CN108073896B - User watches content real-time analyzer - Google Patents
User watches content real-time analyzer Download PDFInfo
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- CN108073896B CN108073896B CN201711191267.3A CN201711191267A CN108073896B CN 108073896 B CN108073896 B CN 108073896B CN 201711191267 A CN201711191267 A CN 201711191267A CN 108073896 B CN108073896 B CN 108073896B
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/19—Sensors therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/20—Image enhancement or restoration by the use of local operators
- G06T5/30—Erosion or dilatation, e.g. thinning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/193—Preprocessing; Feature extraction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
- G06T2207/30201—Face
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30232—Surveillance
Abstract
The present invention relates to a kind of users to watch content real-time analyzer, including：Starting device is detected, is arranged on the integrated circuit board of PDA device, for when receiving PDA device starting-up signal, issuing starting detection signal, is also used to when receiving PDA device off signal, issues and close detection signal；Super clear picture pick-up device, is arranged in the front-side frame of PDA device, and the front for the user to PDA device carries out super clear real time data acquisition, to obtain and export user's direct picture；Pupil identifies equipment, is arranged on the integrated circuit board of PDA device, connect with the super clear picture pick-up device, and user's pupil subgraph is extracted from user's direct picture for receiving user's direct picture, and based on preset reference pupil pattern.By means of the invention it is possible to improve the analysis efficiency that user watches content type.
Description
Technical field
The present invention relates to intellectual analysis fields more particularly to a kind of user to watch content real-time analyzer.
Background technique
PDA (Personal Digital Assistant), also known as palm PC can help us to complete in movement
Middle work, study, amusement etc..Classify by using, is divided into technical grade PDA and consumer goods PDA.Technical grade PDA is mainly used in
Industrial circle, common are barcode scanner, RFID reader, POS machine etc. can be referred to as PDA；The ratio that consumer goods PDA includes
It is more, smart phone, tablet computer, hand-held game machine etc..
PDA (Personal Digital Assistant), is the meaning of personal digital assistant.As the term suggests being exactly to assist
The digital tool of personal work, it is main that the functions such as account, address list, business card exchange and routing are provided.
Currently, due to the diversity of the function of PDA device and rich, user is frequent cross for a long time using PDA device and
Do not know, time next coarse calculating is all based on to the detection of the degree of fatigue of user in the prior art, is not accounted for not
With display content the accumulative effect of human fatigue degree is different, so as to cause the degree of fatigue of user judgement and be not allowed
Really.
Summary of the invention
To solve the above-mentioned problems, the present invention provides a kind of users to watch content real-time analyzer, can receive
When detecting signal to starting, start super clear picture pick-up device, and receives from correlation and identify that equipment or non-correlation identification equipment are defeated
Content type in the PDA device display interface of pupil reflection out, the super clear chronologically-based shooting of picture pick-up device are more
Width user's direct picture, using the chronologically-based reception content type of User Status analytical equipment, the User Status analysis
Equipment is also based on the various content types difference that current time receives between at the time of receiving the starting detection signal
Duration determines human fatigue degree.
The present invention at least has the important inventive point in following a few places：
(1) the image recognition apparatus selection mechanism based on image resolution rate score is established, so that the image of various resolution ratio
Corresponding efficient identification processing can be obtained；
(2) Morphological scale-space of the controllable dynamics of objects in images complexity is taken based on to the image after identifying processing,
Improve the quality of the image for subsequent processing；
(3) establish based on current time to receive it is described starting detection signal at the time of between receive it is various in
Hold type and distinguish duration, determines the testing mechanism of human fatigue degree, improve the precision of human fatigue degree detecting.
According to an aspect of the present invention, a kind of user's viewing content real-time analyzer is provided, the system comprises：
Starting device is detected, is arranged on the integrated circuit board of PDA device, for receiving PDA device starting-up signal
When, starting detection signal is issued, is also used to when receiving PDA device off signal, issues and closes detection signal；
Super clear picture pick-up device, is arranged in the front-side frame of PDA device, and the front for the user to PDA device carries out
Super clear real time data acquisition, to obtain and export user's direct picture；
Pupil identifies equipment, is arranged on the integrated circuit board of PDA device, connect, be used for the super clear picture pick-up device
User's direct picture is received, and user's pupil is extracted from user's direct picture based on preset reference pupil pattern
Subgraph；
Data analysis equipment is arranged on the integrated circuit board of PDA device, connect, is used for pupil identification equipment
User's pupil subgraph is received, and determines and export the real-time resolution of user's pupil subgraph.
Detailed description of the invention
Embodiment of the present invention is described below with reference to attached drawing, wherein：
Fig. 1 is to be set according to the User Status analysis of user's viewing content real-time analyzer shown in embodiment of the present invention
Standby interface diagram.
Fig. 2 is the structural block diagram that content real-time analyzer is watched according to the user shown in embodiment of the present invention.
Fig. 3 is the step flow chart that content real-time analysis method is watched according to the user shown in embodiment of the present invention.
Specific embodiment
The embodiment for watching content real-time analyzer to user of the invention below with reference to accompanying drawings carries out specifically
It is bright.
The eye fatigue degree judgement of PDA user in the prior art lacks the recognition mechanism based on viewing content.In order to gram
Above-mentioned deficiency is taken, the present invention has built a kind of user's viewing content real-time analyzer, and specific embodiment is as follows.
Fig. 1 is to be set according to the User Status analysis of user's viewing content real-time analyzer shown in embodiment of the present invention
Standby interface diagram.The User Status analytical equipment is realized using control chip as shown in Figure 1.
Fig. 2 is the structural block diagram that content real-time analyzer is watched according to the user shown in embodiment of the present invention, institute
The system of stating includes：
Starting device is detected, is arranged on the integrated circuit board of PDA device, for receiving PDA device starting-up signal
When, starting detection signal is issued, is also used to when receiving PDA device off signal, issues and closes detection signal；
Super clear picture pick-up device, is arranged in the front-side frame of PDA device, and the front for the user to PDA device carries out
Super clear real time data acquisition, to obtain and export user's direct picture；
Pupil identifies equipment, is arranged on the integrated circuit board of PDA device, connect, be used for the super clear picture pick-up device
User's direct picture is received, and user's pupil is extracted from user's direct picture based on preset reference pupil pattern
Subgraph；
Data analysis equipment is arranged on the integrated circuit board of PDA device, connect, is used for pupil identification equipment
User's pupil subgraph is received, and determines and export the real-time resolution of user's pupil subgraph.
Then, the specific structure for continuing to watch user of the invention content real-time analyzer carries out further
It is bright.
The user watches in content real-time analyzer：
Corrode expansion process equipment, is connect with the data analysis equipment, for receiving user's pupil subgraph, base
Object complexity in user's pupil subgraph is determined to swollen after the first corrosion treatment of user's pupil subgraph execution
The dynamics of swollen processing, to expansion process after the first corrosion treatment of user's pupil subgraph execution, to export morphological images,
In, the object complexity in user's pupil subgraph is higher, and the dynamics of expansion process is bigger after the first corrosion treatment of execution；
Correlation identifies equipment, connect with corrosion expansion process equipment, for receiving the morphological images, in the reality
When resolution ratio when transfiniting, start the correlation identifying processing to the morphological images, particularly relevant property identifying processing is as follows：Base
The implicit layer number of the deep neural network of performance objective identification is determined in the real-time resolution, and shown real-time resolution is got over
Height, the implicit layer number determined are more, wherein the deep neural network is made of input layer, hidden layer and output layer, input
Layer input is morphological images, and hidden layer is one or more, for successively carrying out to the morphological images of input layer input
Feature abstraction, output layer are connect with the last one hidden layer, and the result for the last one hidden layer to be carried out feature abstraction is defeated
Out；
Non-correlation identifies equipment, connect with corrosion expansion process equipment, for receiving the morphological images, described
When real-time resolution does not transfinite, start to the non-correlation identifying processings of the morphological images, at non-specific correlation identification
It manages as follows：The implicit layer number of the deep neural network of performance objective identification is fixed, wherein the deep neural network is by inputting
Layer, hidden layer and output layer composition, input layer input is morphological images, and implicit layer number is fixed, for successively to input
The morphological images of layer input carry out feature abstraction, and output layer is connect with the last one hidden layer, for implying the last one
Layer carries out the result output of feature abstraction；
Wherein, the output layer of the deep neural network of the correlation identification equipment and non-correlation identification equipment is defeated
Out be all pupil reflection PDA device display interface in content type；
User Status analytical equipment identifies equipment and the non-phase with the detection starting device, the correlation respectively
The identification equipment connection of closing property, for when receiving starting detection signal, starting the super clear picture pick-up device, and reception from
It is interior in the PDA device display interface of the pupil reflection of the correlation identification equipment or non-correlation identification equipment output
Hold type, described super clear chronologically-based several user's direct pictures of shooting of picture pick-up device, the User Status analytical equipment
Chronologically-based reception content type, the User Status analytical equipment are also based on current time to receiving starting inspection
The various content types difference duration received between at the time of surveying signal, determines human fatigue degree.
The user watches in content real-time analyzer：
The User Status analytical equipment closes the super clear picture pick-up device when receiving the closing detection signal,
And operation is zeroed out to human fatigue degree.
The user watches in content real-time analyzer：
It include image receiving unit, object analysis unit and corrosion treatment unit and swollen in the corrosion expansion process equipment
Swollen processing unit.
And the user watches in content real-time analyzer：
In the corrosion expansion process equipment, described image receiving unit is connect with the data analysis equipment, is used for
Receive user's pupil subgraph, the object analysis unit respectively with described image receiving unit and the corrosion treatment list
Member connection, for determining the object complexity in user's pupil subgraph, the corrosion treatment unit also with the expansion
Processing unit connection, the corrosion treatment unit and the expansion process unit are for executing elder generation to user's pupil subgraph
Expansion process after corrosion treatment.
Fig. 3 is the step flow chart that content real-time analysis method is watched according to the user shown in embodiment of the present invention, institute
The method of stating includes：
Using detection starting device, it is arranged on the integrated circuit board of PDA device, for receiving PDA device booting
When signal, starting detection signal is issued, is also used to when receiving PDA device off signal, issues and closes detection signal；
Using super clear picture pick-up device, it is arranged in the front-side frame of PDA device, the front for the user to PDA device
Super clear real time data acquisition is carried out, to obtain and export user's direct picture；
Equipment is identified using pupil, is arranged on the integrated circuit board of PDA device, is connect with the super clear picture pick-up device,
User is extracted from user's direct picture for receiving user's direct picture, and based on preset reference pupil pattern
Pupil subgraph；
Using data analysis equipment, it is arranged on the integrated circuit board of PDA device, is connect with pupil identification equipment,
For receiving user's pupil subgraph, and determine and export the real-time resolution of user's pupil subgraph.
Then, the specific steps for continuing to watch user of the invention content real-time analysis method carry out further
It is bright.
The user watches content real-time analysis method：
Using corrosion expansion process equipment, it is arranged on the integrated circuit board of PDA device, connects with the data analysis equipment
It connects, for receiving user's pupil subgraph, is determined based on the object complexity in user's pupil subgraph to described
User's pupil subgraph executes the dynamics of expansion process after first corrosion treatment, executes at first corrosion to user's pupil subgraph
Expansion process after reason, to export morphological images, wherein the object complexity in user's pupil subgraph is higher, executes
First corrosion treatment after expansion process dynamics it is bigger；
Equipment is identified using correlation, is arranged on the integrated circuit board of PDA device, is connected with corrosion expansion process equipment
It connects, for receiving the morphological images, when the real-time resolution transfinites, starts the correlation to the morphological images
Identifying processing, particularly relevant property identifying processing are as follows：The depth nerve of performance objective identification is determined based on the real-time resolution
The implicit layer number of network, shown real-time resolution is higher, and the implicit layer number determined is more, wherein the depth nerve net
Network is made of input layer, hidden layer and output layer, and input layer input is morphological images, and hidden layer is one or more, is used
Feature abstraction is carried out to the morphological images of input layer input in successively, output layer is connect with the last one hidden layer, and being used for will
The last one hidden layer carries out the result output of feature abstraction；
Equipment is identified using non-correlation, is arranged on the integrated circuit board of PDA device, is connected with corrosion expansion process equipment
It connects, for receiving the morphological images, when the real-time resolution does not transfinite, starts the non-phase to the morphological images
Closing property identifying processing, non-specific correlation identifying processing are as follows：The implicit layer number of the deep neural network of performance objective identification
It is fixed, wherein the deep neural network is made of input layer, hidden layer and output layer, and input layer input is morphology figure
Picture, implicit layer number are fixed, for successively to input layer input morphological images carry out feature abstraction, output layer and last
A hidden layer connection, the result for the last one hidden layer to be carried out to feature abstraction export；
Wherein, the output layer of the deep neural network of the correlation identification equipment and non-correlation identification equipment is defeated
Out be all pupil reflection PDA device display interface in content type；
Using User Status analytical equipment, it is arranged on the integrated circuit board of PDA device, is set respectively with detection starting
Standby, the described correlation identification equipment is connected with non-correlation identification equipment, for receiving the starting detection signal
When, start the super clear picture pick-up device, and receive from the correlation and identify equipment or non-correlation identification equipment output
Pupil reflection PDA device display interface in content type, the super chronologically-based shooting of clear picture pick-up device several
User's direct picture, the chronologically-based reception content type of User Status analytical equipment, the User Status analysis are set
The standby various content types also received based on current time between at the time of receiving the starting detection signal are held respectively
The continuous time determines human fatigue degree.
The user watches in content real-time analysis method：
The User Status analytical equipment closes the super clear picture pick-up device when receiving the closing detection signal,
And operation is zeroed out to human fatigue degree.
The user watches in content real-time analysis method：
It include image receiving unit, object analysis unit and corrosion treatment unit and swollen in the corrosion expansion process equipment
Swollen processing unit.
The user watches in content real-time analysis method：
In the corrosion expansion process equipment, described image receiving unit is connect with the data analysis equipment, is used for
Receive user's pupil subgraph, the object analysis unit respectively with described image receiving unit and the corrosion treatment list
Member connection, for determining the object complexity in user's pupil subgraph, the corrosion treatment unit also with the expansion
Processing unit connection, the corrosion treatment unit and the expansion process unit are for executing elder generation to user's pupil subgraph
Expansion process after corrosion treatment.
In addition, PDA, that is, palm PC maximum feature is that have open operating system, software and hardware upgrading, collection are supported
The input of information, manages and is transmitted to one at storage, has the powers such as common office, amusement, mobile communication.Therefore,
PDA can be referred to as a mobile office completely.It certainly, is not that any PDA has all of above function；Even if having,
It may also can not achieve due to lacking corresponding service.But it is contemplated that the trend and trend of PDA development are exactly to calculate, lead to
The multi-functional fusion such as letter, network, storage, amusement, e-commerce.
In fact for palm PC also none exact definition, also notepad is referred to as palm PC by someone, generally
In the case of palm PC refer to that with PalmOS, WindowsCE or other open operating systems, there is network function, and
And software and hardware upgrading can freely be carried out by user.That is, user other than development hardware, can also install software additional,
Even can oneself exploitation program operate above at it.
In use, his, conveniently moving more easy to operate than desktop computer, practical function, eliminate desktop computer five are big
Limitation, i.e.,：Mobile restricted, the complexity, the difficulty of mobile networking, the valuableness of price, the idle property of purposes that use.
Content real-time analyzer and method are watched using user of the invention, are based on viewing for lacking in the prior art
The technical issues of fatigue strength judgment mechanism of content, carries out super clear real time data acquisition by the front of the user to PDA device,
To obtain and export user's direct picture, based on deep neural network identify user viewing PDA device display interface in
Content type, and viewing time is combined to realize the judgement to human fatigue degree, to solve above-mentioned technical problem.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of variation.Therefore, anything that does not depart from the technical scheme of the invention are right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (2)
1. a kind of user watches content real-time analyzer, which is characterized in that the system comprises：
Starting device is detected, is arranged on the integrated circuit board of PDA device, for sending out when receiving PDA device starting-up signal
Starting detection signal out, is also used to when receiving PDA device off signal, issues and closes detection signal；
Super clear picture pick-up device, is arranged in the front-side frame of PDA device, and the front for the user to PDA device carries out super clear
Real time data acquisition, to obtain and export user's direct picture；
Pupil identifies equipment, is arranged on the integrated circuit board of PDA device, connect with the super clear picture pick-up device, for receiving
User's direct picture, and user's pupil subgraph is extracted from user's direct picture based on preset reference pupil pattern
Picture；
Data analysis equipment is arranged on the integrated circuit board of PDA device, connect with pupil identification equipment, for receiving
User's pupil subgraph, and determine and export the real-time resolution of user's pupil subgraph；
Corrode expansion process equipment, is arranged on the integrated circuit board of PDA device, connect, be used for the data analysis equipment
User's pupil subgraph is received, is determined based on the object complexity in user's pupil subgraph to user's pupil
Subgraph executes the dynamics of expansion process after first corrosion treatment, expands after executing first corrosion treatment to user's pupil subgraph
Processing, to export morphological images, wherein the object complexity in user's pupil subgraph is higher, the first corrosion of execution
The dynamics of expansion process is bigger after processing；
Correlation identifies equipment, is arranged on the integrated circuit board of PDA device, connect with corrosion expansion process equipment, for connecing
The morphological images are received, when the real-time resolution transfinites, start the correlation identifying processing to the morphological images,
Particularly relevant property identifying processing is as follows：The implicit of the deep neural network of performance objective identification is determined based on the real-time resolution
Layer number, shown real-time resolution is higher, and the implicit layer number determined is more；
Wherein, the deep neural network is made of input layer, hidden layer and output layer, and input layer input is morphology figure
Picture, hidden layer be one or more, for successively to input layer input morphological images carry out feature abstraction, output layer with most
The connection of the latter hidden layer, the result for the last one hidden layer to be carried out to feature abstraction export；
Non-correlation identifies equipment, is arranged on the integrated circuit board of PDA device, connect, is used for corrosion expansion process equipment
The morphological images are received, when the real-time resolution does not transfinite, starts and the non-correlation of the morphological images is known
Other places reason, non-specific correlation identifying processing are as follows：The implicit layer number of the deep neural network of performance objective identification is fixed,
In, the deep neural network is made of input layer, hidden layer and output layer, and input layer input is morphological images, is implied
Layer number is fixed, and for successively carrying out feature abstraction to the morphological images of input layer input, output layer is implicit with the last one
Layer connection, the result for the last one hidden layer to be carried out to feature abstraction export；
Wherein, the output layer of the deep neural network of the correlation identification equipment and non-correlation identification equipment exports
It is all the content type in the PDA device display interface of pupil reflection；
User Status analytical equipment, is arranged on the integrated circuit board of PDA device, respectively with the detection starting device, described
Correlation identifies that equipment is connected with non-correlation identification equipment, for starting when receiving the starting detection signal
The super clear picture pick-up device, and it is anti-to receive the pupil for identifying that equipment or non-correlation identification equipment export from the correlation
The content type in PDA device display interface reflected, super clear chronologically-based several users of the shooting front of picture pick-up device
Image, the chronologically-based reception content type of User Status analytical equipment, the User Status analytical equipment are also based on
The various content types that current time receives between at the time of receiving the starting detection signal distinguish duration,
Determine human fatigue degree；
The User Status analytical equipment closes the super clear picture pick-up device, and right when receiving the closing detection signal
Human fatigue degree is zeroed out operation；
It include image receiving unit in the corrosion expansion process equipment, at object analysis unit and corrosion treatment unit and expansion
Manage unit.
2. user as described in claim 1 watches content real-time analyzer, it is characterised in that：
In the corrosion expansion process equipment, described image receiving unit is connect with the data analysis equipment, for receiving
User's pupil subgraph, the object analysis unit connect with described image receiving unit and the corrosion treatment unit respectively
Connect, for determining the object complexity in user's pupil subgraph, the corrosion treatment unit also with the expansion process
Unit connection, the corrosion treatment unit and the expansion process unit are used to first corrode user's pupil subgraph execution
Expansion process after processing.
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| CN201711191267.3A CN108073896B (en) | 2017-11-24 | 2017-11-24 | User watches content real-time analyzer |
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|---|---|---|---|
| CN201711191267.3A CN108073896B (en) | 2017-11-24 | 2017-11-24 | User watches content real-time analyzer |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104133548A (en) * | 2013-05-03 | 2014-11-05 | 中国移动通信集团公司 | Method and device for determining viewpoint area and controlling screen luminance |
| CN105425967A (en) * | 2015-12-16 | 2016-03-23 | 中国科学院西安光学精密机械研究所 | Sight tracking and human eye area-of-interest positioning system |
| CN107817899A (en) * | 2017-11-24 | 2018-03-20 | 姜翠英 | A kind of user watches content real-time analysis method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2006063076A2 (en) * | 2004-12-07 | 2006-06-15 | Aoptix Technologies | Iris imaging using reflection from the eye |
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2017
- 2017-11-24 CN CN201711191267.3A patent/CN108073896B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104133548A (en) * | 2013-05-03 | 2014-11-05 | 中国移动通信集团公司 | Method and device for determining viewpoint area and controlling screen luminance |
| CN105425967A (en) * | 2015-12-16 | 2016-03-23 | 中国科学院西安光学精密机械研究所 | Sight tracking and human eye area-of-interest positioning system |
| CN107817899A (en) * | 2017-11-24 | 2018-03-20 | 姜翠英 | A kind of user watches content real-time analysis method |
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