CN107368567B - Animal language identification method and user terminal - Google Patents
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Abstract
The invention relates to an animal language identification method and a user terminal. The animal language identification method provided by the invention comprises the following steps: providing a database, wherein at least one animal language information is stored in the database, and the animal language information comprises animal type information, a plurality of animal behavior information corresponding to the animal type information, and a plurality of animal languages corresponding to the animal behavior information one by one; acquiring target behavior information of a target animal; receiving target animal species information of a target animal input by a user; and judging whether a target animal language matched with the target animal type information and the target behavior information exists in the database, if so, displaying the target animal language on a display interface of a user terminal. The invention can quickly and accurately know the language which the animal wants to express, so that the user can effectively interact with the animal, thereby solving the communication barrier between the user and the animal.
Description
Technical Field
The invention relates to the technical field of communication, in particular to an animal language identification method and a user terminal.
Background
In the current society, with the continuous improvement of living standard of people, more and more families for raising animals as pets are provided, and the animals are gradually integrated into the daily life of people. In China alone, the number of pets has broken through one hundred million, and basically, one pet exists in each three families on average. At this time, the pet's effect is no longer limited to the traditional work for human, but exists as a part of family life. However, as the number of pets increases, many problems such as a decrease in the psychological and health status of pets, an increase in the number of wandering pets, and a video of abusive animals appearing on the internet this year have come to emerge. The underlying cause of this is the language barrier between humans and animals. Currently, only zoologists who specialize in studying the behavior of animals can judge the language of animals according to their behavior, however, most users who feed pets are only ordinary people without the professional knowledge of zoologists, and thus cannot judge the language that an animal wants to express according to the behavior of animals. Since the communication with the animal is impossible, the language, psychological condition and health condition of the animal cannot be known, which leads to various problems.
With the continuous development of information technology, intelligent user terminal devices such as mobile phones, wearable devices, cameras, notebook computers and tablet computers are more and more commonly used in the life of people. The user terminal devices bring convenience to work and study of people and greatly enrich the entertainment life of people. Wherein, wearable equipment can real time monitoring human health condition, therefore receives more and more people's favor.
In order to enable the ordinary people to have deeper understanding of the animal, the animal wearable device is developed. Fig. 1 is a schematic structural diagram of an animal wearable device in the prior art. Existing animal wearable devices generally include a processor 11, a heart rate detector 12, a blood pressure detector 13, a respiration detector 14, and a wireless communicator 15. The heart rate detector 12 is used for detecting the heart rate condition of the animal, the blood pressure detector 13 is used for detecting the blood pressure condition of the animal, and the respiration detector 14 is used for detecting the respiration rate of the animal. The results detected by the heart rate detector 12, the blood pressure detector 13 and the respiration detector 14 are all sent to the processor 11. The processor 11 processes the detection results of the detectors and sends the detection results to user terminal equipment such as a mobile phone, a tablet computer and a notebook computer through the wireless communicator 15, so that a user can know the conditions of animals in time.
However, the existing animal wearable device has the following three defects: on the first hand, wearable animal equipment is expensive and high in investment cost; in a second aspect, wearing of the animal wearable device may cause discomfort to the animal; in a third aspect, the wearable animal equipment can only detect the health condition of the animal, but has no effect on the actual language expression of the animal, so that the real-time requirements of the animal cannot be known, the wearable animal equipment cannot effectively interact with the animal, and wrong judgment can be caused in severe cases, so that the animal outbreak can cause casualties.
Therefore, how to accurately and rapidly understand the language of the animal and realize the effective interaction between the human and the animal is a technical problem to be solved urgently at present.
Disclosure of Invention
The invention provides an animal language identification method and a user terminal, which are used for solving the problem that people cannot accurately and quickly identify animal languages in the prior art, so that effective interaction between people and animals is realized.
In order to solve the above problems, the present invention provides an animal language identification method, comprising the steps of: providing a database, wherein at least one animal language information is stored in the database, and the animal language information comprises animal type information, a plurality of animal behavior information corresponding to the animal type information, and a plurality of animal languages corresponding to the animal behavior information one by one; acquiring target behavior information of a target animal; receiving target animal species information of a target animal input by a user; and judging whether a target animal language matched with the target animal type information and the target behavior information exists in the database, if so, displaying the target animal language on a display interface of a user terminal.
Preferably, the animal behavior information includes animal motion information and/or animal voice information.
Preferably, the animal behavior information includes animal action information; the specific steps of obtaining the target behavior information of the target animal comprise: acquiring an image of a target animal; receiving body part information of a target animal in the image determined by a user, wherein the body part information comprises relative position information of a head, a tail and four limbs; and determining target action information of the target animal according to the body part information.
Preferably, the specific step of receiving the body part information of the target animal in the image determined by the user comprises: displaying a plurality of positioning points on the image, wherein the plurality of positioning points comprise a head positioning point, a tail positioning point, a forelimb positioning point and a hindlimb positioning point, and a user can move the positioning points in the image; receiving position information of a plurality of positioning points in an image, which is determined by a user; and acquiring body part information of the target animal in the image according to the position information of the positioning points in the image.
Preferably, the animal language identification method further comprises the steps of: and judging whether a target animal language matched with the target animal type information and the target behavior information exists in the database, and if not, uploading the target animal type information and the target behavior information to a network server.
The present invention also provides a user terminal, comprising: the storage module comprises a database, wherein at least one animal language information is stored in the database, and the animal language information comprises animal type information, a plurality of animal behavior information corresponding to the animal type information, and a plurality of animal languages corresponding to the animal behavior information one by one; the acquisition module is used for acquiring target behavior information of the target animal; the input module is used for inputting the target animal type information of the target animal by a user; and the control module is connected with the storage module, the acquisition module and the input module and is used for judging whether a target animal language matched with the target animal type information and the target behavior information exists in the database or not, and if yes, displaying the target animal language on a display interface of a user terminal.
Preferably, the animal behavior information includes animal motion information and/or animal voice information.
Preferably, the animal behavior information includes animal action information; the acquisition module comprises a shooting unit, a first processing unit and a second processing unit; the shooting unit is used for acquiring an image of a target animal; the first processing unit is connected with the shooting unit and used for receiving body part information of the target animal in the image determined by a user, wherein the body part information comprises relative position information of a head, a tail and four limbs; the second processing unit is connected with the first processing unit and used for determining target action information of the target animal according to the body part information.
Preferably, the first processing unit comprises a positioning element, a receiving element and an analyzing element; the positioning element is used for displaying a plurality of positioning points on the image, the plurality of positioning points comprise a head positioning point, a tail positioning point, a forelimb positioning point and a hindlimb positioning point, and a user can move the positioning points in the image; the receiving element is connected with the positioning element and used for receiving position information of a plurality of positioning points determined by a user in an image; the analysis element is connected with the receiving element and used for acquiring body part information of the target animal in the image according to the position information of the positioning points in the image.
Preferably, the control module is further configured to determine whether a target animal language matched with the target animal type information and the target behavior information exists in the database, and if not, upload the target animal type information and the target behavior information to a network server.
According to the animal language identification method and the user terminal provided by the invention, the database is established, the animal language corresponding to the animal behavior information is stored in the database, when the animal language is identified, the language which the animal wants to express can be quickly and accurately obtained only by acquiring the animal behavior information and automatically selecting the animal language matched with the animal behavior information from the database, so that the user can effectively interact with the animal, and the communication obstacle between the user and the animal is solved.
Drawings
FIG. 1 is a schematic diagram of a prior art animal wearable device;
FIG. 2 is a flow chart of a method of animal language identification according to a first embodiment of the present invention;
fig. 3 is a schematic structural diagram of a user terminal according to a second embodiment of the present invention;
fig. 4 is a schematic structural diagram of an acquisition module in a user terminal according to a second embodiment of the present invention;
fig. 5 is a schematic structural diagram of a user terminal in embodiment 1 of the present invention.
Detailed Description
The following describes in detail specific embodiments of the animal language identification method and the user terminal according to the present invention with reference to the accompanying drawings.
First embodiment
The present embodiment provides a method for recognizing animal language, and fig. 2 is a flowchart of the method for recognizing animal language according to the first embodiment of the present invention. As shown in fig. 2, the animal language identification method provided in the present embodiment includes the following steps:
step S21, providing a database, where at least one animal language information is stored in the database, and the animal language information includes animal type information, a plurality of animal behavior information corresponding to the animal type information, and a plurality of animal languages corresponding to the animal behavior information one to one. The at least one animal language information can comprise one or more animal language information, when only one animal language information is included, the animal behaviors can be quickly matched with the animal language, and the efficiency of identifying the animal language is improved; when the language information of various animals is included, the user can identify the languages of different types of animals, and the range of animal language identification is expanded. The animal species information refers to the species of the animal, such as a cat or a dog. The reason why the animal type information is set is that different types of animals may express different languages for the same behavior. In order to expand the application range of the animal language identification method provided in the present embodiment, it is preferable that the animal behavior information includes animal motion information and/or animal voice information. In order to enhance the storage space of the database and realize the storage of more animal language information, the database in the present embodiment may be stored in a web server; in addition, in order to improve the efficiency of animal language identification, the user can quickly identify animal language even without network, and the database in this embodiment can be stored locally in a user terminal. The user terminal in this embodiment may be, but is not limited to, a mobile phone, a notebook computer, a tablet computer, and the like.
And step S22, acquiring target behavior information of the target animal. The target animal is an animal whose language is recognized by the user. The specific way for the user to obtain the target behavior information of the animal may be: shooting a picture of an animal through a camera on a user terminal so as to acquire action information of the target animal; or the sound information of the target animal can be acquired through a microphone on the user terminal; the action information and the sound information of the target animal can be acquired simultaneously by utilizing a camera and a microphone on the user terminal.
In step S23, target animal type information of the target animal input by the user is received. In order to match the animal type with the animal behavior and the animal language, the user is required to input the target animal type information of the target animal before matching the target behavior information of the target animal. The specific way for the user to input the target animal type information of the target animal can be that an animal type information input box pops up in a display interface of the user terminal, and the user manually inputs the target animal type information; the animal type information selection frame can be popped up in a display interface of the user terminal, the animal type information stored in the database is listed in the animal type information selection frame, and the user only needs to select the target animal type information. The specific way for the user to input the target animal species information of the target animal can be selected by those skilled in the art according to actual needs, and the specific implementation is not limited thereto. In the present embodiment, the sequence of step S22 and step S23 can be interchanged without affecting the result of animal language identification.
And step S24, judging whether the database has a target animal language matched with the target animal type information and the target behavior information, if so, performing step S25, namely displaying the target animal language on a display interface of a user terminal. In order to enhance the applicability of the animal language identification method provided in the present embodiment and improve the accuracy of animal language identification, preferably, the specific step of determining whether there is a target animal language matching the target animal type information and the target behavior information in the database includes: judging whether target animal species information exists in the database, if so, judging whether target animal behavior information with the similarity to the target behavior information not lower than a preset value exists in a plurality of animal behavior information corresponding to the target animal species information; and if the target animal behavior information with the similarity not lower than a preset value with the target behavior information exists in the plurality of animal behavior information corresponding to the target animal type information, determining that the database has the target animal language matched with the target animal type information and the target behavior information. The preset value in this embodiment may be set by a person skilled in the art according to actual needs, for example, 90% or 85%, and this embodiment does not limit this. In this embodiment, the manner of displaying the target animal language on the display interface of the user terminal may be to pop up a language prompt box on the display interface, and display the target animal language in the form of characters in the language prompt box.
In order to improve the accuracy of the animal language identification, preferably, the animal behavior information includes animal motion information; the specific steps of obtaining the target behavior information of the target animal comprise: acquiring an image of a target animal; receiving body part information of a target animal in an image determined by a user, wherein the body part information comprises relative position information of a head, a tail and four limbs; and determining target action information of the target animal according to the body part information. In order to simplify the user operation, it is more preferable that the specific step of receiving the body part information of the target animal in the user-determined image includes: displaying a plurality of positioning points on the image, wherein the plurality of positioning points comprise a head positioning point, a tail positioning point, a forelimb positioning point and a hindlimb positioning point, and a user can move the positioning points in the image; receiving position information of a plurality of positioning points determined by a user in an image; and acquiring the body part information of the target animal in the image according to the position information of the positioning points in the image. After the image of the target animal is obtained, the user determines the position information of a plurality of body parts of the target animal in the image relative to the image by moving the positioning point, and then the user terminal processes the positions of the body parts relative to the image to obtain the relative position relation between the body parts, thereby determining the target action information of the target animal. Therefore, the movement of the target animal can be known more accurately, and the foundation is laid for the follow-up movement matching.
In order to further enhance the use pleasure of the user, preferably, the animal language identification method further comprises the steps of: and judging whether the database has a target animal language matched with the target animal type information and the target behavior information, if not, performing step S26, namely uploading the target animal type information and the target behavior information to the network server. By uploading the target animal species information and the target behavior information to the network server, the user can discuss and analyze the language which the target animal wants to express together with an zoologist or other animal enthusiasts so as to deepen understanding of animal behaviors. In order to respect privacy of the user, preferably, the specific step of uploading the target animal species information and the target behavior information to the network server may include: popping up a matching result prompt box on a display interface of a user terminal, prompting a user that a target animal language matched with the target animal type information and the target behavior information is not found in the matching result prompt box, and inquiring whether the user issues the target animal type information and the target behavior information to a forum to discuss and analyze the target animal type information and the target behavior information with other users; and if the user confirms that the target animal species information and the target behavior information are published to the forum, uploading the target animal species information and the target behavior information to the network server.
In the animal language identification method provided by the specific embodiment, a database is established, and an animal language corresponding to animal behavior information is stored in the database, when the animal language is to be identified, only the behavior information of an animal needs to be acquired, and then the animal language matched with the animal behavior information is automatically selected from the database, so that the language which the animal wants to express can be quickly and accurately known, a user can effectively interact with the animal, and communication obstacles between the user and the animal are solved.
Second embodiment
The present embodiment provides a user terminal, and fig. 3 is a schematic structural diagram of a user terminal according to a second embodiment of the present invention. As shown in fig. 3, the user terminal of the present embodiment includes a storage module 31, an acquisition module 32, an input module 33, and a control module 34.
The storage module 31 includes a database 311, where at least one animal language information is stored in the database 311, and the animal language information includes animal type information, a plurality of animal behavior information corresponding to the animal type information, and a plurality of animal languages corresponding to the animal behavior information one to one. The at least one animal language information can comprise one or more animal language information, when only one animal language information is included, the animal behaviors can be quickly matched with the animal language, and the efficiency of identifying the animal language is improved; when the language information of various animals is included, the user can identify the languages of different types of animals, and the range of animal language identification is expanded. The animal species information refers to the species of the animal, such as a cat or a dog. The reason why the animal type information is set is that different types of animals may express different languages for the same behavior. In order to expand the application range of the animal language identification method provided in the present embodiment, it is preferable that the animal behavior information includes animal motion information and/or animal voice information. In order to enhance the storage space of the database and to implement storage of more animal language information, the storage module 31 in this embodiment may be located in a network server; in addition, in order to improve the efficiency of animal language identification, even in the absence of a network, the user can quickly identify the animal language, and the storage module 31 in this embodiment may be located locally in the user terminal. The user terminal in this embodiment may be, but is not limited to, a mobile phone, a notebook computer, a tablet computer, and the like.
And the obtaining module 32 is used for obtaining the target behavior information of the target animal. The target animal is an animal whose language is recognized by the user. The specific way for the obtaining module 32 to obtain the target behavior information of the animal may be: shooting a picture of an animal through a camera on a user terminal so as to acquire action information of the target animal; or the sound information of the target animal can be acquired through a microphone on the user terminal; the action information and the sound information of the target animal can be acquired simultaneously by utilizing a camera and a microphone on the user terminal.
And an input module 33, configured to input target animal type information of the target animal by a user. In order to match the animal type with the animal behavior and the animal language, the user is required to input the target animal type information of the target animal before matching the target behavior information of the target animal. The specific way for the user to input the target animal type information of the target animal through the input module 33 may be to pop up an animal type information input box in a display interface of the user terminal, and the user manually inputs the target animal type information; the animal type information selection frame can be popped up in a display interface of the user terminal, the animal type information stored in the database is listed in the animal type information selection frame, and the user only needs to select the target animal type information. The specific way in which the user inputs the target animal type information of the target animal through the input module 33 can be selected by those skilled in the art according to actual needs, and the specific embodiment is not limited thereto.
And the control module 34 is connected with the storage module 31, the acquisition module 32 and the input module 33, and is used for judging whether a target animal language matched with the target animal type information and the target behavior information exists in the database, and if so, displaying the target animal language on a display interface of the user terminal. In order to enhance the applicability of the user terminal provided in this embodiment and improve the accuracy of animal language identification, it is preferable that the specific way for the control module 34 to determine whether there is a target animal language matching the target animal type information and the target behavior information in the database is as follows: judging whether target animal species information exists in the database, if so, judging whether target animal behavior information with the similarity to the target behavior information not lower than a preset value exists in a plurality of animal behavior information corresponding to the target animal species information; and if the target animal behavior information with the similarity not lower than a preset value with the target behavior information exists in the plurality of animal behavior information corresponding to the target animal type information, determining that the database has the target animal language matched with the target animal type information and the target behavior information. The preset value in this embodiment may be set by a person skilled in the art according to actual needs, for example, 90% or 85%, and this embodiment does not limit this. In this embodiment, the manner of displaying the target animal language on the display interface of the user terminal may be to pop up a language prompt box on the display interface, and display the target animal language in the form of characters in the language prompt box.
Fig. 4 is a schematic structural diagram of an acquisition module in a user terminal according to a second embodiment of the present invention. In order to improve the accuracy of the animal language identification, preferably, the animal behavior information includes animal motion information; the acquisition module 32 includes a photographing unit 321, a first processing unit 322, and a second processing unit 323; a photographing unit 321 for acquiring an image of a target animal; the first processing unit 322 is connected to the shooting unit 321, and is configured to receive body part information of the target animal in the image determined by the user, where the body part information includes relative position information of a head, a tail, and four limbs; the second processing unit 323 is connected to the first processing unit 322, and is configured to determine target motion information of the target animal according to the body part information. To simplify the user operation, it is further preferred that the first processing unit 322 comprises a positioning element 3221, a receiving element 3222 and an analyzing element 3223; a positioning element 3221, configured to display a plurality of positioning points on the image, where the plurality of positioning points include a head positioning point, a tail positioning point, a forelimb positioning point, and a hindlimb positioning point, and a user is able to move the positioning points in the image; a receiving element 3222 connected to the positioning element 3221 and configured to receive position information of a plurality of positioning points determined by a user in the image; an analyzing element 3223 is connected to the receiving element 3222, and is configured to obtain the body part information of the target animal in the image according to the position information of the plurality of positioning points in the image. That is, after acquiring the image of the target animal, the user determines the position information of the plurality of body parts of the target animal in the image relative to the image by moving the positioning point, and then the analyzing element 3223 obtains the relative position relationship between the body parts by processing the positions of the plurality of body parts relative to the image, thereby determining the target motion information of the target animal. Therefore, the movement of the target animal can be known more accurately, and the foundation is laid for the follow-up movement matching.
In order to further enhance the use enjoyment of the user, it is preferable that the control module 34 is further configured to determine whether a target animal language matching the target animal type information and the target behavior information exists in the database, and if not, upload the target animal type information and the target behavior information to the network server. By uploading the target animal species information and the target behavior information to the network server, the user can discuss and analyze the language which the target animal wants to express together with an zoologist or other animal enthusiasts so as to deepen understanding of animal behaviors. In order to respect privacy of the user, preferably, the control module 34 is further configured to, before uploading the target animal species information and the target behavior information to the network server: popping up a matching result prompt box on a display interface of a user terminal, prompting a user that a target animal language matched with the target animal type information and the target behavior information is not found in the matching result prompt box, and inquiring whether the user issues the target animal type information and the target behavior information to a forum to discuss and analyze the target animal type information and the target behavior information with other users; and if the user confirms that the target animal species information and the target behavior information are published to the forum, uploading the target animal species information and the target behavior information to the network server.
The user terminal provided by the embodiment of the invention can quickly and accurately acquire the language which the animal wants to express by constructing the database and storing the animal language corresponding to the animal behavior information in the database, and when the animal language is to be identified, only the behavior information of the animal needs to be acquired, and then the animal language matched with the animal behavior information is automatically selected from the database, so that the user can effectively interact with the animal, and the communication obstacle between the user and the animal is solved.
Example 1
The embodiment provides an animal language identification method, and fig. 5 is a schematic structural diagram of a user terminal in embodiment 1 of the present invention. The user terminal in this embodiment is a mobile phone 51, the mobile phone 51 has a camera 52, and the target animal in this embodiment is a pet dog. The steps of recognizing the animal language by using the mobile phone 51 in the present embodiment include:
the first step is as follows: providing a database, wherein a plurality of animal language information are stored in the database, and each animal language information comprises animal type information, a plurality of animal behavior information corresponding to the animal type information, and a plurality of animal languages corresponding to the animal behavior information one by one.
The second step is that: an image 54 of the pet dog is obtained through a camera 52 on the mobile phone 51 and displayed in a display interface of the mobile phone 51.
The third step: a plurality of positioning points 55 are displayed on the image 54, the plurality of positioning points 55 include a head positioning point, a tail positioning point, a first forelimb positioning point, a second forelimb positioning point, a chest positioning point, a first hindlimb positioning point, a second hindlimb positioning point, and a waist positioning point, and a user can move each positioning point 55 in the image 54.
The fourth step: the user moves each of the anchor points 55 to a corresponding location on the body of the pet dog to obtain a specific location of the head, tail, first forelimb, second forelimb, chest, first hind limb, second hind limb, and waist of the pet dog in the image 54.
The fifth step: according to the position information of each body part of the pet dog in the image 54, the relative position information of each body part of the pet dog is obtained through analysis, and then the action information of the pet dog is determined.
And a sixth step: an animal type information selection box pops up on a display interface of the mobile phone 51, a plurality of animal options such as cats, dogs, rabbits and the like are listed in the animal type information selection box, and a user selects a dog in the animal type information selection box.
The seventh step: and judging whether a target animal language matched with the action information of the pet dog exists in the database, if so, popping up an animal language prompt box 53 in a display interface of the mobile phone 51, and displaying the target animal language in the animal language prompt box 53 in a character form.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (6)
1. An animal language identification method is characterized by comprising the following steps:
providing a database, wherein a plurality of animal language information are stored in the database, and the animal language information comprises animal type information, a plurality of animal behavior information corresponding to the animal type information, and a plurality of animal languages corresponding to the animal behavior information one by one; the animal behavior information comprises animal behavior information;
acquiring an image of a target animal;
receiving the determined body part information of the target animal in the image, wherein the body part information comprises relative position information of a head, a tail and four limbs, and the specific step of receiving the determined body part information of the target animal in the image comprises the following steps: displaying a plurality of positioning points on the image, wherein the positioning points comprise a head positioning point, a tail positioning point, a forelimb positioning point and a hindlimb positioning point, a user can move the positioning points in the image, the position information of the positioning points in the image determined by the user is received, and the body part information of the target animal in the image is obtained according to the position information of the positioning points in the image;
determining target action information of the target animal according to the body part information;
receiving input target animal species information of a target animal, and realizing matching of animal species with animal behaviors and animal languages; and judging whether a target animal language matched with the target animal type information and the target behavior information exists in the database, if so, displaying the target animal language on a display interface of a user terminal.
2. The animal language identification method of claim 1, wherein the animal behavior information comprises animal action information and/or animal voice information.
3. The animal language identification method according to claim 1, characterized in that the animal language identification method further comprises the steps of:
and judging whether a target animal language matched with the target animal type information and the target behavior information exists in the database, and if not, uploading the target animal type information and the target behavior information to a network server.
4. A user terminal, comprising:
the storage module comprises a database, wherein a plurality of animal language information are stored in the database, and the animal language information comprises animal type information, a plurality of animal behavior information corresponding to the animal type information, and a plurality of animal languages corresponding to the animal behavior information one by one; the animal behavior information comprises animal behavior information;
the acquisition module comprises a shooting unit, a first processing unit and a second processing unit; the shooting unit is used for acquiring an image of a target animal; the first processing unit is connected with the shooting unit and used for receiving the determined body part information of the target animal in the image, wherein the body part information comprises relative position information of the head, the tail and the four limbs; the second processing unit is connected with the first processing unit and used for determining target action information of the target animal according to the body part information, the first processing unit comprises a positioning element, a receiving element and an analyzing element, the positioning element is used for displaying a plurality of positioning points on the image, the positioning points comprise a head positioning point, a tail positioning point, a forelimb positioning point and a hindlimb positioning point, a user can move the positioning points in the image, the receiving element is connected with the positioning element and used for receiving position information of the positioning points determined by the user in the image, and the analyzing element is connected with the receiving element and used for acquiring the body part information of the target animal in the image according to the position information of the positioning points in the image;
the input module is used for inputting the target animal species information of the target animal and realizing the matching of the animal species with the animal behaviors and the animal language;
and the control module is connected with the storage module, the acquisition module and the input module and is used for judging whether a target animal language matched with the target animal type information and the target behavior information exists in the database or not, and if yes, displaying the target animal language on a display interface of a user terminal.
5. The user terminal according to claim 4, wherein the animal behavior information comprises animal action information and/or animal voice information.
6. The user terminal according to claim 4, wherein the control module is further configured to determine whether a target animal language matched with the target animal type information and the target behavior information exists in the database, and if not, upload the target animal type information and the target behavior information to a network server.
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| CN110303507B (en) * | 2019-06-18 | 2021-11-23 | 汉王科技股份有限公司 | Method, control terminal and system for interaction between user and animal robot |
| CN111191053A (en) * | 2020-02-28 | 2020-05-22 | 朱慧宁 | System for animal communication training service and implementation method |
| CN112100224A (en) * | 2020-09-17 | 2020-12-18 | 崔午洋 | Method and system for converting biological behavior into human language |
| CN112507157A (en) * | 2020-11-28 | 2021-03-16 | 爱荔枝科技(北京)有限公司 | Translation method between animals |
| CN113380259A (en) * | 2021-05-31 | 2021-09-10 | 广州朗国电子科技有限公司 | Animal voice recognition method and device and storage medium |
| CN116259072B (en) * | 2023-01-10 | 2024-05-10 | 华瑞研能科技(深圳)有限公司 | Animal identification method, device, equipment and storage medium |
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