CN112148773A - Game learning method based on big data - Google Patents
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Abstract
The invention provides a game learning method based on big data, which comprises the following steps: receiving a target Chinese character input by a user; mining relevant information of the target Chinese character from big data; extracting key information in the related information; mining an article object image pattern related to the key information from big data; determining a matching structure matched with the outline of the object image pattern in the composition structure of the target Chinese character; replacing the matching structure in the target Chinese character with the object image pattern to form a semi-graphic target Chinese character of the target Chinese character; and displaying the semi-graphic target Chinese characters.
Description
Technical Field
The invention relates to the technical field of intelligence, in particular to a game learning method based on big data.
Background
At present, the intelligent technology is applied to the teaching process, the teaching quality is improved, and the technology popularizing trend of various schools and training institutions is formed.
In the infant teaching, a teacher or a parent directly writes out Chinese characters for the infant to learn, books exist, the books can process the Chinese characters, images corresponding to the whole Chinese characters and the Chinese characters are displayed in one page, for example, a tree is drawn on the left, the tree is written on the right, and the infant can read the characters while seeing the images; some books exist, and through manual editing and design, a part of the Chinese characters is replaced by an visualized pattern, so that the purpose of recognizing the characters while viewing images can be achieved. All of these approaches require the editor to pre-edit the corresponding content and print it into the book. If the Chinese characters do not exist in the book, the teacher or parents cannot teach the infant to read the Chinese characters in a visualized and visual mode, which is very inconvenient.
Disclosure of Invention
The embodiment of the invention provides a game chemistry learning method based on big data, which is used for intelligently and quickly generating semi-graphic Chinese characters and assisting children in Chinese character teaching.
The embodiment of the invention provides a game learning method based on big data, which comprises the following steps:
receiving a target Chinese character input by a user;
mining relevant information of the target Chinese character from big data;
extracting key information in the related information;
mining an article object image pattern related to the key information from big data;
determining a matching structure matched with the outline of the object image pattern in the composition structure of the target Chinese character;
replacing the matching structure in the target Chinese character with the object image pattern to form a semi-graphic target Chinese character of the target Chinese character;
and displaying the semi-graphic target Chinese characters.
In one embodiment, the determining a matching structure matching with the outline of the object image pattern in the composition structure of the target chinese character includes:
judging the character type to which the target Chinese character belongs;
according to a splitting mode corresponding to the character type to which the target Chinese character belongs, performing structural splitting on the target Chinese character to obtain a substructure of the target Chinese character;
and determining a matching substructure matched with the outline of the image pattern of the object in the substructures of the target Chinese character, and taking the matching substructure as the matching structure.
In one embodiment, the determining the character type to which the target chinese character belongs includes:
and judging whether the target Chinese character is a single-body character or a multi-body character.
In an embodiment, the performing structure splitting on the target chinese character according to a splitting manner corresponding to a character type to which the target chinese character belongs to obtain a substructure of the target chinese character includes:
when the target Chinese character is a single-body character, the target Chinese character is decomposed into a plurality of strokes according to the minimum unit stroke, and each stroke is a substructure;
when the target Chinese character is a combined character, splitting the target Chinese character into a plurality of substructures, wherein at least one of the substructures is a Chinese character.
In one embodiment, said determining a matching sub-structure matching with the outline of the image pattern of the object from among the sub-structures of the target chinese character, with the matching sub-structure as the matching structure, includes:
determining the respective corresponding outlines of all the substructures of the target Chinese character;
determining a target substructure of which the corresponding outline is matched with the outline of the object image pattern in the outlines corresponding to all the substructures of the target Chinese character;
and taking the target substructure as the matching structure.
In one embodiment, the displaying the semi-graphic target chinese characters comprises:
displaying the semi-graphic target Chinese character, and prohibiting displaying the target Chinese character;
in the process of displaying the semi-graphic target Chinese characters, shooting the human face of a person viewing the semi-graphic target Chinese characters to obtain a human face video;
analyzing the face video to obtain emotion change information of the person;
and when the emotion change information of the person indicates that the person is changed from the first emotion state to the second emotion state, displaying the target Chinese character.
The technical scheme provided by the embodiment of the invention can intelligently and quickly generate the semi-graphic Chinese character aiming at the character learning of the infant, a user such as parents or teachers of the infant can input the target Chinese character which the infant wants to know, the system generates the semi-graphic Chinese character corresponding to the target Chinese character by means of big data analysis and the like, so that the infant can learn the Chinese character in the game process according to the semi-graphic Chinese character, the semi-graphic Chinese character can help the infant to more vividly understand the meaning of the Chinese character and the structure of the character, the semi-graphic Chinese character is generated without manual drawing of the user in the whole process, the speed is high, and the intelligence is realized, thereby providing an intelligent game chemical learning method for the user.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of a big data-based game learning method according to an embodiment of the present invention;
FIG. 2 is a diagram of generating a semi-pictographic Chinese character according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The embodiment of the invention provides a large data-based game learning method, which comprises the following steps of S1-S6:
and step S1, receiving the target Chinese characters input by the user (such as parents or teachers of infants).
And step S2, mining the relevant information of the target Chinese character from the big data.
The related information comprises pinyin, semantics and meanings of the target Chinese characters, poetry article information containing the target characters and the like.
And step S3, extracting key information in the related information.
The key information refers to information that can indicate the semantics and meaning of the target Chinese character in the target information, for example, when the target Chinese character is "line," the key information of "line" may be information that can indicate the meaning of line, such as a line formed by articles, a line formed by people, and the like.
And step S4, mining the image pattern of the object related to the key information from the big data.
And step S5, determining a matching structure matched with the outline of the object image pattern in the composition structure of the target Chinese character.
And step S6, replacing the matching structure in the target Chinese character with an object image pattern to form a semi-graphic target Chinese character of the target Chinese character.
And step S7, displaying the semi-graphic target Chinese characters.
For example, when the target chinese character is "tree", the key information of the "tree" is tree, and the image pattern of the tree can be searched from the big data, for example, in fig. 2, the pattern of the tree shown in the dashed box 101 can be found, and the reference numeral 100 is referred to as a display box. According to steps S4-S5, the pattern of the found tree is used to replace the side of the Chinese character in the tree, so as to form a new semi-graphic target Chinese character, as shown in FIG. 2.
The technical scheme provided by the embodiment of the invention can intelligently and quickly generate the semi-graphic Chinese character aiming at the character learning of the infant, a user such as parents or teachers of the infant can input the target Chinese character which the infant wants to know, the system generates the semi-graphic Chinese character corresponding to the target Chinese character by means of big data analysis and the like, so that the infant can learn the Chinese character in the game process according to the semi-graphic Chinese character, the semi-graphic Chinese character can help the infant to more vividly understand the meaning of the Chinese character and the structure of the character, the semi-graphic Chinese character is generated without manual drawing of the user in the whole process, the speed is high, and the intelligence is realized, thereby providing an intelligent game chemical learning method for the user.
In one embodiment, the step S5 of determining the matching structure matching the outline of the image pattern of the object in the composition structure of the target chinese character may be implemented as the step a 1-a:
a1, judging the character type of the target Chinese character; for example, whether the target Chinese character is a single-body character or a multi-body character is judged;
step a2, according to the splitting mode corresponding to the character type to which the target chinese character belongs, performing structural splitting on the target chinese character to obtain a substructure of the target chinese character, which can be specifically implemented as:
when the target Chinese character is a single-body character, the target Chinese character is decomposed into a plurality of strokes, and each stroke is a substructure; the single-body character is a Chinese character formed by taking strokes as direct units, such as: b, He, etc.
When the target Chinese character is a combined character, splitting the target Chinese character into a plurality of substructures, wherein at least one of the substructures is a Chinese character; the structure of the composite word may include, but is not limited to, the following structures: left and right structures (such as Ming and Yang); left, middle and right structures (e.g., play, swim); upper and lower structures (such as flower and treasure); upper, middle and lower structures (e.g., Ying, Orole); a full-surrounding structure (such as a country and a garden); semi-surrounding structures (such as alarm, simultaneous treatment, and medical treatment), etc. For example, when the target Chinese character is "Ming", it can be split into two sub-structures, one of which is "day" and the other of which is "month".
Step A3, determining a matching substructure matched with the outline of the object image pattern in the substructures of the target Chinese character, and taking a matching substructure as a matching structure, which can be embodied as steps a31-a 34:
step A31, determining the respective corresponding outlines of all the substructures of the target Chinese character;
step a32, determining a target substructure, in which a corresponding contour matches with the contour of the object image pattern, among the contours corresponding to all substructures of the target chinese character, which may be specifically implemented as:
if the outline corresponding to a certain substructure is included in the outline of the image pattern of the object, the certain substructure is the matched target substructure, for example, the situation is that the wood character side in fig. 2 belongs to; or, the outline of the object image pattern is matched with the outline corresponding to a certain substructure, and the certain substructure is the matched target substructure, for example, the outer surrounding structure of the character 'mouth' is matched with the surrounding wall outline of the courtyard;
and step A33, taking the target substructure as a matching structure.
In one embodiment, the step S6 "displaying the semi-graphic target chinese character" can be implemented as:
displaying the semi-graphic target Chinese characters, and prohibiting displaying the target Chinese characters;
in the process of displaying the semi-graphic target Chinese characters, shooting the human face of a person viewing the semi-graphic target Chinese characters to obtain a human face video;
analyzing the face video to obtain emotion change information of the person;
and when the emotion change information of the person indicates that the person is changed from the first emotion state to the second emotion state, displaying the target Chinese character.
According to the technical scheme, whether a person reflects the semi-graphic target Chinese characters can be analyzed according to the emotion change of the face, for example, when the person is an infant, if the infant changes from a calm emotion state to a happy emotion state, the fact that the infant has a reaction on the semi-graphic target Chinese characters can be basically confirmed, at the moment, the target Chinese characters are displayed, and the learning effect of the infant on the Chinese characters can be better improved.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (6)
1. A big data-based game learning method is characterized by comprising the following steps:
receiving a target Chinese character input by a user;
mining relevant information of the target Chinese character from big data;
extracting key information in the related information;
mining an article object image pattern related to the key information from big data;
determining a matching structure matched with the outline of the object image pattern in the composition structure of the target Chinese character;
replacing the matching structure in the target Chinese character with the object image pattern to form a semi-graphic target Chinese character of the target Chinese character;
and displaying the semi-graphic target Chinese characters.
2. The method of claim 1,
the determining of the matching structure matched with the outline of the object image pattern in the composition structure of the target Chinese character includes:
judging the character type to which the target Chinese character belongs;
according to a splitting mode corresponding to the character type to which the target Chinese character belongs, performing structural splitting on the target Chinese character to obtain a substructure of the target Chinese character;
and determining a matching substructure matched with the outline of the image pattern of the object in the substructures of the target Chinese character, and taking the matching substructure as the matching structure.
3. The method of claim 2,
the judging the character type to which the target Chinese character belongs comprises the following steps:
and judging whether the target Chinese character is a single-body character or a multi-body character.
4. The method of claim 3,
the structural splitting of the target Chinese character according to the splitting mode corresponding to the character type to which the target Chinese character belongs to obtain the substructure of the target Chinese character comprises the following steps:
when the target Chinese character is a single-body character, the target Chinese character is decomposed into a plurality of strokes according to the minimum unit stroke, and each stroke is a substructure;
when the target Chinese character is a combined character, splitting the target Chinese character into a plurality of substructures, wherein at least one of the substructures is a Chinese character.
5. The method of claim 4,
the determining a matching sub-structure matched with the outline of the object image pattern in the sub-structures of the target Chinese character, and using the matching sub-structure as the matching structure, includes:
determining the respective corresponding outlines of all the substructures of the target Chinese character;
determining a target substructure of which the corresponding outline is matched with the outline of the object image pattern in the outlines corresponding to all the substructures of the target Chinese character;
and taking the target substructure as the matching structure.
6. The method of claim 1,
the displaying the semi-graphic target Chinese characters comprises the following steps:
displaying the semi-graphic target Chinese character, and prohibiting displaying the target Chinese character;
in the process of displaying the semi-graphic target Chinese characters, shooting the human face of a person viewing the semi-graphic target Chinese characters to obtain a human face video;
analyzing the face video to obtain emotion change information of the person;
and when the emotion change information of the person indicates that the person is changed from the first emotion state to the second emotion state, displaying the target Chinese character.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102682022A (en) * | 2011-03-15 | 2012-09-19 | 高静敏 | Implementation method for Chinese character holographic movable character library and operation of Chinese character holographic movable character library |
| CN106056991A (en) * | 2016-07-19 | 2016-10-26 | 北京乐学企鹅教育科技有限公司 | Early child education system and method based on Chinese character recognition |
| CN107930150A (en) * | 2017-12-14 | 2018-04-20 | 大连高马艺术设计工程有限公司 | Learn the interactive toy of semasiography |
| CN109242932A (en) * | 2018-08-21 | 2019-01-18 | 李春宾 | A kind of word processing method and terminal |
| KR20200099271A (en) * | 2019-02-14 | 2020-08-24 | 엔에이치엔 주식회사 | Method that provides and creates mosaic image based on image tag-word |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102682022A (en) * | 2011-03-15 | 2012-09-19 | 高静敏 | Implementation method for Chinese character holographic movable character library and operation of Chinese character holographic movable character library |
| CN106056991A (en) * | 2016-07-19 | 2016-10-26 | 北京乐学企鹅教育科技有限公司 | Early child education system and method based on Chinese character recognition |
| CN107930150A (en) * | 2017-12-14 | 2018-04-20 | 大连高马艺术设计工程有限公司 | Learn the interactive toy of semasiography |
| CN109242932A (en) * | 2018-08-21 | 2019-01-18 | 李春宾 | A kind of word processing method and terminal |
| KR20200099271A (en) * | 2019-02-14 | 2020-08-24 | 엔에이치엔 주식회사 | Method that provides and creates mosaic image based on image tag-word |
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