1. A user interaction method, comprising:

displaying a rights page containing an indication and a corresponding right to be issued;

collecting voice data and/or image data entered by a user in response to the indication;

processing the acquired data through emotion calculation to analyze the emotion of the user during the recording;

and if the emotion of the user during the recording is judged to be the preset positive emotion according to the analysis result, the right and the interest to be issued are issued to the user.

2. The method of claim 1, prior to said issuing said pending issued rights to said user, said method further comprising:

judging whether the voice data is input by the user or not;

if so, converting the voice data into text data;

determining that content in the text data is consistent with the indication.

3. The method of claim 2, the user entering at least image data;

after determining whether the user has entered the voice data, the method further includes:

if the voice data is judged not to be input by the user, identifying the facial expression and mouth shape change of the user according to the image data;

according to the facial expression and the mouth shape change, identifying text data to be expressed when the user inputs the image data;

determining that content in the text data is consistent with the indication.

4. The method of claim 1, said processing said collected data by emotion calculation to analyze emotion of said user when said recording is performed, said method further comprising:

if the results of the analysis reflect the user fighting the indication, the indication is adjusted accordingly in an attempt to diminish the user's fighting mood.

5. The method of claim 1, after analyzing the user's emotion while logging in, the method further comprising:

if the analysis result meets the preset condition corresponding to the indication, sending the video data generated according to the acquired data to a corresponding platform so as to determine a business action according to an interactive effect generated by the generated video data through the corresponding platform;

the generation process of the video data comprises the following steps:

acquiring voice data and image data which are respectively input by a plurality of users under the instruction;

and extracting portrait pictures corresponding to the users from the image data, combining the portrait pictures of the users in the same picture, and playing the voice data input by the users in the playing process of the frame image to generate video data.

6. The method according to claim 1, wherein the displaying of the equity page including the indication and the corresponding equity to be issued comprises:

receiving a commodity payment request sent by a user;

determining that a preset appointed commodity exists in the commodities to be paid corresponding to the commodity payment request;

and displaying a rights and interests page containing the indication corresponding to the specified commodity and the rights and interests to be issued to the user.

7. A user interaction device, comprising:

the right and interest page display module is used for displaying a right and interest page containing the indication and the corresponding right and interest to be issued;

the acquisition module acquires voice data and/or image data input by a user in response to the indication;

the emotion analysis module is used for processing the acquired data through emotion calculation so as to analyze the emotion of the user during the recording;

and the right and interest processing module is used for issuing the right and interest to be issued to the user if the emotion of the user during the recording is judged to be the preset positive emotion according to the analysis result.

8. The apparatus of claim 7, further comprising a determination module, a first text determination module;

the judging module is used for judging whether the voice data is input by the user;

the first text determining module is used for converting the voice data into text data if the judgment result of the judging module is positive;

determining that content in the text data is consistent with the indication.

9. The apparatus of claim 8, the user entered at least image data;

the apparatus also includes a second text determination module;

the second text determining module is used for identifying the facial expression and the mouth shape change of the user according to the image data if the judging module judges that the voice data is not input by the user;

according to the facial expression and the mouth shape change, identifying text data to be expressed when the user inputs the image data;

determining that content in the text data is consistent with the indication.

10. The apparatus of claim 7, further comprising an indication adjustment module;

and the indication adjusting module is used for correspondingly adjusting the indication to try to weaken the confrontation emotion of the user if the analyzed result reflects the confrontation of the user.

11. The apparatus of claim 7, further comprising a data transmission module;

the data sending module is used for sending video data generated according to the acquired data to a corresponding platform if the analysis result meets a preset condition corresponding to the indication so as to determine a business action according to an interactive effect generated by the generated video data through the corresponding platform;

the generation process of the video data comprises the following steps:

acquiring voice data and image data which are respectively input by a plurality of users under the instruction;

and extracting portrait pictures corresponding to the users from the image data, combining the portrait pictures of the users in the same picture, and playing the voice data input by the users in the playing process of the frame image to generate video data.

12. The apparatus of claim 7, the equity page presentation module to receive a merchandise payment request from a user;

determining that a preset appointed commodity exists in the commodities to be paid corresponding to the commodity payment request;

and displaying a rights and interests page containing the indication corresponding to the specified commodity and the rights and interests to be issued to the user.

13. A user interaction device, comprising:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to:

displaying a rights page containing an indication and a corresponding right to be issued;

collecting voice data and/or image data entered by a user in response to the indication;

processing the acquired data through emotion calculation to analyze the emotion of the user during the recording;

and if the emotion of the user during the recording is judged to be the preset positive emotion according to the analysis result, the right and the interest to be issued are issued to the user.

Background

With the development of science and technology and economy, more and more businesses are carried out on line, and great convenience is brought to the life of users. Enterprises providing online services grasp a large amount of computing resources and service resources, and optimize services using the computing resources and the service resources.

User interaction is an important direction of optimization, and is beneficial to the optimal configuration of enterprise resources in a user group through a more reasonable user interaction means, while some current user interaction means are monotonous and boring, and resource waste is easily caused for enterprises.

Based on this, there is a need for a user interaction scheme that is more conducive to optimized configuration of enterprise resources.

Disclosure of Invention

One or more embodiments of the present specification provide a user interaction method, apparatus, device, and storage medium, so as to solve the following technical problems: there is a need for a user interaction scheme that facilitates more optimal configuration of enterprise resources.

To solve the above technical problem, one or more embodiments of the present specification are implemented as follows:

one or more embodiments of the present specification provide a user interaction method, including:

displaying a rights page containing an indication and a corresponding right to be issued;

collecting voice data and/or image data entered by a user in response to the indication;

processing the acquired data through emotion calculation to analyze the emotion of the user during the recording;

and if the emotion of the user during the recording is judged to be the preset positive emotion according to the analysis result, the right and the interest to be issued are issued to the user.

One or more embodiments of the present specification provide a user interaction apparatus, including:

the right and interest page display module is used for displaying a right and interest page containing the indication and the corresponding right and interest to be issued;

the acquisition module acquires voice data and/or image data input by a user in response to the indication;

the emotion analysis module is used for processing the acquired data through emotion calculation so as to analyze the emotion of the user during the recording;

and the right and interest processing module is used for issuing the right and interest to be issued to the user if the emotion of the user during the recording is judged to be the preset positive emotion according to the analysis result.

One or more embodiments of the present specification provide a user interaction device, including:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to:

displaying a rights page containing an indication and a corresponding right to be issued;

collecting voice data and/or image data entered by a user in response to the indication;

processing the acquired data through emotion calculation to analyze the emotion of the user during the recording;

and if the emotion of the user during the recording is judged to be the preset positive emotion according to the analysis result, the right and the interest to be issued are issued to the user.

One or more embodiments of the present specification provide a non-transitory computer storage medium storing computer-executable instructions configured to:

displaying a rights page containing an indication and a corresponding right to be issued;

collecting voice data and/or image data entered by a user in response to the indication;

processing the acquired data through emotion calculation to analyze the emotion of the user during the recording;

and if the emotion of the user during the recording is judged to be the preset positive emotion according to the analysis result, the right and the interest to be issued are issued to the user.

At least one technical scheme adopted by one or more embodiments of the specification can achieve the following beneficial effects: the rights and interests page is used for sending an indication to the user, analyzing the emotion of the user when the user inputs data, and if the emotion meets the preset condition in the indication, the rights and interests are sent to the user, so that the interactive effect is improved, the user can be effectively promoted to complete the service, the resource waste is reduced, and the resource allocation is optimized. The emotion of the user is comprehensively considered during user service, the users which do not meet the emotion requirement can be filtered, the high-quality users with identity to enterprises can be effectively identified, and the effectiveness of resource utilization is improved.

Drawings

In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort.

FIG. 1 is a flow diagram illustrating a method for user interaction according to one or more embodiments of the present disclosure;

fig. 2 is a flowchart illustrating a conventional user right issue method according to one or more embodiments of the present disclosure;

FIG. 3 is a flowchart illustrating a method for issuing user rights and interests during client emotion recognition according to one or more embodiments of the present disclosure;

fig. 4 is a flowchart illustrating a method for issuing user rights and interests in cloud emotion recognition according to one or more embodiments of the present disclosure;

FIG. 5 is a schematic diagram of a user interaction device according to one or more embodiments of the present disclosure;

fig. 6 is a schematic structural diagram of a user interaction device according to one or more embodiments of the present specification.

Detailed Description

The embodiment of the specification provides a user interaction method, a user interaction device, user interaction equipment and a storage medium.

In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any inventive step based on the embodiments of the present disclosure, shall fall within the scope of protection of the present application.

In one or more embodiments of the present specification, a user interaction scheme is devised. Firstly, an instruction with emotion requirements is sent to a user, the user inputs voice data and/or image data on a client according to the instruction, the client or the cloud carries out emotion recognition on the collected data, and if relevant preset conditions in the instruction are met, rights and interests are issued to the user so as to promote business activities.

The service side takes the user as the center, sets and carries out the business activities which the user may be willing to accept, so that the own computing resources and service resources can be used on the matched user as much as possible, rather than being wasted. For example, issuing the user with related rights (e.g., coupons, red packs, premium members, etc.), reducing the penalties that the user would otherwise be subjected to, recommending items to the user, qualifying the user for related activities (e.g., qualifying for online anchor interactions, qualifying for offline activities), meeting other needs of the user (e.g., self-exposure needs, related service needs), etc.

The following is a detailed description based on such a concept.

Fig. 1 is a flowchart illustrating a user interaction method according to one or more embodiments of the present disclosure. The method can be applied to different business fields, such as the field of internet financial business, the field of electric business, the field of instant messaging business, the field of game business, the field of official business and the like. The process can be executed by computing equipment in the corresponding field (for example, a wind control server or an intelligent mobile terminal corresponding to the payment service, and the like), and some input parameters or intermediate results in the process allow manual intervention and adjustment to help improve the accuracy.

The process in fig. 1 may include the following steps:

s102: a rights page is shown that includes an indication and a corresponding rights to be issued.

S104: voice data and/or image data entered by a user in response to the indication is collected.

In one or more embodiments of the present description, a user enters voice data and/or image data through a client installed on a terminal, which may include a smartphone, a vending machine, a self-checkout machine, and the like.

The client sends an instruction to the user in advance, and the user can input data according to the instruction after receiving the instruction. The indication may be provided in various ways, for example, by voice prompt, visual prompt, or a combination thereof. In order to guarantee the experience of the user, while sending out the prompt, the user is shown the subsequent business activity scheme performed by the user after the user completes the instruction, or the user can send out the instruction to the user after selecting the corresponding business activity scheme, so that the user can actively select whether to execute the instruction according to the business activity scheme, and the enthusiasm of the user is improved.

Even if the user is instructed, the data actually entered by the user does not always satisfy the instruction request, and the instruction requests at least the emotion at the time of entry by the user, and there may be a demand for more aspects such as content and action.

S106: and processing the acquired data through emotion calculation so as to analyze the emotion of the user during recording.

And selecting and assembling a corresponding model algorithm to identify the emotion input by the user according to the acquired data and the difference of scenes during data acquisition.

For example, emotion Recognition may be performed on image data by using a correlation algorithm such as Optical Character Recognition (OCR), object detection, frame image classification, body detection, and expression Recognition or a deep learning model, and emotion Recognition may be performed on voice data by using an Automatic Speech Recognition technology (ASR), voice emotion analysis, and a correlation algorithm such as Natural Language Processing (NLP) or a deep learning model. For audio video data including both voice data and image data, emotion recognition can be performed using key frame extraction, video classification, motion recognition, event detection, and the like, in addition to the above algorithm.

S108: and if the emotion of the user during the recording is judged to be the preset positive emotion according to the analysis result, the right and the interest to be issued are issued to the user.

Fig. 2 is a flowchart illustrating a conventional user right issue method according to one or more embodiments of the present disclosure. In a traditional mode, after a merchant issues rights and interests, the merchant firstly releases the rights and interests according to a formulated rights and interests releasing strategy, and releases the rights and interests to platforms such as various E-commerce platforms, rights and interests releasing platforms and payment channel platforms, wherein the released rights and interests can comprise cash red packages, voucher, commodity priority experience rights, commodity discount exemption and the like.

And after the user opens the rights page in the client, displaying the indication and the rights to be issued in the rights page. The instruction is usually to let the user yell a corresponding call or make a corresponding action with a preset emotion by entering a video, an audio, and the like (the video is here taken as an example for explanation), for example, to let the user yell "love article a" with enthusiasm. The user can enter video as indicated by turning on the system camera. Video data (including image data and voice data) input by a user are acquired through the input video, manual review can be conducted at the moment, and if the manual review result meets the requirement, rights and interests are issued to the user, but the manual review mode is low in efficiency.

Based on this, an improved user interest issuance scheme is provided in this specification. Fig. 3 and 4 are diagrams illustrating user rights and interests issue schemes under two different processing modes (emotion recognition at the client or cloud), respectively, in one or more embodiments of the present application. After video data input by a user is collected, the video data can be uploaded to a cloud end as shown in fig. 3, the cloud end analyzes the video data through an algorithm model, whether emotion of the user in inputting the video is enthusiasm or not is analyzed, or as shown in fig. 4, an artificial intelligence reasoning service is issued to a client end in advance in a software development kit form, the client end directly analyzes the video data locally by calling hardware resources (such as a CPU and a GPU) and analyzes whether emotion of the user in inputting the video is enthusiasm or not (other conditions can also be set, such as whether the emotion is enough excited or not, whether the emotion is happy or not, and the like). If the emotion input by the user does not meet the corresponding preset condition in the indication, the user can be prompted to input the video again, or the user is prompted to be incapable of acquiring the rights and interests to be issued. And if the emotion input by the user meets the preset condition, issuing the rights and interests to the user.

Further, as shown in fig. 3 and 4, if the analysis result meets the predetermined condition, in addition to issuing a right to the user, the video data entered by the user may be sent to a corresponding platform (taking a video square facing public users as an example), and other users in the video square may interact in a manner of commenting, forwarding, agreeing, and the like on the video, or continue to share the video data for the second time. At this time, the merchant issuing the rights and interests can acquire the interactive effect of the video data by means of acquiring an effect log and the like, and analyze subsequent business actions (for example, how to continue to issue the rights and interests), for example, if the interactive effect is good, the merchant can continue to execute the right and interests issuing strategy, and if the interactive effect is poor, the merchant can modify the existing issuing strategy, for example, modify the value of the issued rights and interests, the content of the indication and the like.

Furthermore, if the video recorded by the user is directly transmitted to the video square, it may be difficult to achieve a better interactive effect. Based on the method, the video data is processed, and then the processed video data is uploaded to a video square.

For example, under the same instruction, unprocessed video data (including voice data and image data) respectively input by a plurality of users is obtained, portrait pictures respectively corresponding to the users are extracted from the image data, then the portrait pictures of the users are merged into each frame image, and the portrait pictures corresponding to the users are changed in the same picture as the unprocessed video data along with the playing of the frame image. In the process of playing the frame image, the voice data input by a plurality of users are simultaneously played, the video data are generated, the users are spliced into the same picture, and the voice data are simultaneously played.

In one or more embodiments of the present description, the instructions may generally require the user to speak a corresponding word in addition to the emotional requirements. For example, the user is required to repeatedly shout a sentence such as "i like article a", or the user is required to answer a question such as "what is there where you think article a is doing". Therefore, before the user issues the benefits, in addition to performing emotion calculation and recognition on the user, the words spoken by the user need to be analyzed to determine whether the words spoken by the user are consistent with the instructions, such as whether to shout repeatedly "i like article a", or whether to answer the question "what is there where you think article a is doing well".

In one or more embodiments of the present description, the scheme is likely to be performed in public places (e.g., in a convenience store, on a street, etc.), which may be more likely to cause confusion if multiple users participate in the scheme in the same place, considering that the current user (e.g., the current user may be shy, may be afraid of disturbing others) or other surrounding users (disturbed or frightened by noise emitted by the current user) may be confused by often indicating that the current user utters even loud. In order to solve the problem, the user is allowed to actively select a mouth shape to replace direct sound production according to the condition of the user, and the user can intelligently judge by the system which way to finish the indication.

In the case of a mouth, the user may enter the image data in a manner of opening the mouth with a very low sound or even without making a sound, and of course, the user may also enter an environmental sound at the same time.

At this time, if the text data cannot be acquired by the voice data, the acquired image data may be subjected to image recognition to determine changes in the facial expression and mouth shape of the user in the image data. The user's mouth shape changes while he or she is not speaking normally when entering image data. And when the user does not make sound intentionally, the user can usually and deliberately highlight the change of the mouth shape of the user, and the change of the mouth shape is larger at the moment, and can drive the muscles around the lips to generate larger changes, so that the corresponding facial expression change is easy to generate, which is different from the lip language identification in daily conversation. Based on the image data input method, a recognition model or a corresponding algorithm can be trained, text data to be expressed when the user inputs the image data can be recognized through the facial expression and the mouth shape of the user, and whether the text data is consistent with the indication or not is judged.

In one or more embodiments of the present specification, since the indication is set to improve the user experience and optimize the resource configuration, if a negative emotion is set in the indication, it is easy to cause the user's dislike and is not favorable for the user experience. Therefore, when the emotion request in the instruction is set, it is usually set as a positive emotion, for example, enthusiasm, joy, or the like, and the user's positive emotion can be aroused.

In one or more embodiments of the present description, even if the requirements in the instruction are relatively gentle, the instruction may have certain command properties due to the nature of the instruction itself, and the instruction may easily cause a part of the user to feel dislike. Based on this, when analyzing the emotion of the user, it can be recognized that the user has an obvious confrontation emotion (possibly because of counterfeeling, and possibly feels good and wants to be confused) when inputting data, for example, the instruction requires the user to call out "i like article a" enthusiastically, but the user may want to confront intentionally, so that the call out is that "i hate article a", "i like article B" (article B is a competitive article of article a), call out "i like article a" with a very counterfeeling emotion, and the like; or the instruction requires the user to answer "what is there where you think the a commodity does well", but the user answers "the a commodity looks ugly", "the a commodity has a poor use experience", and so on. From which it can be recognized that the user has a distinct countering emotion.

At this point, the indication may be adjusted in an attempt to reduce the user's subjective countering mood. The direction of the adjustment may be such that the indication need not be continued to be completed, and the user is pacified, for example, by playing or showing "bad experience you have given rise to, please give way to" to the user. The direction of adjustment may also be to reduce the difficulty required in the instruction, for example, to shout in enthusiasm "i like article a", adjust to shout "i like article a" or shout "i like product C (under the concept that article a is product C, articles produced by a specific enterprise, for example, article a is coca-cola, and product C is cola)". The direction of adjustment can also be according to the execution content that the user is directed at the instruction at present, adjust the instruction in compliance with this execution content, for example, originally instruct the user to shout "I like A commodity", but the user shout "I like B commodity", can adjust to instruct the user to shout "I like B commodity, but grand capture A commodity yet, so this kind of practice of complying with the user not only can placate the user condition, but also can make the user feel interesting, thereby improve interactive enthusiasm. In summary, by soothing the emotion of the user, the method helps to effectively reduce the influence of the reduction of the user experience, so that the scheme has better adaptability and fault tolerance for users with different characters, and helps to avoid bringing reverse effects.

In one or more embodiments of the present specification, the right page is, for example, a coupon pickup page, and different merchants respectively provide their own coupons and may also perform corresponding instructions. If the emotion detection and the content detection are used for judging that the user successfully executes the instruction, the corresponding coupon is sent to the user, so that the impression of the corresponding merchant in the user heart is deepened, the method is also an active and interesting interaction mode for the user, and the improvement of the user's good feeling on the merchant is facilitated.

In one or more embodiments of the present specification, when a user purchases a commodity through an online shopping line or a supermarket online shopping line, the user initiates a commodity payment request, and a corresponding platform or device receives the commodity payment request. For example, when a to-be-paid commodity is scanned by a scanning gun in a supermarket, a payment request for the commodity is received by a collection device, or when the commodity is purchased by an automatic payment machine, the payment request for the commodity is received by the automatic payment machine, or when a user purchases on the internet on an e-commerce platform, the payment request for the commodity is received by the e-commerce platform, or when the user pays on the internet on line or off line through a payment channel, the payment request for the commodity is received by the payment platform.

And confirming the commodities to be paid, and if preset appointed commodities exist in the commodities to be paid, displaying the indication corresponding to the appointed commodities and the rights and interests to be issued in a rights and interests display page for the user. The commodity payment behavior of the user is that the user actively initiates purchase, which indicates that the user has a high probability of liking or approving the commodity to be paid, so the user is likely to be more willing to complete the data entry according to the indication. For example, when a user purchases a commodity E to be paid, a commodity F to be paid and a commodity G to be paid once, and confirms that the commodity E to be paid is a specified commodity, the user is shown an indication corresponding to the commodity E, and the user is prompted to "i like the commodity E", and when the user completes the indication, the user pays, and the price of the commodity E is reduced in favor, so that the user is prompted to complete the indication.

Of course, the present solution has more application scenarios, and is not limited to the above example, and according to the above concept, the present solution can be implemented in other scenarios that require the user to be served, so as to achieve win-win between the user and the service party.

Based on the same idea, one or more embodiments of the present specification further provide apparatuses and devices corresponding to the above-described method, as shown in fig. 5 and fig. 6.

Fig. 5 is a schematic structural diagram of a user interaction device according to one or more embodiments of the present specification, where a dashed box represents an optional module, and the device includes:

a rights page display module 502 for displaying a rights page containing an indication and a corresponding right to be issued;

an acquisition module 504 that acquires voice data and/or image data entered by a user in response to the indication;

an emotion analysis module 506, which processes the acquired data through emotion calculation to analyze the emotion of the user during the recording;

and the right and interest processing module 508, if the emotion of the user during the recording is determined to be the preset positive emotion according to the analysis result, issuing the right and interest to be issued to the user.

Optionally, the system further includes a judging module 510 and a first text determining module 512;

the determining module 510 determines whether the user inputs the voice data;

the first text determining module 512, if the determination result of the determining module 510 is yes, converting the voice data into text data;

determining that content in the text data is consistent with the indication.

Optionally, the user has at least entered image data;

the apparatus further comprises a second text determination module 514;

the second text determination module 514, if the determination module 510 determines that the voice data is not entered by the user, recognizing facial expressions and mouth shape changes of the user according to the image data;

according to the facial expression and the mouth shape change, identifying text data to be expressed when the user inputs the image data;

determining that content in the text data is consistent with the indication.

Optionally, an indication adjusting module 516 is further included;

the indication adjustment module 516, if the result of the analysis reflects the user fighting the indication, adjusts the indication accordingly to try to reduce the fighting mood of the user.

Optionally, a data sending module 518 is further included;

the data sending module 518, if the analysis result meets the predetermined condition corresponding to the indication, sends the video data generated according to the acquired data to a corresponding platform, so as to determine a service action according to the interaction effect generated by the generated video data through the corresponding platform;

the generation process of the video data comprises the following steps:

acquiring voice data and image data which are respectively input by a plurality of users under the instruction;

and extracting portrait pictures corresponding to the users from the image data, combining the portrait pictures of the users in the same picture, and playing the voice data input by the users in the playing process of the frame image to generate video data.

Optionally, the rights and interests page display module 502 receives a commodity payment request sent by a user;

determining that a preset appointed commodity exists in the commodities to be paid corresponding to the commodity payment request;

and displaying a rights and interests page containing the indication corresponding to the specified commodity and the rights and interests to be issued to the user.

Fig. 6 is a schematic structural diagram of a user interaction device provided in one or more embodiments of the present specification, where the device includes:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to:

displaying a rights page containing an indication and a corresponding right to be issued;

collecting voice data and/or image data entered by a user in response to the indication;

processing the acquired data through emotion calculation to analyze the emotion of the user during the recording;

and if the emotion of the user during the recording is judged to be the preset positive emotion according to the analysis result, the right and the interest to be issued are issued to the user.

The processor and the memory may communicate via a bus, and the device may further include an input/output interface for communicating with other devices.

Based on the same idea, one or more embodiments of the present specification further provide a non-volatile computer storage medium corresponding to the above method, and storing computer-executable instructions configured to:

displaying a rights page containing an indication and a corresponding right to be issued;

collecting voice data and/or image data entered by a user in response to the indication;

processing the acquired data through emotion calculation to analyze the emotion of the user during the recording;

and if the emotion of the user during the recording is judged to be the preset positive emotion according to the analysis result, the right and the interest to be issued are issued to the user.

In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.

The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.

The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the various elements may be implemented in the same one or more software and/or hardware implementations of the present description.

As will be appreciated by one skilled in the art, the present specification embodiments may be provided as a method, system, or computer program product. Accordingly, embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.

The description has been presented with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the description. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

This description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the embodiments of the apparatus, the device, and the nonvolatile computer storage medium, since they are substantially similar to the embodiments of the method, the description is simple, and for the relevant points, reference may be made to the partial description of the embodiments of the method.

The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.

The above description is merely one or more embodiments of the present disclosure and is not intended to limit the present disclosure. Various modifications and alterations to one or more embodiments of the present description will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement or the like made within the spirit and principle of one or more embodiments of the present specification should be included in the scope of the claims of the present specification.