, and registering it in the purchase database in the case of a purchase to mediate the transfer of the learning emoticons (S710); As a result of performing the transfer mediation step (S710), when the transfer of the learning emoticon is completed, the transfer information of the learning emoticon is registered in the database and, if necessary, a right transfer step of charging a brokerage fee (S720); And, after performing the right transfer step (S720), it can be configured to include a previous data update step (S730) of updating the database for the previous history and possession information of the corresponding learning emoticon.

In this emoticon transfer step (S700), when learning of the learning emoticons possessed by the user is completed, the unnecessary learning emoticons can be transferred through paid or free sales. It is desirable to build the trading marketplace for the used learning emoticons in the server system, and the detailed configuration and operation are the same as those well known, so a detailed description thereof will be omitted.

<Example>

Hereinafter, the technical spirit of the present invention will be described in detail with reference to the accompanying drawings.

In this embodiment, the first terminal device and the second terminal device will be described by taking as an example a smart phone.

Also, in this embodiment, learning English among various foreign languages will be described as an example, and the mother language will be described with Korean as an example. In other words, it is explained using the example of Koreans learning English.

In addition, in this embodiment, the learning emoticon according to the technical idea of the present invention will be described as an example of a moving sound emoticon for learning.

In addition, in the present embodiment, the foreign language learning data coupled to one learning emoticon includes one conversation data, three word data, voice data representing foreign language (English) pronunciation, and the meaning of the foreign language data as texts. It will be described by taking as an example the data of the native language represented by . At this time, the one conversation data is “May I help you?”, the three word data are “box”, “hat”, and “orange”, and the native language data is “Can I help you?”, “box”, and “hat”. "," and "orange" will be described as an example. Accordingly, the voice data of the present embodiment is composed of English pronunciations such as “May I help you?”, “box”, “hat”, and “orange”. The voice data composed of foreign language (English) pronunciation will be described as an example of being executed once when the operation of the learning emoticon is executed once.

In addition, the emoticon data in this embodiment will be described by taking as an example that a box is opened and a nurse character appears, lifts a tool (spanner) and speaks. Therefore, the emoticon data is composed of each frame data that implements the movement, that is, image data constituting each frame, and according to the flow of each emoticon image data, data for foreign language learning is arranged and combined at an appropriate location in this embodiment. Compose an emoticon for learning by example.

In addition, in this embodiment, the server system provides an emoticon market for learning, and it will be described that it is possible to upload and download emoticons for learning. That is, when an emoticon for learning is created and uploaded to the emoticon market for learning, the terminal device user downloads it, installs it in the terminal device, and uses it. The learning emoticon market can be configured by creating a separate zone or by uploading the learning emoticon according to the present invention to an existing emoticon market.

In addition, in this embodiment, the server system includes a server, a big data server, a self-learning server, a level inference server, and a transfer management server to support the self-learning mode and to support the transfer of the learning emoticon as an example. .

The reason for configuring the present embodiment in this way is that other embodiments according to the technical idea of the present invention can be easily configured from the present embodiment.

In describing the present embodiment, the same reference numerals are used for the same or similar components for convenience of description.

Hereinafter, the configuration, operation and effect of the present embodiment will be described.

First, as shown in FIG. 9 , one or more learning emoticons are created in which emoticon data and foreign language learning data are combined by performing a learning emoticon generation step ( S100 ). That is, emoticons for learning are created by combining emoticon image data, foreign language data, voice data, and native language data.

This will be described in detail again as follows.

In the present embodiment, the emoticon image data 220 consists of performing an action to speak while a box is opened and a nurse character appears, lifts a tool, and after creating image data of each frame performing such an action, this By combining foreign language learning data with each image data, a moving sound emoticon for learning is created.

This process is described in detail as follows.

First, as shown in Figs. 4 and 7, a nurse character appears from a box, lifts a tool, and makes each image data to be used as each frame constituting a speech motion.

7 (a) to (w) are 23 image data (frames) in which the box is opened and the nurse character appears and speaks while lifting the tool, and from (a) to (h) the box shakes and The process of moving the lid is shown with 8 image data, (i) to (n) are the process of opening the lid of the box and the nurse character appears with 6 image data, and (o) to (w) are this The process of a nurse character raising a tool (spanner) and speaking humorously is represented by 9 image data.

The time is set for each of the image data ((a) to (w)). For example, in (a) 0.1 second, (b) 0.1 second, (c) 0.1 second, (d) 0.1 second, (e) 0.1 second, (f) 0.1 second, (g) 0.1 s for (h), 0.1 s for (i), 0.1 s for (j), 0.1 s for (k), 0.1 s for (l), 0.1 s for (m), 0.2 for (n) sec, (o) 0.1 sec, (p) 0.1 sec, (q) 0.1 sec, (r) 0.1 sec, (s) 0.1 sec, (t) 0.1 sec, (u) 0.2 sec , 0.1 sec is set for (v), and 0.3 sec is set for (w).

The foreign language learning data is combined with each of the image data (a) to (w).

Foreign language learning data called “box” 214 indicating a box is combined with image data of (a) to (d), and foreign language learning data called “box” 214a is combined with image data of (e) and (f) In the image data of (g) and (h), foreign language learning data called “box” is combined, and foreign language learning data called “hat” 213 indicating a hat is combined in the image data of (k) to (m). In the image data of (n), data for foreign language learning called “hat” 213a is combined, and in the image data of (o) to (q), “orange” 212 indicating the orange color of the tool (spanner) ) is combined with foreign language learning data, and foreign language learning data of “orange” (212a) is combined with the image data of (r), and “May I help you?” (211) with the image data of (q) to (u). ), foreign language learning data, are combined according to each image data, and foreign language learning data of "Can you help?" (211a) is combined with the image data of (v) and (w). As shown in the image data of (o) and (q) to (w), two or more of the foreign language learning data may be displayed in one image data.

8 is a diagram illustrating a state of combining voice data.

In this embodiment, when the operation of the learning emoticon 200 is executed once, the voice data composed of the foreign language (English) pronunciation is executed once, so “May I help you?”, “box”, “hat”, After recording the pronunciation of "orange" to create audio data, it is combined with appropriate positions in each image data. In this embodiment, pronunciation data for a foreign language is not used, but pronunciation data for a foreign language, so only voice data for a foreign language is created.

In Fig. 8, audio data 214c of "box" is combined with (a) image data, etc., audio data 213c of "hat" is combined with (k) image data, etc., and audio data 212c of "orange" is combined. ) indicates that (o) is combined with image data, etc., and audio data 211c of “May I help you?” is (s) combined with image data, etc., respectively.

In this case, the main learning contents among the voice data may be configured by increasing the volume, and the additional learning contents may be configured by decreasing the volume. For example, when a word is output in a small sound and a conversation is output in a loud voice, the voice data of "box", "hat", and "orange" are configured to be a small sound, and "May I help you" The voice data of "?" can be configured to be loud. Then, the main learning content can be heard louder and the learning effect can be increased, and of course, it can cause interest.

After combining the training data and voice data with each image data, it is made into a video to make an emoticon for learning. That is, using video and video programs such as Photoshop, Illustrator, Movie Maker, Power Director, and GOM Mix, each image data combined with learning data and audio data are combined to create a moving sound learning emoticon.

After creating the learning emoticon 200 by performing the learning emoticon creation step (S100), an uploading step (S200) of transmitting it to the server system is performed.

That is, the emoticon for learning generated by performing the step of generating the emoticon for learning ( S100 ) is transmitted to the emoticon market and registered, so that the terminal device user can download and use it.

After performing the uploading step (S200), an installation step (S300) of downloading and installing the learning emoticon to the terminal device according to the user's selection is performed.

That is, the terminal device user selects and downloads a desired emoticon from among various learning emoticons registered in the market, and installs the selected emoticon on the user's terminal device. (In this embodiment, one learning emoticon is described, but in reality, several learning emoticons are grouped together (e.g., in the case of KakaoTalk, 33 stop learning emoticons, 24 moving learning emoticons, and sound learning emoticons) 24 emoticons, 16 large emoticons) The above process can be done.)

After performing the installation step (S300), a selective transmission step (S400) is performed to transmit information on the learning emoticon selected by the user.

For example, if the user of the first terminal device 110 selects any one of the learning emoticons installed on his or her terminal device (smartphone) in the chat room and transmits it to the user of the second terminal device 120 in the same chat room, this information is transmitted to the second terminal device 120 through the server system 130 .

Then, the second terminal device 120 performs the execution step (S500) to receive and execute the learning emoticon transmitted from the first terminal device 110 .

That is, by performing the selective transmission step (S400), the information on the learning emoticon transmitted by the user of the first terminal device 110 through the server system 130 is received from the second terminal device 120 and executed.

At this time, if the learning emoticon is not installed in the second terminal device 120, the receiver installation step (S510) of installing the learning emoticon may be further executed. This is used when installation is required to run learning emoticons.

On the other hand, when the learning emoticon 200 is executed in the terminal device through the above processes, the foreign language learning data 210 coupled to the learning emoticon is displayed so that natural learning is performed.

That is, as shown in FIG. 2 , a learning emoticon to be transmitted is selected on the display unit 111 made of a touch screen and transmitted to the terminal device of the conversation partner through the communication unit 115. Information is received through the communication unit 115, displayed through the display unit 111, and voice data is output through the audio output unit 112. Naturally, you can learn a foreign language repeatedly. In the drawings, reference numeral 116 denotes a storage unit storing emoticons for learning, 113 denotes a vibration generator, and 114 denotes a control unit that controls the operation of each unit.

In this embodiment, when the learning emoticon is executed, as the operation of the learning emoticon made of a video proceeds, "box (foreign language character) -> box (foreign language pronunciation, voice) -> box (native language character) -> hat (foreign language character) -> hat (foreign pronunciation, voice) -> hat (native language) -> orange (foreign text) -> orange (foreign pronunciation, voice) -> orange (native language) -> May I help you? (foreign text) -> May I help you? (foreign language pronunciation, voice) -> Foreign language learning data of "May I help you? (native language text)" is displayed.

Then, whenever the learning emoticon is executed, the user can naturally learn foreign language learning data (conversation, words, pronunciation, etc.) repeatedly.

16 shows an example in which the learning emoticon 200 according to the present invention is executed in a chat room. Can you help me?", indicating that learning in English and Japanese is taking place while conveying the speaker's intentions by sending an emoticon for learning.

The operations of the selective transmission step (S400) and the execution step (S500) will be described in detail as follows.

As shown in Fig. 10, in the selective transmission step (S400), when selecting and transmitting an emoticon for learning, input a keyword to determine whether to search for and select the emoticon for learning or whether to select it from the list of emoticons for learning. , when the user inputs a keyword, a keyword selection step (S410) of displaying a list of learning emoticons corresponding to the entered keyword (or related to the entered keyword) is performed, and when the user selects from the list of learning emoticons, it is requested A list selection step (S420) of displaying the entire list of emoticons for learning is performed. After performing the keyword selection step (S410) or the list selection step (S420) to display the list of learning emoticons, wait for the selection of the learning emoticon to be transmitted and transmit the selected learning emoticon to the other user terminal device (S430) do. After performing the transmission step (S430), a transmission history storage step (S440) of storing the transmission history (use data) for the transmitted learning emoticon is performed.

The execution step (S500) is, as shown in FIG. 11, when a learning emoticon is received, it is determined whether to download and install the corresponding learning emoticon from the receiver terminal device, and if it is determined to install the learning emoticon, the receiver installation step ( S510) to download and install the corresponding learning emoticon. Thereafter, it is determined whether the learning emoticon display method set by the user is in the blind expression mode, and in the case of the blind expression mode, the blind expression step (S520) is performed to display only foreign language data when the learning emoticon is executed first, and then input the user's input. Wait, if there is a user's native language display request within a certain period of time, the native language data will be further displayed. That is, in the beginning, only foreign language data is displayed to induce learning, and if the user (learner) does not know the meaning of this foreign language data, the learning proceeds by requesting the display of the native language data (touching the emoticon for learning) to express the native language. .

When the learning emoticon display method set by the user is not the blind expression mode, the general expression step (S530) of expressing both foreign language data and native language data when running the learning emoticon is performed and then the reception history (learning history) for the learning emoticon received , the use data) is stored in the reception history storage step (S540) is performed.

The blind expression step (S520), as shown in FIG. 12, may include a blind setting step (S521), a foreign language data display step (S522), and a native language data display step (S523).

On the other hand, when the user performs self-learning by performing self-learning, as shown in FIG. 13 , self-learning is performed by performing a self-learning step ( S600 ).

First, the learning environment setting step (S610) is performed to set the learning level of the chatbot character and the user, and then the learning progress data reading step (S620) is performed to read the learning data and the learning level so far. Thereafter, the self-learning is performed by sequentially performing the self-learning step (S630), the learning level updating step (S640), and the learning progress data storage step (S650).

In the self-learning step (S630), when the user selects a learning emoticon or inputs a voice, the artificial intelligence server 133 refers to the big data server 134 and recognizes the foreign language learning data coupled to the learning emoticon. After that, it provides a learning environment that communicates with the chatbot by expressing a corresponding learning emoticon or outputting a voice (conversation).

In the learning level updating step (S640), as shown in FIG. 14, the learning level is automatically updated by sequentially performing the level target reading step (S641), the learning amount calculating step (S642), and the level updating step (S643). .

17 is a diagram illustrating a process of indicating pronunciation accuracy when a user pronounces an emoticon for learning combined with the content to be learned by the chatbot leading the learning during the execution of the self-learning mode, and then pronouncing the same. ) is a window indicating self-learning behavior, 202 is a window indicating the user's learning level, 203 is a window indicating a learning mode, 204 is a voice data graph of a foreign language to be learned, and 205 is a window indicating the user's learning level. A graph of voice data input according to , 206 indicates windows indicating the pronunciation accuracy of the user, respectively.

18 is a diagram illustrating a process of performing a self-learning mode through conversation by expressing a learning emoticon corresponding to the user's pronunciation by recognizing the user's pronunciation of a foreign language by voice recognition. Reference numeral 207 denotes a graph of voice data pronounced by the user, 208 denotes a window representing the user's pronunciation recognized by artificial intelligence in letters, and 209 denotes a voice graph of foreign language data included in the learning emoticon.

On the other hand, when the user wants to transfer the learning emoticon through sale, gift, etc., as shown in FIG. 15 , the emoticon transfer step S700 is performed. That is, the learning emoticon is transferred by sequentially performing the transfer mediation step (S710), the right transfer step (S720), and the previous data update step (S730). At this time, by further combining the block data-formed transaction information including the hash value with the learning emoticon with a chain, the integrity and legitimacy of the transaction information can be secured and high-speed search can be made possible.

However, in the above embodiment, the box is opened and the nurse character appears and lifts the tool and speaks is divided into a plurality of image data, and data for foreign language learning (English conversation data, English word data) is divided into a plurality of image data. , English pronunciation voice data, native language data, etc.) has been described as an example of configuring an emoticon for learning that makes a moving sound by combining it, but the technical idea of the present invention is not limited thereto.

That is, image data in which various characters perform various motions in various backgrounds may be configured. In addition, in composing the image data, specific advertisement content can be expressed and direct or indirect advertisement can be configured through an emoticon for learning, as well as using blinking, parentheses, and fade out effects to increase concentration and learn Note that it can be configured to enhance the effect.

In addition, in the above embodiment, it has been described that one learning emoticon is configured as an example, but the technical idea of the present invention is not limited thereto.

In other words, it is possible to configure a plurality of learning emoticons in a bundle to learn a foreign language of a specific content, as well as to learn a foreign language of a specific content using several bundle units made up of a plurality of learning emoticons. configurable. For example, in the case of KakaoTalk, 33 stationary emoticons are sold in a bundle, 24 emoticons are sold in a bundle in case of moving or sound emoticons, and 16 emoticons are sold in a bundle for large emoticons. Since they are sold in bundles, in the case of stationary learning emoticons, 33 sets of emoticons can be configured to learn a specific topic, and in the case of moving learning emoticons, 24 emoticons for learning can be made in a bundle so that learning of a specific topic takes place. configurable. In another embodiment, learning with a specific range may be configured using several of these bundles.

In addition, in the above embodiment, learning English as a foreign language has been described as an example, and English as a foreign language to be learned is described as an example, but the technical idea of the present invention is not limited thereto.

That is, it can be configured to enable learning in all languages such as English, Japanese, Chinese, German, French, Spanish, etc., as well as learning emoticons for learning two or more foreign languages at the same time as shown in FIG. Note that it is configurable. 6 is a diagram showing that three foreign languages can be learned simultaneously in English, Japanese, and Chinese. Reference numeral 211 denotes the first English conversation learning data, 211a denotes the first conversation native language data, and 211b denotes the first Japanese language. Conversation learning data, (211c) is the first Chinese conversation learning data, (212) is the first English unit foreign language learning data, (212a) is the first word mother tongue data, (212b) is the first Japanese unit foreign language learning data, ( 212c) is the first Chinese group foreign language usage data, (213) is the second infant group foreign language usage data, (213a) is the second word mother language data, (213b) is the second Japanese language group foreign language usage data, and (213c) is the second language group foreign language usage data 2 Chinese group foreign language usage data, (214) is the 3rd English unit foreign language usage data, (214a) is the 3rd word mother language data, (214b) is the 3rd Japanese language group foreign language usage data, (214c) is the 3rd Chinese language group foreign language Each of the wet data is shown.

In addition, in the above embodiment, one conversation sentence and three words have been described as an example, but it is to be noted that the technical idea of the present invention is not limited thereto. That is, it is revealed that a larger number of foreign language learning data can be combined with one image data, and conversely, only one foreign language learning data can be combined and configured.

Also, in configuring foreign language learning data, it is clarified that foreign language learning data can be configured by determining the amount and range for each subject, group, conversation partner, and purpose. For example, by using a plurality of learning emoticons, it is possible to specialize in elementary school English, middle school English, high school English, daily conversation English, travel conversation, business English, and business English according to specific situations. The same is true for other foreign languages.

In addition, although the above embodiment has been described as an example of an emoticon for learning that makes a moving sound, the technical idea of the present invention is not limited thereto.

That is, it is possible to configure a stopped learning emoticon by combining the foreign language learning data to be learned with one image data, as well as combining the control signal to control the operation of the vibration generating unit 113 according to the operation of the learning emoticon It should be noted that the vibration motor can be configured to operate and generate vibration.

In addition, in the above embodiment, it has been described as an example of learning a foreign language by combining only the foreign language learning data with the learning emoticon, but the technical idea of the present invention is not limited thereto.

That is, as shown in FIG. 5 , it is revealed that data for learning Chinese characters can be combined to learn Chinese characters while learning a foreign language. In Fig. 5, reference numeral 115 denotes "天" which is the first thousand character learning data, 115a denotes "heavenly heaven" which is the first thousand character analysis data, and 116 denotes "地" which is the second thousand character learning data. , and (116a) represents the second Thousand Character interpretation data, “Earth Ji”, respectively.

In addition, in combining data for learning Chinese characters, various data such as radicals, form, meaning, sound, stroke order, process of writing Chinese characters, synonyms, antonyms, related words, thousand characters, idioms, common Chinese characters, etc. It is shown that it is possible to combine

In addition, in the above embodiment, it has been described that the learning emoticon is executed in the chat room as an example, but the technical idea of the present invention is not limited thereto.

That is, it is possible to configure the learning emoticon to be displayed on the initial screen, or even in the state of the screen being used or the locked screen, so that learning is performed.

1: communication network 110: first terminal device
111: display unit 112: audio output unit
113: vibration generating unit 114: control unit
115: communication unit 116: storage unit
120: second terminal device 130: server system
131: communication server 132: main server
133: artificial intelligence server 134: big data server
135: self-learning server 136: level inference server
137: previous management server 138: customer management server
139: billing server 140: instant message server
141: backup server
200: learning emoticons 210: foreign language learning data
211: first English conversation learning data 211a: first conversation translation data
211b: first Japanese conversation learning data 211c: first Chinese conversation learning data
212: first English word foreign language learning data 212a: first word translation data
212b: foreign language learning data for the first language group 212c: foreign language learning data for the first language group
213: Second infant group foreign language learning data 213a: Second word translation data
213b: Foreign language learning data of the second Japanese language group 213c: Foreign language learning data of the second Chinese group
214: Third English word foreign language learning data 214a: Third word translation data
214b: Foreign language learning data for the 3rd language group 214c: Foreign language learning data for the 3rd language group
215: First Thousand Characters Learning Data 215a: First Thousand Characters Solving Data
216: Second Thousand Characters Learning Data 216a: Second Thousand Characters Solving Data
220: Emoticon image data
S100: Emoji creation step for learning S200: Upload step
S300: installation step S400: selective transmission step
S410: keyword selection step S420: list selection step
S430: transmission step S440: transmission history storage step
S500: Execution step S510: Recipient installation step
S520: blind expression step S521: blind setting step
S522: Foreign language data display step S523: Native language data display step
S530: general expression step S540: reception history storage step
S600: self-learning step S610: learning environment setting step
S620: learning progress data reading step S630: self-learning step
S640: learning level update step S641: level target reading step
S642: learning amount calculation step S643: level updating step
S650: Learning progress data storage step S700: Emoticon previous step
S710: Transfer brokerage step S720: Rights transfer step
S730: previous data update step

Claims (29)

In providing an instant message service between the first terminal device and the second terminal device by relaying the server system,
The emoticons provided by the instant message service are,
It is made by combining data for foreign language learning and emoticon data, and when the data for foreign language learning and emoticon data are combined, emoticons for learning configured by displaying data for foreign language learning around characters, pictures, figures, or symbols included in the emoticon data; Each time the emoticon for learning is executed, emoticon data coupled to the emoticon for learning and data for foreign language learning are expressed so that the user's state, mood, emotion, doctor, expression, etc. An emoticon for foreign language learning using artificial intelligence and big data, characterized in that it is composed. In providing an instant message service between the first terminal device and the second terminal device by relaying the server system,
It is made by combining data for foreign language learning and emoticon data, and when the data for foreign language learning and emoticon data are combined, data for foreign language learning is displayed around characters, pictures, figures, or symbols included in the emoticon data, but this data for foreign language learning is a character I emoticons for learning consisting of data related to pictures, figures, or symbols;
a first terminal device in which the learning emoticon is stored, the user's self-learning is supported, the learning emoticon is transmitted and exchanged with the second terminal device through a server system, and the exchanged or transmitted learning emoticon is executed;
a second terminal device in which the learning emoticon is stored, the user's self-learning is supported, the learning emoticon is transmitted and exchanged with the first terminal device through a server system, and the exchanged or transmitted learning emoticon is executed; and,
Provides an instant message service between the first terminal device and the second terminal device, provides upload and download for the learning emoticon, and transmits information about the learning emoticon between the first terminal device and the second terminal device A server system that relays and supports the user's self-learning;
is made to include, to provide upload and download for the learning emoticon, support the user's self-learning, and whenever the learning emoticon selected by the user in the first or second terminal device is executed, to this learning emoticon For foreign language learning using artificial intelligence and big data, characterized in that the combined emoticon data and foreign language learning data are expressed to indicate the user's state, mood, emotion, doctor, facial expression, etc. Emoji system. In providing an instant message service between the first terminal device and the second terminal device by relaying the server system,
It is made by combining data for foreign language learning and emoticon data, and when the data for foreign language learning and emoticon data are combined, data for foreign language learning is displayed around characters, pictures, figures, or symbols included in the emoticon data, but this data for foreign language learning is a character I emoticons for learning consisting of data related to pictures, figures, or symbols;
The learning emoticon is stored, the user's self-learning is supported, the user's own learning emoticon can be transferred to another user, and the learning emoticon is transmitted and exchanged with the second terminal device through the server system. a first terminal device on which the transmitted learning emoticon is executed;
The learning emoticon is stored, the user's self-learning is supported, the user's learning emoticon can be transferred to another user, and the learning emoticon is transmitted and exchanged with the first terminal device through the server system, exchanged or a second terminal device on which the transmitted learning emoticon is executed; and,
Provides an instant message service between the first terminal device and the second terminal device, provides upload and download for the learning emoticon, and transmits information about the learning emoticon between the first terminal device and the second terminal device a server system that relays, supports user's self-learning, and supports transfer of learning emoticons between users;
to provide upload and download for the learning emoticon, support the user's self-learning, support the learning emoticon transfer between users, and the learning selected by the user in the first terminal device or the second terminal device Whenever an emoticon is executed, emoticon data and foreign language learning data coupled to this learning emoticon are displayed to indicate the user's state, mood, emotion, doctor, facial expression, etc. An emoticon system for foreign language learning using artificial intelligence and big data. In providing an instant message service between the first terminal device and the second terminal device by relaying the server system,
a learning emoticon generating step of generating one or more learning emoticons in which emoticon data and foreign language learning data are combined;
an uploading step of transmitting the learning emoticon generated by performing the learning emoticon generating step to a server system;
An installation step of selecting the learning emoticon uploaded to the server system, downloading it to the first terminal device and installing it;
a selective transmission step of selecting any one of the learning emoticons installed by performing the installation step and transmitting it to a second terminal device;
an execution step of receiving the learning emoticon transmitted by performing the selective transmission step and executing it in a second terminal device; and,
a self-learning step of detecting whether the user is self-learning and performing self-learning by executing a self-learning mode when the user wants to self-learning;
is configured to include, to provide upload and download for the learning emoticon, support the user's self-learning, and whenever the learning emoticon selected by the user in the first terminal device or the second terminal device is executed, this learning emoticon A foreign language using artificial intelligence and big data, characterized in that emoticon data and foreign language learning data combined with the . How to provide educational emoticons. An instant message service system for providing an instant message service between a first terminal device and a second terminal device, the instant message service system comprising:
The instant message service system is an emoticon instant message service system for foreign language learning using artificial intelligence and big data, characterized in that it provides emoticons for learning made by combining data for foreign language learning and emoticon data. According to claim 1, wherein the learning emoticons,
Data for foreign language learning is displayed around the character, picture, figure, or symbol included in the emoticon data, but this data for foreign language learning is data related to the character, picture, figure, or symbol, and sequentially outputs data for foreign language learning according to the movement of the character. An emoticon for foreign language learning using artificial intelligence and big data, characterized in that it is composed. According to any one of claims 2 or 3, in the learning emoticon,
When this learning emoticon is executed by further combining the data for learning Chinese characters consisting of any one or more of incidental data, shape data, meaning data, sound data, and stroke order data of Chinese characters Each time, emoticon data combined with this learning emoticon, language learning data, and Chinese character learning data are displayed to indicate the user's state, mood, emotion, doctor, facial expression, etc. An emoticon system for foreign language learning using artificial intelligence and big data. According to any one of claims 2 or 3, The learning emoticons,
Data for foreign language learning is displayed around the character, picture, figure, or symbol included in the emoticon data, but this data for foreign language learning is data related to the character, picture, figure, or symbol, and sequentially outputs data for foreign language learning according to the movement of the character. An emoticon system for foreign language learning using artificial intelligence and big data, characterized in that it is composed. According to any one of claims 2 or 3, the foreign language learning data of the learning emoticon,
An emoticon system for foreign language learning using artificial intelligence and big data, characterized in that it comprises any one or more of one or more foreign language text data, one or more foreign language voice data, one or more native language text data, and one or more native language voice data. According to any one of claims 2 or 3, the foreign language learning data of the learning emoticon,
An emoticon system for foreign language learning using artificial intelligence and big data, characterized in that it comprises any one or more of one or more word data, one or more conversation data, one or more idiom data, and one or more grammar data composed of a foreign language to be learned. According to any one of claims 2 or 3, the foreign language learning data of the learning emoticon,
An emoticon system for foreign language learning using artificial intelligence and big data, characterized in that it consists of two or more kinds of foreign language learning data, and each foreign language learning data is displayed sequentially, simultaneously, or alternately. According to any one of claims 2 or 3, the foreign language learning data of the learning emoticon,
An emoticon system for foreign language learning using artificial intelligence and big data, characterized in that it is configured differently according to the purpose of learning a language, according to a group for learning a language, or according to a topic for learning a language. According to any one of claims 2 or 3, the foreign language learning data of the learning emoticon,
An emoticon system for foreign language learning using artificial intelligence and big data, characterized in that it is configured to have any one of an elementary school course, a middle school course, a high school course, a daily conversation, a business conversation, and a travel conversation by using one or more emoticons for learning. The data for foreign language learning that is displayed when the emoticon for learning is executed according to any one of claims 2 or 3,
An emoticon system for foreign language learning using artificial intelligence and big data, characterized in that it is configured to first express foreign language data among foreign language data and native language data constituting data for foreign language learning, and then further express native language data when there is a user input. According to any one of claims 2 or 3, in the learning emoticon,
An emoticon system for foreign language learning using artificial intelligence and big data, characterized in that the advertisement data coupled to the learning emoticon is displayed when the learning emoticon is executed by further combining the advertisement data. The method of claim 15, wherein the advertisement data,
An emoticon system for foreign language learning using artificial intelligence and big data, characterized in that it is combined with any one or more of the character's clothes, props, and background images included in the emoticon data. The method of claim 15, wherein the advertisement data,
An emoticon system for foreign language learning using artificial intelligence and big data, characterized in that it consists of any one or more of text data representing advertisements, picture data, figure data, and voice data. According to any one of claims 2 or 3, The learning emoticons,
An emoticon system for foreign language learning using artificial intelligence and big data, characterized in that it is displayed on the chatting screen, or on the screen in use, or on the initial screen in case of a locked screen. According to claim 3, The learning emoticons,
Artificial intelligence and Big, characterized in that it is configured to search for learning emoticons at high speed while further combining the block data including the hash value of the previous information of the learning emoticons with a chain to ensure the integrity and legitimacy of the previous information An emoticon system for foreign language learning using data. The method according to claim 7, wherein when combining data for learning Chinese characters,
Combine data for learning Chinese characters that describe the character's clothes, props, actions, or background images around the characters, pictures, figures, or symbols included in the emoticon data, but display them sequentially, simultaneously, or alternately according to the character's movements An emoticon system for foreign language learning using artificial intelligence and big data, characterized in that it is composed. The method of claim 7, wherein the data for learning Chinese characters,
An emoticon system for foreign language learning using artificial intelligence and big data, characterized in that it includes any one or more of thousand character data, lion acronym data, commercial Chinese character data, synonym data, antonym data, and related word data. According to any one of claims 2 or 3, wherein the server system,
An emoticon system for foreign language learning using artificial intelligence and big data, characterized in that it comprises a communication server, a main server, an artificial intelligence server, a big data server, a self-learning server, a level inference server, a customer management server, and a backup server. The method of claim 3, wherein the server system,
Emoticon for foreign language learning using artificial intelligence and big data, characterized in that it includes a communication server, main server, artificial intelligence server, big data server, self-learning server, level inference server, customer management server, backup server, and transfer management server system. 5. The method of claim 4, wherein when the user wants to transfer the learning emoticon by detecting whether the learning emoticon has been transferred, the emoticon transfer step of executing the emoticon transfer mode to perform the transfer of the learning emoticon; characterized by further comprising: A method of providing emoticons for foreign language learning using artificial intelligence and big data. The method of any one of claims 4 or 24, wherein the self-learning step comprises:
a learning environment setting step of determining whether an environment setting mode for setting a self-learning environment is selected, and setting a chatbot character and a learning level;
a learning progress data reading step of reading the user's learning level and learning progress data;
Self-learning step of conducting self-learning;
a learning level updating step of detecting whether the user's learning level has changed due to self-learning and changing the user's learning level when the learning level has changed; and,
a learning progress data storage step of storing data on the self-learning history; A method of providing emoticons for foreign language learning using artificial intelligence and big data, characterized in that it is configured to be sequentially performed, including The method of claim 25, wherein the self-learning step,
When the user selects the learning emoticon, the foreign language learning data coupled to the learning emoticon is analyzed, and when the user inputs a voice, the inputted content is analyzed through voice recognition, A method of providing emoticons for foreign language learning using artificial intelligence and big data, characterized in that it is performed by expressing or expressing corresponding learning data. The method of claim 25, wherein the updating of the learning level comprises:
a level target reading step of reading data on the content to be learned and the learning target at the user's current learning level;
a learning amount calculation step of reading and calculating the user's learning progress data (learning time, learning emoticon usage time, frequency of use, repetition number, pronunciation accuracy, etc.) and past learning progress data after performing the level target reading step; and,
When it is determined that the user's learning level update condition is satisfied as a result of performing the learning amount calculation step, a level update step of updating the user's learning level; Provide emoticons for foreign language learning using artificial intelligence and big data, comprising: Way. The method of claim 5, wherein the learning emoticon,
Emoticon instant for foreign language learning using artificial intelligence and big data, characterized in that data for foreign language learning is displayed around characters, pictures, figures, or symbols included in emoticon data, but this data for foreign language learning is data related to characters, pictures, figures, or symbols message service system. The method of claim 5, wherein the learning emoticon,
Data for foreign language learning is displayed around the character, picture, figure, or symbol included in the emoticon data, but this data for foreign language learning is data related to the character, picture, figure, or symbol, and sequentially outputs data for foreign language learning according to the movement of the character. An emoticon instant message service system for foreign language learning using artificial intelligence and big data, characterized in that it is configured.

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