CN113095264A - Financial management's multimedia training system - Google Patents

Financial management's multimedia training system Download PDF

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CN113095264A
CN113095264A CN202110430270.6A CN202110430270A CN113095264A CN 113095264 A CN113095264 A CN 113095264A CN 202110430270 A CN202110430270 A CN 202110430270A CN 113095264 A CN113095264 A CN 113095264A
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CN113095264B (en
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孙玲
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Zibo Vocational Institute
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Abstract

The invention discloses a multimedia training system for financial management, which comprises a personnel monitoring unit, a data selecting unit, a behavior judging unit, a processor, an item setting cache library, a screen synchronizing unit, a personal database, a learning unit, a display unit, a storage unit and a management module, wherein the personnel monitoring unit is used for monitoring the behavior of a user; the personnel monitoring unit is a monitoring camera directly connected with a user computer terminal and is used for acquiring real-time image information of a user during listening; the invention obtains real-time image information when a user listens to a class by virtue of a personnel monitoring unit, transmits the real-time image information to a data selecting unit, and then performs key data selecting operation by utilizing the data selecting unit to obtain a vertical included angle Cv and a close distance Dz; then, a behavior judgment unit is used for performing behavior analysis on the vertical included angle Cv and the distance Dz, and according to an analysis result, a departure signal, an off-line signal, a departure error signal, a return signal and an error alarm are correspondingly generated; for determining a real-time learning status to the user.

Description

Financial management's multimedia training system
Technical Field
The invention belongs to the field of teaching management, relates to a teaching supervision technology, and particularly relates to a multimedia training system for financial management.
Background
The patent with publication number CN203118257U discloses a comprehensive practical training teaching system for financial management. The teaching method for teaching the student training by the financial management major is simple at present, and the used training teaching system is single in project and weak in comprehensiveness. Training for multiple subjects with multiple ports cannot be performed simultaneously. The utility model provides a real teaching system of instructing is synthesized in financial management which constitutes and includes: through real extension (2) of instructing of a set of financial affairs of service host computer (1) and a set of network signal connection, the service host computer take printer (3) certainly and connect teaching show screen (4), speaker (5) and handwriting pad (6) simultaneously. The utility model discloses be applied to the real teaching equipment of instructing of financial management specialty synthesis.
Although the application discloses a teaching system for financial management comprehensive practical training, in the current situation of multimedia remote teaching, how to listen to all learning contents learned by a user does not have a good supervision method, and how to judge how to learn while the user is performing remote multimedia teaching cannot be performed, and contents ignored by the user are automatically recorded, so that the user is forced to finish all courses; to this end, a solution is provided.
Disclosure of Invention
The invention aims to provide a multimedia training system for financial management.
The purpose of the invention can be realized by the following technical scheme:
a multimedia training system for financial management comprises a personnel monitoring unit, a data selecting unit, a behavior judging unit, a processor, an item setting cache library, a screen synchronizing unit, a personal database, a learning unit, a display unit, a storage unit and a management module;
the personnel monitoring unit is a monitoring camera directly connected with a user computer terminal and used for acquiring real-time image information of a user during listening and transmitting the real-time image information to the data selecting unit, and the data selecting unit receives the real-time image information transmitted by the personnel monitoring unit and performs key data selecting operation on the real-time image information to obtain a vertical included angle Cv and a close distance Dz;
the data selecting unit is used for transmitting the vertical included angle Cv and the distance Dz to the behavior judging unit; the behavior judgment unit receives the vertical included angle Cv and the close distance Dz transmitted by the data selection unit, performs behavior analysis on the vertical included angle Cv and the close distance Dz, and generates an outgoing signal, an off-line signal, an error signal, a return signal and an error alarm according to analysis results;
the behavior judging unit is used for transmitting the generated outgoing signal, the offline signal, the error signal, the incoming signal and the error alarm to the processor;
the screen synchronization unit is used for automatically synchronizing the learning content of the user display screen; the processor is used for combining the screen synchronization unit to perform screen abnormity processing on the outgoing signal, the offline signal, the error-separating signal and the incoming signal to obtain time-missing learning information and returning a forced learning signal to the processor according to a processing result;
the screen synchronization unit is used for transmitting the obtained information of the missed learning to the item cache library; the processor generates a migration signal to the personal database when generating the forced learning signal;
when the personal database receives a migration signal transmitted by the processor, the missing learning video in the item cache is automatically migrated to the personal database;
the learning unit is used for carrying out forced course supplementing operation in combination with the personal database when a user learns, and the specific operation steps are as follows:
acquiring all missed learning videos in a personal database, and performing forced playing learning;
when the forced playing learning is carried out, after the user finishes playing the missed learning video, the corresponding missed learning video in the personal database can be automatically deleted;
the management module is in communication connection with the processor and is used for recording all preset numerical values.
Further, the key data selecting operation comprises the following specific steps:
the method comprises the following steps: acquiring real-time image information of a corresponding user;
step two: extracting a user's earline;
step three: acquiring an included angle formed by an earline and a plane where a computer screen is located, wherein the included angle is the numerical value of an acute angle part and is marked as a vertical included angle Cv;
step four: then, acquiring a nose tip point of the user, wherein the nose tip point refers to a point where a plane where the computer screen is located moves towards the direction of the user when the user looks at the computer screen, and the point which is firstly contacted with the nose is the nose tip point;
step five: taking a central line in the horizontal direction of the computer display screen, wherein the central line divides the computer display screen into an upper display part and a lower display part in the vertical direction; taking a plane where the central line is positioned and parallel to the horizontal plane, and marking the plane as a screen bisection plane;
step six: and acquiring the shortest distance from the nose tip point to the screen bisection plane, and marking the shortest distance as a distance Dz.
Further, the specific acquisition mode of the lug wire in the step two is as follows:
marking the lowest points of the earlobes of the two ears of the user as lobe points;
connecting the two vertical division points to obtain a division line;
and taking a line perpendicular to the division point line on a plane parallel to the horizontal plane, wherein the division point line is positioned on the plane parallel to the horizontal plane.
Further, the behavior analysis comprises the following specific steps:
s1: acquiring a vertical included angle Cv and a close distance Dz;
s2: when Dz is larger than or equal to X1, an exit signal is generated;
when Cv is more than or equal to 0 and less than or equal to X2, an exit signal is generated; x1 and X2 are both preset values, and the specific value of X2 is 45 degrees;
when no relevant data is generated in the vertical angle Cv and the close distance Dz, a leaving signal is generated;
s3: if no detection is made within time T1 after the generation of the exit signal
When Dz is less than X1 and Cv is less than or equal to 90 degrees and more than X2, generating an off-line signal; otherwise, generating an error signal; t1 is a preset time; specifically, the value can be two minutes;
when the offline signal is generated, if Dz is less than X1 and X2 is less than or equal to Cv and less than or equal to 90 degrees, a return signal is generated;
s4: if either the off-line signal or the error signal is not generated within time T1 after the generation of the departure signal, a false alarm is generated.
Further, the screen exception handling specifically comprises the following steps:
SS 1: when the leaving signal is generated, the processor automatically transmits a screen recording signal to the screen synchronization unit and automatically starts to record the learning content of the display screen of the user;
SS 2: after the lapse of the time T1,
if the off-line signal is generated, continuously recording the learning content until the return signal is received, and marking the recorded content as a missed learning video;
if the error signal is generated, deleting the current cache and stopping recording;
SS 3: and obtaining the information of the learning in the missing time, and returning a forced learning signal to the processor.
Furthermore, in the step of the forced lesson supplementing operation, the user selects to re-learn next time through a learning unit;
meanwhile, the system can be started to monitor when the user learns the missed learning video.
Further, the processor is used for automatically stamping the error alarm transmitted by the behavior judging unit to form an error record when the error alarm is received; the processor is used for transmitting the error record to the display unit and the storage unit;
the display unit receives the error record transmitted by the processor and displays the error record in real time;
and the storage unit receives the error record transmitted by the processor and stores the error record in real time.
The invention has the beneficial effects that:
the invention obtains real-time image information when a user listens to a class by virtue of a personnel monitoring unit, transmits the real-time image information to a data selecting unit, and then performs key data selecting operation by utilizing the data selecting unit to obtain a vertical included angle Cv and a close distance Dz; then, a behavior judgment unit is used for performing behavior analysis on the vertical included angle Cv and the distance Dz, and according to an analysis result, a departure signal, an off-line signal, a departure error signal, a return signal and an error alarm are correspondingly generated; for determining a real-time learning status to the user;
meanwhile, the screen synchronization unit is used for automatically synchronizing the learning content of the user display screen; then the processor automatically combines the screen synchronization unit to perform screen abnormity processing on the outgoing signal, the offline signal, the error signal and the incoming signal to obtain the missing learning information, returns a forced learning signal to the processor according to the processing result to perform forced learning for the user to ignore the content and delete the original video, but restarts the system to monitor in the learning process to realize closed loop; the invention is simple and practical
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
As shown in fig. 1, a multimedia training system for financial management comprises a personnel monitoring unit, a data selecting unit, a behavior judging unit, a processor, an item setting cache library, a screen synchronizing unit, a personal database, a learning unit, a display unit, a storage unit and a management module;
the personnel monitoring unit is a monitoring camera directly connected with a user computer end and is used for acquiring real-time image information of a user during class listening and transmitting the real-time image information to the data selecting unit, the data selecting unit receives the real-time image information transmitted by the personnel monitoring unit and performs key data selecting operation on the real-time image information, and the specific key data selecting operation steps are as follows:
the method comprises the following steps: acquiring real-time image information of a corresponding user;
step two: the method comprises the following steps of extracting the ear drop of a user, wherein the specific acquisition mode of the ear drop is as follows:
marking the lowest points of the earlobes of the two ears of the user as lobe points;
connecting the two vertical division points to obtain a division line;
taking a line perpendicular to a division point line on a plane parallel to the horizontal plane, wherein the division point line is positioned on the plane parallel to the horizontal plane;
step three: acquiring an included angle formed by an earline and a plane where a computer screen is located, wherein the included angle is the numerical value of an acute angle part and is marked as a vertical included angle Cv;
step four: then, acquiring a nose tip point of the user, wherein the nose tip point refers to a point where a plane where the computer screen is located moves towards the direction of the user when the user looks at the computer screen, and the point which is firstly contacted with the nose is the nose tip point;
step five: taking a central line in the horizontal direction of the computer display screen, wherein the central line divides the computer display screen into an upper display part and a lower display part in the vertical direction; taking a plane where the central line is positioned and parallel to the horizontal plane, and marking the plane as a screen bisection plane;
step six: acquiring the shortest distance from a nose tip point to a screen bisection plane, and marking the shortest distance as a distance Dz;
the data selecting unit is used for transmitting the vertical included angle Cv and the distance Dz to the behavior judging unit; the behavior judgment unit receives the vertical included angle Cv and the distance Dz transmitted by the data selecting unit, and performs behavior analysis on the vertical included angle Cv and the distance Dz, wherein the behavior analysis comprises the following specific steps:
s1: acquiring a vertical included angle Cv and a close distance Dz;
s2: when Dz is larger than or equal to X1, an exit signal is generated;
when Cv is more than or equal to 0 and less than or equal to X2, an exit signal is generated; x1 and X2 are both preset values, and the specific value of X2 is 45 degrees;
when no relevant data is generated in the vertical angle Cv and the close distance Dz, a leaving signal is generated;
s3: if no detection is made within time T1 after the generation of the exit signal
When Dz is less than X1 and Cv is less than or equal to 90 degrees and more than X2, generating an off-line signal; otherwise, generating an error signal; t1 is a preset time; specifically, the value can be two minutes;
when the offline signal is generated, if Dz is less than X1 and X2 is less than or equal to Cv and less than or equal to 90 degrees, a return signal is generated;
s4: if any one of the off-line signal and the error signal is not generated within the time T1 after the generation of the departure signal, generating an error alarm;
the behavior judging unit is used for transmitting the generated outgoing signal, the offline signal, the error signal, the incoming signal and the error alarm to the processor;
the screen synchronization unit is used for automatically synchronizing the learning content of the user display screen; the processor is used for combining the screen synchronization unit to carry out screen exception processing on the outgoing signal, the off-line signal, the error-separating signal and the incoming signal, and the screen exception processing specifically comprises the following steps:
SS 1: when the leaving signal is generated, the processor automatically transmits a screen recording signal to the screen synchronization unit and automatically starts to record the learning content of the display screen of the user;
SS 2: after the lapse of the time T1,
if the off-line signal is generated, continuously recording the learning content until the return signal is received, and marking the recorded content as a missed learning video;
if the error signal is generated, deleting the current cache and stopping recording;
SS 3: obtaining the missing learning information and returning a forced learning signal to the processor;
the screen synchronization unit is used for transmitting the obtained information of the missed learning to the item cache library; the processor generates a migration signal to the personal database when generating the forced learning signal;
when the personal database receives a migration signal transmitted by the processor, the missing learning video in the item cache is automatically migrated to the personal database;
the learning unit is used for carrying out forced course supplementing operation in combination with the personal database when a user learns, and the specific operation steps are as follows:
acquiring all missed learning videos in a personal database, and performing forced playing learning;
when the forced playing learning is carried out, the user can select to learn again next time through the learning unit, and after the user finishes playing the missed learning video, the corresponding missed learning video in the personal database can be automatically deleted; but the user can start the system to monitor when learning the missed learning video;
the processor is used for automatically stamping a time stamp to form an error record when receiving the error alarm transmitted by the behavior judging unit; the processor is used for transmitting the error record to the display unit and the storage unit;
the display unit receives the error record transmitted by the processor and displays the error record in real time;
the storage unit receives the error record transmitted by the processor and stores the error record in real time;
the management module is in communication connection with the processor and is used for recording all preset numerical values.
A multimedia training system for financial management is characterized in that real-time image information of a user during listening is acquired by means of a personnel monitoring unit, the real-time image information is transmitted to a data selecting unit, and then key data selecting operation is performed by the data selecting unit to obtain a vertical included angle Cv and a distance Dz; then, a behavior judgment unit is used for performing behavior analysis on the vertical included angle Cv and the distance Dz, and according to an analysis result, a departure signal, an off-line signal, a departure error signal, a return signal and an error alarm are correspondingly generated; for determining a real-time learning status to the user;
meanwhile, the screen synchronization unit is used for automatically synchronizing the learning content of the user display screen; then the processor automatically combines the screen synchronization unit to perform screen abnormity processing on the outgoing signal, the offline signal, the error signal and the incoming signal to obtain the missing learning information, returns a forced learning signal to the processor according to the processing result to perform forced learning for the user to ignore the content and delete the original video, but restarts the system to monitor in the learning process to realize closed loop; the invention is simple and practical.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.

Claims (7)

1. A multimedia training system for financial management is characterized by comprising a personnel monitoring unit, a data selecting unit, a behavior judging unit, a processor, an item setting cache library, a screen synchronizing unit, a personal database, a learning unit, a display unit, a storage unit and a management module;
the personnel monitoring unit is a monitoring camera directly connected with a user computer terminal and used for acquiring real-time image information of a user during listening and transmitting the real-time image information to the data selecting unit, and the data selecting unit receives the real-time image information transmitted by the personnel monitoring unit and performs key data selecting operation on the real-time image information to obtain a vertical included angle Cv and a close distance Dz;
the data selecting unit is used for transmitting the vertical included angle Cv and the distance Dz to the behavior judging unit; the behavior judgment unit receives the vertical included angle Cv and the close distance Dz transmitted by the data selection unit, performs behavior analysis on the vertical included angle Cv and the close distance Dz, and generates an outgoing signal, an off-line signal, an error signal, a return signal and an error alarm according to analysis results;
the behavior judging unit is used for transmitting the generated outgoing signal, the offline signal, the error signal, the incoming signal and the error alarm to the processor;
the screen synchronization unit is used for automatically synchronizing the learning content of the user display screen; the processor is used for combining the screen synchronization unit to perform screen abnormity processing on the outgoing signal, the offline signal, the error-separating signal and the incoming signal to obtain time-missing learning information and returning a forced learning signal to the processor according to a processing result;
the screen synchronization unit is used for transmitting the obtained information of the missed learning to the item cache library; the processor generates a migration signal to the personal database when generating the forced learning signal;
when the personal database receives a migration signal transmitted by the processor, the missing learning video in the item cache is automatically migrated to the personal database;
the learning unit is used for carrying out forced course supplementing operation in combination with the personal database when a user learns, and the specific operation steps are as follows:
acquiring all missed learning videos in a personal database, and performing forced playing learning;
when the forced playing learning is carried out, after the user finishes playing the missed learning video, the corresponding missed learning video in the personal database can be automatically deleted;
the management module is in communication connection with the processor and is used for recording all preset numerical values.
2. A financial management multimedia training system as claimed in claim 1, wherein the key data selection operation is performed by the steps of:
the method comprises the following steps: acquiring real-time image information of a corresponding user;
step two: extracting a user's earline;
step three: acquiring an included angle formed by an earline and a plane where a computer screen is located, wherein the included angle is the numerical value of an acute angle part and is marked as a vertical included angle Cv;
step four: then, acquiring a nose tip point of the user, wherein the nose tip point refers to a point where a plane where the computer screen is located moves towards the direction of the user when the user looks at the computer screen, and the point which is firstly contacted with the nose is the nose tip point;
step five: taking a central line in the horizontal direction of the computer display screen, wherein the central line divides the computer display screen into an upper display part and a lower display part in the vertical direction; taking a plane where the central line is positioned and parallel to the horizontal plane, and marking the plane as a screen bisection plane;
step six: and acquiring the shortest distance from the nose tip point to the screen bisection plane, and marking the shortest distance as a distance Dz.
3. A financial management multimedia training system as claimed in claim 2, wherein the specific acquisition of the lug line in step two is:
marking the lowest points of the earlobes of the two ears of the user as lobe points;
connecting the two vertical division points to obtain a division line;
and taking a line perpendicular to the division point line on a plane parallel to the horizontal plane, wherein the division point line is positioned on the plane parallel to the horizontal plane.
4. A financial management multimedia training system as claimed in claim 1, wherein the specific steps of the behavioral analysis are:
s1: acquiring a vertical included angle Cv and a close distance Dz;
s2: when Dz is larger than or equal to X1, an exit signal is generated;
when Cv is more than or equal to 0 and less than or equal to X2, an exit signal is generated; x1 and X2 are both preset values, and the specific value of X2 is 45 degrees;
when no relevant data is generated in the vertical angle Cv and the close distance Dz, a leaving signal is generated;
s3: if no detection is made within time T1 after the generation of the exit signal
When Dz is less than X1 and Cv is less than or equal to 90 degrees and more than X2, generating an off-line signal; otherwise, generating an error signal; t1 is a preset time; specifically, the value can be two minutes;
when the offline signal is generated, if Dz is less than X1 and X2 is less than or equal to Cv and less than or equal to 90 degrees, a return signal is generated;
s4: if either the off-line signal or the error signal is not generated within time T1 after the generation of the departure signal, a false alarm is generated.
5. A financial management multimedia training system as claimed in claim 1, wherein the screen exception handling comprises the steps of:
SS 1: when the leaving signal is generated, the processor automatically transmits a screen recording signal to the screen synchronization unit and automatically starts to record the learning content of the display screen of the user;
SS 2: after the lapse of the time T1,
if the off-line signal is generated, continuously recording the learning content until the return signal is received, and marking the recorded content as a missed learning video;
if the error signal is generated, deleting the current cache and stopping recording;
SS 3: and obtaining the information of the learning in the missing time, and returning a forced learning signal to the processor.
6. A financial management multimedia training system as claimed in claim 1, wherein the user selects the next re-study in said forced lesson supplementing operation step through a learning unit;
meanwhile, the system can be started to monitor when the user learns the missed learning video.
7. A financial management multimedia training system as claimed in claim 1, wherein the processor is configured to automatically timestamp the error alert transmitted by the behaviour decision unit to form an error log; the processor is used for transmitting the error record to the display unit and the storage unit;
the display unit receives the error record transmitted by the processor and displays the error record in real time;
and the storage unit receives the error record transmitted by the processor and stores the error record in real time.
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Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104935884A (en) * 2015-06-05 2015-09-23 重庆智韬信息技术中心 Method for intelligently monitoring class attendance order of students
CN107393362A (en) * 2017-09-21 2017-11-24 淄博职业学院 A kind of computer application teaching and training system
CN108924487A (en) * 2018-06-29 2018-11-30 合肥霞康电子商务有限公司 A kind of remote monitoring system based on online teaching
CN109685043A (en) * 2019-02-10 2019-04-26 北京工商大学 University student classroom real-time monitoring system for state based on classroom multimedia equipment
CN111062844A (en) * 2020-03-17 2020-04-24 浙江正元智慧科技股份有限公司 Intelligent control system for smart campus
CN111091733A (en) * 2020-03-19 2020-05-01 浙江正元智慧科技股份有限公司 Auxiliary detection system for real-time teaching achievements of teachers
CN111091484A (en) * 2020-03-19 2020-05-01 浙江正元智慧科技股份有限公司 Student learning behavior analysis system based on big data
CN111626647A (en) * 2020-07-14 2020-09-04 深圳峰诚志合信息科技有限公司 Classroom teaching evaluation system based on facial expression recognition
CN111709641A (en) * 2020-06-15 2020-09-25 南京倍时佳信息科技有限公司 Enterprise internal technology training remote learning system based on internet technology
CN112437135A (en) * 2020-11-11 2021-03-02 聊城大学 English teaching system and using method thereof

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104935884A (en) * 2015-06-05 2015-09-23 重庆智韬信息技术中心 Method for intelligently monitoring class attendance order of students
CN107393362A (en) * 2017-09-21 2017-11-24 淄博职业学院 A kind of computer application teaching and training system
CN108924487A (en) * 2018-06-29 2018-11-30 合肥霞康电子商务有限公司 A kind of remote monitoring system based on online teaching
CN109685043A (en) * 2019-02-10 2019-04-26 北京工商大学 University student classroom real-time monitoring system for state based on classroom multimedia equipment
CN111062844A (en) * 2020-03-17 2020-04-24 浙江正元智慧科技股份有限公司 Intelligent control system for smart campus
CN111091733A (en) * 2020-03-19 2020-05-01 浙江正元智慧科技股份有限公司 Auxiliary detection system for real-time teaching achievements of teachers
CN111091484A (en) * 2020-03-19 2020-05-01 浙江正元智慧科技股份有限公司 Student learning behavior analysis system based on big data
CN111709641A (en) * 2020-06-15 2020-09-25 南京倍时佳信息科技有限公司 Enterprise internal technology training remote learning system based on internet technology
CN111626647A (en) * 2020-07-14 2020-09-04 深圳峰诚志合信息科技有限公司 Classroom teaching evaluation system based on facial expression recognition
CN112437135A (en) * 2020-11-11 2021-03-02 聊城大学 English teaching system and using method thereof

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
于明学等: "基于3D卷积双路神经网络的考场行为异常识别", 《北京电子科技学院学报》 *
王思聪等: "基于多尺度分块方向类模型的群体异常行为检测", 《计算机与数字工程》 *

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