CN116704606A - Physicochemical experiment operation behavior identification method, system, device and storage medium - Google Patents
Physicochemical experiment operation behavior identification method, system, device and storage medium Download PDFInfo
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- CN116704606A CN116704606A CN202310670214.9A CN202310670214A CN116704606A CN 116704606 A CN116704606 A CN 116704606A CN 202310670214 A CN202310670214 A CN 202310670214A CN 116704606 A CN116704606 A CN 116704606A
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Abstract
The invention discloses a physicochemical experiment operation behavior identification method, a system, a device and a storage medium, wherein the method comprises the following steps: obtaining a teacher experiment operation behavior video, taking the teacher experiment operation behavior video as a standard video, obtaining a student experiment operation behavior video, extracting characteristic data of the student experiment operation behavior video and the standard video, calculating similarity between the two videos according to the characteristic data of the student experiment operation behavior video and the characteristic data of the standard video, and grading according to the similarity, so that identification of physicochemical experiment operation behaviors is realized; through obtaining mr experiment operation behavior videos and student experiment operation behavior videos, extracting characteristic data of the student experiment operation behavior videos and standard videos, calculating similarity between the two videos according to the characteristic data, and grading according to the similarity, objectivity and accuracy of grading of student physicochemical experiment operation behaviors can be greatly improved.
Description
Technical Field
The present invention relates to the field of operation behavior recognition technologies, and in particular, to a method, a system, a device, and a storage medium for recognizing operation behaviors in physicochemical experiments.
Background
The experiment operation examination of students is pushed, the practical operation of the students is enhanced, the requirement of quality education of the students in the education and teaching reform process is met, the credibility and the efficiency of the experiment operation skill examination are determined to be closely related to the quality of test questions and the scientific rationality of scoring standards, the accuracy and the reliability of the scoring method are not separated, various behaviors of the experiment operation of the students need to be accurately identified for guaranteeing the accuracy and the reliability of the experiment operation skill examination, the quantitative measurement and the evaluation of the experiment behaviors of the students are further carried out, and the prior art generally evaluates the experiment behaviors of the students through teachers, so that the evaluation result is not objective and accurate.
Disclosure of Invention
In view of the above, the invention provides a physicochemical experiment operation behavior identification method, a physicochemical experiment operation behavior identification system, a physicochemical experiment operation behavior identification device and a storage medium, which can effectively solve the defect that the evaluation result in the prior art is not objective and accurate enough.
The technical scheme of the invention is realized as follows:
a physical and chemical experiment operation behavior identification method specifically comprises the following steps:
acquiring a teacher experiment operation behavior video, and taking the teacher experiment operation behavior video as a standard video;
acquiring a student experiment operation behavior video;
extracting characteristic data of a student experiment operation behavior video and a standard video;
calculating the similarity between the two videos according to the characteristic data of the student experiment operation behavior video and the characteristic data of the standard video;
scoring is carried out according to the similarity, so that the identification of the operation behaviors of the physicochemical experiment is realized.
As a further alternative of the physicochemical experimental operation behavior recognition method, the calculating the similarity between the two videos according to the feature data of the student experimental operation behavior video and the feature data of the standard video specifically includes:
acquiring an inter-frame similarity matrix between a target frame in the student experiment operation behavior video and a target frame in the standard video according to the characteristic data;
performing nonlinear conversion on the inter-frame similarity matrix to obtain a similarity matrix between the student experiment operation behavior video and the standard video;
determining the maximum value of each column in the similarity matrix;
and obtaining the ratio between the sum of the maximum values in each column and the number of rows of the similarity matrix, and taking the ratio as the similarity between the characteristic data of the student experiment operation behavior video and the standard video.
As a further alternative of the physicochemical experimental operation behavior identification method, the scoring according to the similarity specifically includes:
determining each target action of the experimental operation behavior;
each target action is assigned with a corresponding weight;
and multiplying the similarity of each target action by the corresponding weight, and adding the multiplied results to obtain the score.
As a further alternative of the physicochemical experimental operation behavior identification method, the performing nonlinear conversion on the inter-frame similarity matrix to obtain a similarity matrix between the student experimental operation behavior video and the standard video specifically includes:
and performing nonlinear conversion on the inter-frame similarity matrix through a convolutional neural network to obtain a similarity matrix between the student experiment operation behavior video and the standard video.
A physicochemical experimental operational behavior identification system, comprising:
the first acquisition module is used for acquiring a teacher experiment operation behavior video and taking the teacher experiment operation behavior video as a standard video;
the second acquisition module is used for acquiring the student experiment operation behavior video;
the extraction module is used for extracting characteristic data of the student experiment operation behavior video and the standard video;
the computing module is used for computing the similarity between the two videos according to the characteristic data of the student experiment operation behavior video and the characteristic data of the standard video;
and the scoring module is used for scoring according to the similarity, so that the identification of the physical and chemical experiment operation behaviors is realized.
As a further alternative to the physicochemical experimental operational behavior identification system, the computing module includes:
the third acquisition module is used for acquiring an inter-frame similarity matrix between a target frame in the student experiment operation behavior video and a target frame in the standard video according to the characteristic data;
the conversion module is used for carrying out nonlinear conversion on the inter-frame similarity matrix to obtain a similarity matrix between the student experiment operation behavior video and the standard video;
a determining module, configured to determine a maximum value of each column in the similarity matrix;
and the fourth acquisition module is used for acquiring the ratio between the sum of the maximum values in each column and the number of rows of the similarity matrix, and taking the ratio as the similarity between the characteristic data of the student experiment operation behavior video and the standard video.
As a further alternative to the physicochemical experimental operational behavior identification system, the scoring module includes:
the setting module is used for determining each target action of the experimental operation behavior;
the distribution module is used for distributing corresponding weights for each target action;
and the processing module is used for multiplying the similarity of each target action and the corresponding weight, and adding the multiplied results to obtain the score.
As a further alternative scheme of the physicochemical experimental operation behavior recognition system, the conversion module adopts a convolutional neural network, and the convolutional neural network is used for performing nonlinear conversion on the inter-frame similarity matrix to obtain a similarity matrix between the student experimental operation behavior video and the standard video.
A computing device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of any of the physicochemical experimental operational behavior identification methods described above when the computer program is executed.
A computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of any one of the physicochemical experimental operational behavior identification methods described above.
The beneficial effects of the invention are as follows: through obtaining mr experiment operation behavior videos and student experiment operation behavior videos, extracting characteristic data of the student experiment operation behavior videos and standard videos, calculating similarity between the two videos according to the characteristic data, and grading according to the similarity, objectivity and accuracy of grading of student physicochemical experiment operation behaviors can be greatly improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a physicochemical experimental behavior identification method;
FIG. 2 is a schematic diagram of the physical and chemical experiment operation behavior recognition system.
Detailed Description
The following description of the technical solutions in the embodiments of the present invention will be clear and complete, and it is obvious that the described embodiments are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-2, a method for identifying operation behaviors of physicochemical experiments specifically comprises the following steps:
acquiring a teacher experiment operation behavior video, and taking the teacher experiment operation behavior video as a standard video;
acquiring a student experiment operation behavior video;
extracting characteristic data of a student experiment operation behavior video and a standard video;
calculating the similarity between the two videos according to the characteristic data of the student experiment operation behavior video and the characteristic data of the standard video;
scoring is carried out according to the similarity, so that the identification of the operation behaviors of the physicochemical experiment is realized.
In the embodiment, through acquiring the teacher experiment operation behavior video and the student experiment operation behavior video and extracting the characteristic data of the student experiment operation behavior video and the standard video, the similarity between the two videos is calculated according to the characteristic data, and then scoring is carried out according to the similarity, the objectivity and the accuracy of scoring on the student physicochemical experiment operation behavior can be greatly improved.
Preferably, the calculating the similarity between the two videos according to the feature data of the student experiment operation behavior video and the feature data of the standard video specifically includes:
acquiring an inter-frame similarity matrix between a target frame in the student experiment operation behavior video and a target frame in the standard video according to the characteristic data;
performing nonlinear conversion on the inter-frame similarity matrix to obtain a similarity matrix between the student experiment operation behavior video and the standard video;
determining the maximum value of each column in the similarity matrix;
and obtaining the ratio between the sum of the maximum values in each column and the number of rows of the similarity matrix, and taking the ratio as the similarity between the characteristic data of the student experiment operation behavior video and the standard video.
In this embodiment, when determining the similarity of the video, the similarity feature between frames of the video is considered, and the similarity feature of the granularity of the video is considered, so that the calculated similarity is more accurate, thereby further improving the objectivity and accuracy of scoring the physical and chemical experiment operation behaviors of the students, and it is required to be noted that the target frame in the video of the physical and chemical experiment operation behaviors of the students is the image frame of each target action.
Preferably, the scoring according to the similarity specifically includes:
determining each target action of the experimental operation behavior;
each target action is assigned with a corresponding weight;
and multiplying the similarity of each target action by the corresponding weight, and adding the multiplied results to obtain the score.
In this embodiment, the experimental operation behavior includes a plurality of target actions, and by determining the weight of each target action, the objectivity and accuracy of scoring the student physicochemical experimental operation behavior can be further improved.
Preferably, the nonlinear conversion is performed on the inter-frame similarity matrix to obtain a similarity matrix between the student experiment operation behavior video and the standard video, which specifically includes:
and performing nonlinear conversion on the inter-frame similarity matrix through a convolutional neural network to obtain a similarity matrix between the student experiment operation behavior video and the standard video.
A physicochemical experimental operational behavior identification system, comprising:
the first acquisition module is used for acquiring a teacher experiment operation behavior video and taking the teacher experiment operation behavior video as a standard video;
the second acquisition module is used for acquiring the student experiment operation behavior video;
the extraction module is used for extracting characteristic data of the student experiment operation behavior video and the standard video;
the computing module is used for computing the similarity between the two videos according to the characteristic data of the student experiment operation behavior video and the characteristic data of the standard video;
and the scoring module is used for scoring according to the similarity, so that the identification of the physical and chemical experiment operation behaviors is realized.
In the embodiment, through acquiring the teacher experiment operation behavior video and the student experiment operation behavior video and extracting the characteristic data of the student experiment operation behavior video and the standard video, the similarity between the two videos is calculated according to the characteristic data, and then scoring is carried out according to the similarity, the objectivity and the accuracy of scoring on the student physicochemical experiment operation behavior can be greatly improved.
Preferably, the calculation module includes:
the third acquisition module is used for acquiring an inter-frame similarity matrix between a target frame in the student experiment operation behavior video and a target frame in the standard video according to the characteristic data;
the conversion module is used for carrying out nonlinear conversion on the inter-frame similarity matrix to obtain a similarity matrix between the student experiment operation behavior video and the standard video;
a determining module, configured to determine a maximum value of each column in the similarity matrix;
and the fourth acquisition module is used for acquiring the ratio between the sum of the maximum values in each column and the number of rows of the similarity matrix, and taking the ratio as the similarity between the characteristic data of the student experiment operation behavior video and the standard video.
In this embodiment, when determining the similarity of the video, the similarity feature between frames of the video is considered, and the similarity feature of the granularity of the video is considered, so that the calculated similarity is more accurate, thereby further improving the objectivity and accuracy of scoring the physical and chemical experiment operation behaviors of the students, and it is required to be noted that the target frame in the video of the physical and chemical experiment operation behaviors of the students is the image frame of each target action.
Preferably, the scoring module includes:
the setting module is used for determining each target action of the experimental operation behavior;
the distribution module is used for distributing corresponding weights for each target action;
and the processing module is used for multiplying the similarity of each target action and the corresponding weight, and adding the multiplied results to obtain the score.
In this embodiment, the experimental operation behavior includes a plurality of target actions, and by determining the weight of each target action, the objectivity and accuracy of scoring the student physicochemical experimental operation behavior can be further improved.
Preferably, the conversion module adopts a convolutional neural network, and the convolutional neural network is used for performing nonlinear conversion on the inter-frame similarity matrix to obtain a similarity matrix between the student experiment operation behavior video and the standard video.
A computing device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of any of the physicochemical experimental operational behavior identification methods described above when the computer program is executed.
A computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of any one of the physicochemical experimental operational behavior identification methods described above.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, alternatives, and improvements that fall within the spirit and scope of the invention.
Claims (10)
1. The physical and chemical experiment operation behavior identification method is characterized by comprising the following steps of:
acquiring a teacher experiment operation behavior video, and taking the teacher experiment operation behavior video as a standard video;
acquiring a student experiment operation behavior video;
extracting characteristic data of a student experiment operation behavior video and a standard video;
calculating the similarity between the two videos according to the characteristic data of the student experiment operation behavior video and the characteristic data of the standard video;
scoring is carried out according to the similarity, so that the identification of the operation behaviors of the physicochemical experiment is realized.
2. The method for identifying physical and chemical experiment operation behaviors according to claim 1, wherein the calculating the similarity between the two videos according to the feature data of the student experiment operation behavior video and the feature data of the standard video specifically comprises:
acquiring an inter-frame similarity matrix between a target frame in the student experiment operation behavior video and a target frame in the standard video according to the characteristic data;
performing nonlinear conversion on the inter-frame similarity matrix to obtain a similarity matrix between the student experiment operation behavior video and the standard video;
determining the maximum value of each column in the similarity matrix;
and obtaining the ratio between the sum of the maximum values in each column and the number of rows of the similarity matrix, and taking the ratio as the similarity between the characteristic data of the student experiment operation behavior video and the standard video.
3. The method for identifying physical and chemical experimental operation behaviors according to claim 2, wherein scoring according to similarity comprises the following steps:
determining each target action of the experimental operation behavior;
each target action is assigned with a corresponding weight;
and multiplying the similarity of each target action by the corresponding weight, and adding the multiplied results to obtain the score.
4. The method for identifying physical and chemical experimental operation behaviors according to claim 3, wherein the nonlinear conversion is performed on the inter-frame similarity matrix to obtain a similarity matrix between the student experimental operation behavior video and the standard video, specifically comprising:
and performing nonlinear conversion on the inter-frame similarity matrix through a convolutional neural network to obtain a similarity matrix between the student experiment operation behavior video and the standard video.
5. A physicochemical experimental operational behavior recognition system, comprising:
the first acquisition module is used for acquiring a teacher experiment operation behavior video and taking the teacher experiment operation behavior video as a standard video;
the second acquisition module is used for acquiring the student experiment operation behavior video;
the extraction module is used for extracting characteristic data of the student experiment operation behavior video and the standard video;
the computing module is used for computing the similarity between the two videos according to the characteristic data of the student experiment operation behavior video and the characteristic data of the standard video;
and the scoring module is used for scoring according to the similarity, so that the identification of the physical and chemical experiment operation behaviors is realized.
6. The system for identifying the operation behavior of a physical and chemical experiment according to claim 5, wherein the calculation module comprises:
the third acquisition module is used for acquiring an inter-frame similarity matrix between a target frame in the student experiment operation behavior video and a target frame in the standard video according to the characteristic data;
the conversion module is used for carrying out nonlinear conversion on the inter-frame similarity matrix to obtain a similarity matrix between the student experiment operation behavior video and the standard video;
a determining module, configured to determine a maximum value of each column in the similarity matrix;
and the fourth acquisition module is used for acquiring the ratio between the sum of the maximum values in each column and the number of rows of the similarity matrix, and taking the ratio as the similarity between the characteristic data of the student experiment operation behavior video and the standard video.
7. The system for identifying the operation behavior of a physical and chemical experiment according to claim 6, wherein the scoring module comprises:
the setting module is used for determining each target action of the experimental operation behavior;
the distribution module is used for distributing corresponding weights for each target action;
and the processing module is used for multiplying the similarity of each target action and the corresponding weight, and adding the multiplied results to obtain the score.
8. The system for identifying physical and chemical experimental operation behaviors according to claim 7, wherein the conversion module adopts a convolutional neural network, and the convolutional neural network is used for performing nonlinear conversion on the inter-frame similarity matrix to obtain a similarity matrix between the student experimental operation behavior video and the standard video.
9. A computing device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the physicochemical experimental operational behavior identification method of any one of claims 1-4 when the computer program is executed.
10. A computer-readable storage medium, characterized in that the storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the physicochemical experimental operational behavior identification method of any of claims 1-4.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117726977A (en) * | 2024-02-07 | 2024-03-19 | 南京百伦斯智能科技有限公司 | Experimental operation key node scoring method and system based on DCNN |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117726977A (en) * | 2024-02-07 | 2024-03-19 | 南京百伦斯智能科技有限公司 | Experimental operation key node scoring method and system based on DCNN |
| CN117726977B (en) * | 2024-02-07 | 2024-04-12 | 南京百伦斯智能科技有限公司 | Experimental operation key node scoring method and system based on DCNN |
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