Lesson analysis system, lesson analysis method, and program

Abstract

To grasp a situation of inter-desk guidance in which a teacher approaches the side of a student to perform guidance.SOLUTION: An information processor 10 of a lesson analysis system 1 repeatedly detects a position of a teacher (predetermined person) T in a classroom CR. Based on the result of the detection, the information processor 10 tallies the staying time of the teacher T within the period from the start of a lesson to the end of the lesson (predetermined period) for each of a plurality of areas (front region R1, rear region R2) in the classroom CR. The information processor 10 presents a class situation (a ratio of instruction between desks) based on the result of the totalization.SELECTED DRAWING: Figure 5

Description

[Technical field]

[0001] The present invention relates to a lesson analysis system, a lesson analysis method, and a program. [Background technology]

[0002] Conventionally, a lecture evaluation system has been disclosed that evaluates the contents and structure of a lecture, the posture and movements of a lecturer, and the like, based on video and audio of the lecture given by the lecturer using a lecture text (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2022-123673 A Summary of the Invention [Problem to be solved by the invention]

[0004] In the lecture evaluation system disclosed in the above Patent Document 1, when evaluating the movements of the lecturer, it is analyzed whether the lecturer moves around appropriately in front of the blackboard or on the podium while lecturing. However, it is not analyzed whether the lecturer approaches the students to give instruction. Therefore, the above lecture evaluation system cannot grasp the situation of desk-to-desk instruction where the lecturer approaches the students to give instruction.

[0005] The present invention has been made in consideration of the above-mentioned problems, and aims to provide a lesson analysis system, a lesson analysis method, and a program that can grasp the situation of desk-to-desk instruction. [Means for solving the problem]

[0006] In order to solve the above problems, the teaching analysis system according to the present invention comprises: a position detection means for repeatedly detecting the position of a predetermined person in a classroom; a counting means for counting the frequency or duration of stay of the specific person within a specific period of time for each of a plurality of areas in the classroom based on the result of the detection by the position detection means; a presentation means for presenting a lesson status based on the result of the compilation by the compilation means; The present invention is characterized by comprising:

[0007] In order to solve the above problems, a teaching analysis method according to the present invention includes: A lesson analysis method executed by a computer of an information processing device, comprising: a position detection step of repeatedly detecting a position of a predetermined person in a classroom; a counting step of counting the frequency or duration of stay of the specific person within a specific period of time for each of a plurality of areas in the classroom based on the result of the detection by the position detection step; a presentation step of presenting a lesson situation based on the result of the compilation by the compilation step; The present invention is characterized by comprising:

[0008] In order to solve the above problems, the program according to the present invention comprises: The computer of the information processing device, a position detection means for repeatedly detecting the position of a predetermined person in a classroom; a counting means for counting the frequency or duration of stay of the predetermined person within a predetermined period for each of a plurality of areas in the classroom based on the result of the detection by the position detection means; a presentation means for presenting a lesson status based on the result of the compilation by the compilation means; The present invention is characterized in that it functions as a Effect of the Invention

[0009] According to the present invention, the situation of desk-to-desk guidance can be grasped. [Brief description of the drawings]

[0010] [Figure 1] FIG. 1 is a schematic diagram showing a lesson analysis system. [Diagram 2] FIG. 2 is a block diagram showing a functional configuration of the information processing device. [Diagram 3] FIG. 2 is a block diagram showing the functional configuration of the imaging device. [Figure 4] FIG. 2 is a block diagram showing a functional configuration of a terminal device. [Diagram 5] 13 is a flowchart showing a control procedure for lesson analysis processing. [Figure 6] FIG. 1 is an overhead view showing multiple areas within a classroom. [Figure 7] FIG. 1 is an overhead view showing multiple areas within a classroom. [Figure 8] FIG. 1 is an overhead view showing multiple areas within a classroom. [Figure 9] FIG. 1 is an overhead view showing multiple areas within a classroom. [Figure 10] FIG. 1 is an overhead view showing multiple areas within a classroom. [Figure 11] FIG. 13 is a diagram showing an example of an analysis result screen. [Figure 12] FIG. 1 is an overhead view showing multiple areas within a classroom. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] Hereinafter, an embodiment of the present invention will be described with reference to the drawings, however, the scope of the present invention is not limited to the illustrated examples.

[0012] <Class analysis system configuration> First, the configuration of this embodiment will be described with reference to Fig. 1. Fig. 1 is a schematic configuration diagram showing a lesson analysis system 1 of this embodiment.

[0013] As shown in Fig. 1, the lesson analysis system 1 includes an information processing device 10, a photographing device 20, and a terminal device 30. The terminal device 30 is connected to each of the information processing device 10 and the photographing device 20 so as to be able to communicate information with each other via a communication network N. Note that, although one photographing device 20 is shown in Fig. 1, the number of photographing devices 20 is not particularly limited.

[0014] The information processing device 10 is a server device on the cloud that analyzes the situation of desk-to-desk guidance using images captured by the imaging device 20, i.e., images of lesson scenes captured in a classroom CR. Here, desk-to-desk guidance means that the teacher approaches the student to grasp the student's situation and provide guidance.

[0015] The image capturing device 20 is a network camera installed in a classroom CR (see FIG. 6) in a school run by a user who has introduced the lesson analysis system 1. The image capturing device 20 is installed in a position that allows a bird's-eye view of the classroom CR (for example, on the ceiling of the classroom CR) in order to ascertain where in the classroom CR the teacher T is located.

[0016] The terminal device 30 is a terminal device (for example, a desktop PC (Personal Computer), a notebook PC, a tablet PC, etc.) used by the teacher T. The terminal device 30 may be a shared terminal used in the above-mentioned school.

[0017] The communication network N is, for example, the Internet, but may be another network such as a LAN (Local Area Network).

[0018] <Configuration of information processing device> Next, the functional configuration of the information processing device 10 will be described with reference to Fig. 2. Fig. 2 is a block diagram showing the functional configuration of the information processing device 10.

[0019] 2, the information processing device 10 includes a CPU (Central Processing Unit) 11, a RAM (Random Access Memory) 12, a storage unit 13, a communication unit 14, and a bus 15. The various units of the information processing device 10 are connected to each other via the bus 15. The information processing device 10 may further include an operation unit, a display unit, and the like that are used by an administrator of the information processing device 10, etc.

[0020] The CPU 11 is a processor that controls the operation of the information processing device 10 by reading and executing a program 131 stored in the storage unit 13 and performing various arithmetic processing. The information processing device 10 may have multiple processors (multiple CPUs, etc.), and the multiple processes performed by the CPU 11 of the present embodiment may be executed by the multiple processors. In this case, the multiple processors may be involved in a common process, or the multiple processors may independently execute different processes in parallel.

[0021] The RAM 12 provides a working memory space for the CPU 11 and stores temporary data.

[0022] The storage unit 13 is a non-transitory recording medium readable by the CPU 11 as a computer, and stores the program 131 and various data. The storage unit 13 includes a non-volatile memory such as a hard disk drive (HDD) or a solid state drive (SSD). The program 131 is stored in the storage unit 13 in the form of a computer-readable program code.

[0023] The communication unit 14 performs a communication operation in accordance with a predetermined communication standard. Through this communication operation, the communication unit 14 transmits and receives information to and from the terminal device 30 and the like via the communication network N.

[0024] <Configuration of imaging device> Next, the functional configuration of the photographing device 20 will be described with reference to Fig. 3. Fig. 3 is a block diagram showing the functional configuration of the photographing device 20.

[0025] 3, the photographing device 20 includes a CPU 21, a RAM 22, a storage unit 23, an imaging unit 24, a communication unit 25, and a bus 26. The components of the photographing device 20 are connected to each other via the bus 26.

[0026] The CPU 21 is a processor that controls the operation of the image capturing device 20 by reading and executing a program (not shown) stored in the storage unit 23 and performing various arithmetic processing.

[0027] The RAM 22 provides a working memory space for the CPU 21 and stores temporary data.

[0028] The storage unit 23 is a non-transitory recording medium readable by the CPU 21 as a computer, and stores programs and various data. The storage unit 23 includes a non-volatile memory such as a hard disk drive (HDD) or a solid state drive (SSD).

[0029] The imaging unit 24 includes an imaging lens, an imaging element that converts light incident through the imaging lens into a digital signal, and outputs image data of the captured image to the CPU 21. The imaging unit 24 captures images at a predetermined frame rate.

[0030] The communication unit 25 performs a communication operation in accordance with a predetermined communication standard. The communication unit 25 transmits and receives information to and from the terminal device 30 via the communication network N through this communication operation.

[0031] <Terminal device configuration> Next, the functional configuration of the terminal device 30 will be described with reference to Fig. 4. Fig. 4 is a block diagram showing the functional configuration of the terminal device 30.

[0032] 4, the terminal device 30 includes a CPU 31, a RAM 32, a storage unit 33, an operation unit 34, a display unit 35, a communication unit 36, and a bus 37. The components of the terminal device 30 are connected to each other via the bus 37.

[0033] The CPU 31 is a processor that controls the operation of the terminal device 30 by reading and executing a program (not shown) stored in the storage unit 33 and performing various arithmetic processing.

[0034] The RAM 32 provides a working memory space for the CPU 31 and stores temporary data.

[0035] The storage unit 33 is a non-transitory recording medium readable by the CPU 31 as a computer, and stores programs and various data. The storage unit 33 includes a non-volatile memory such as a hard disk drive (HDD) or a solid state drive (SSD).

[0036] The operation unit 34 has at least one of an input device such as a touch panel superimposed on the display screen of the display unit 35, a physical button, a pointing device such as a mouse, and a keyboard, and outputs operation information to the CPU 31 in response to an input operation on the input device.

[0037] The display unit 35 includes a display device such as a liquid crystal display, and performs various displays on the display device in accordance with display control signals from the CPU 31.

[0038] The communication unit 36 ​​performs a communication operation according to a predetermined communication standard. Through this communication operation, the communication unit 36 ​​transmits and receives information to and from the information processing device 10, the photographing device 20, and the like via the communication network N.

[0039] <Operation of the lesson analysis system> Next, a description will be given of the operation of the lesson analysis system 1. Specifically, a description will be given of an operation in which the CPU 11 of the information processing device 10 analyzes the situation of desk-to-desk instruction using images captured by the imaging device 20, with reference to Fig. 5. To realize the above operation, the CPU 11 executes a lesson analysis process shown in Fig. 5.

[0040] [Class analysis processing] FIG. 5 is a flowchart showing a control procedure of the lesson analysis process executed by the information processing device 10. As shown in FIG.

[0041] 5, when the lesson analysis process is started, first, the CPU 11 of the information processing device 10 determines whether or not video data has been acquired from the terminal device 30 via the communication unit 14 (step S1). Here, the video data refers to images (moving images) captured by the imaging device 20, and is data relating to images of a lesson scene captured in a classroom CR. The video data is, for example, transmitted to the terminal device 30 via the communication unit 25 of the imaging device 20, and then transmitted to the information processing device 10 via the communication unit 36 ​​of the terminal device 30.

[0042] In step S1, when it is determined that video data has not been acquired from the terminal device 30 (step S1; NO), the CPU 11 ends the lesson analysis process.

[0043] Furthermore, in step S1, if it is determined that video data has been acquired from the terminal device 30 (step S1; YES), the CPU 11 identifies the teacher T from the video data (step S2).

[0044] Here, a method of identifying the teacher T from the video data will be described in detail. First, the CPU 11 detects a person from an image at the start of a lesson in the video data by using a known image recognition technology. Then, the CPU 11 identifies the person who is in the front of the classroom CR among the detected people as the teacher T (see FIG. 6). Note that the above-mentioned method of identifying the teacher T is merely an example. For example, the person who is most likely to be in the front area R1 (see FIG. 6) of the classroom CR throughout the entire lesson may be identified as the teacher T. Specifically, the CPU 11 detects a person from each image in the video data from the start of the lesson to the end of the lesson, and performs person tracking to track the detected person. Note that the person tracking can be realized by using a known technology, so a detailed description will be omitted. Then, the CPU 11 identifies the person who is most likely to be in the front area R1 of the classroom CR among the people for whom person tracking has been performed as the teacher T. In addition, as another method of identifying the teacher T, for example, the person who is most likely to stand up throughout the entire lesson may be identified as the teacher T. Specifically, the CPU 11 detects a person from each image in the video data from the start of the lesson to the end of the lesson, and performs person tracking to track the detected person. Then, the CPU 11 identifies the person with the highest standing rate among the people for which person tracking has been performed as the teacher T. As another method for identifying the teacher T, for example, the person with the largest body may be identified as the teacher T. Specifically, the CPU 11 detects a person from an image at the start of the lesson in the video data. Then, the CPU 11 acquires skeletal information of the detected person, and identifies the person with the longest distance from the face to the toes as the teacher T. As another method for identifying the teacher T, for example, a person having an indicator (for example, color) that can be identified as the teacher T may be identified as the teacher T. Specifically, in such a case, the teacher T is asked to wear a bib with an indicator that can be identified as the teacher T when teaching. Then, the CPU 11 detects a person from an image at the start of the lesson in the video data.Then, the CPU 11 identifies a person having an indicator that can identify the person as teacher T among the detected people as teacher T. As another method for identifying teacher T, for example, an analyst may manually identify teacher T from an image at the start of a lesson in the video data.

[0045] Returning to the explanation of the lesson analysis process in Fig. 5, after executing the process of step S2, the CPU 11 performs person tracking targeting the teacher T identified in step S2 (step S3). This person tracking is performed using each image during the period from the start of the lesson to the end of the lesson (predetermined period). By performing this person tracking, the position of the teacher T (predetermined person) in the classroom CR is repeatedly detected.

[0046] Next, the CPU 11 derives chronological position information (movement history information) of the teacher T based on the result of the person tracking of the teacher T performed in step S3 (step S4).

[0047] Next, the CPU 11 counts up the time spent by the teacher T in each of the regions in the classroom CR during a period (predetermined period) from the start of the lesson to the end of the lesson, based on the position information of the teacher T along the time series derived in step S4 (step S5). Specifically, as shown in FIG. 6, the CPU 11 counts up the time spent by the teacher T in each of the front region R1 and the rear region R2 of the classroom CR during a period from the start of the lesson to the end of the lesson. The front region R1 is an region (first region) where the seats TA of the students ST are not provided, that is, an region located forward of the seats TA of the front row of the students ST (an region including a position where writing is performed on the blackboard BB). Therefore, the time when the teacher T stays in the front region R1 is determined as a time when desk-to-desk guidance is not being performed, because the teacher T does not approach the side of the students ST. On the other hand, the rear region R2 is an region (second region) where the seats TA of the students ST are provided, that is, an region including the seats TA of the students ST behind the front region R1. 7 to 10, the time when the teacher T stays in the rear area R2 is determined as the time when the teacher T is giving desk-to-desk guidance because the teacher T is close to the student ST. Note that the front area R1 and the rear area R2 can be identified based on area designation information that designates the front area R1 and the rear area R2, for example, that is attached to the video data.

[0048] Furthermore, the CPU 11 counts up the time that the teacher T stays in each of the rear left end area R21, the rear left middle area R22, the rear right middle area R23, and the rear right end area R24, which are a plurality of partial areas obtained by dividing the rear area R2, during the period from the start of the lesson to the end of the lesson. The rear left end area R21 is the partial area located at the left end of the plurality (four) partial areas obtained by dividing the rear area R2 into four in the left-right direction. Therefore, as shown in FIG. 7, the time that the teacher T stays in the rear left end area R21 is determined as the time that desk-to-desk guidance is being given in the rear left end area R21. The rear left middle area R22 is the partial area located second from the left of the plurality (four) partial areas obtained by dividing the rear area R2 into four in the left-right direction. Therefore, as shown in FIG. 8, the time that the teacher T stays in the rear left middle area R22 is determined as the time that desk-to-desk guidance is being given in the rear left middle area R22. The rear right middle region R23 is the third partial region from the left among the multiple (four) partial regions obtained by dividing the rear region R2 into four regions in the left-right direction. Therefore, as shown in FIG. 9, the time during which the teacher T stays in the rear right middle region R23 is determined as the time during which desk-to-desk guidance is being given in the rear right middle region R23. The rear right edge region R24 is the fourth partial region from the left (right edge) among the multiple (four) partial regions obtained by dividing the rear region R2 into four regions in the left-right direction. Therefore, as shown in FIG. 10, the time during which the teacher T stays in the rear right edge region R24 is determined as the time during which desk-to-desk guidance is being given in the rear right edge region R24. Note that the rear left edge region R21, the rear left middle region R22, the rear right middle region R23, and the rear right edge region R24 can be identified based on the above-mentioned region designation information, similar to the front region R1 and the rear region R2.

[0049] Next, the CPU 11 derives the ratio of desk-to-desk guidance and the breakdown of desk-to-desk guidance based on the time spent by the teacher T in each of the multiple regions in the classroom CR collected in step S5 (step S6). Specifically, the CPU 11 derives the ratio of time during which desk-to-desk guidance was given from the start of the lesson to the end of the lesson, that is, the ratio of time during which the teacher T stayed in the rear region R2, as the ratio of desk-to-desk guidance. The CPU 11 also derives the ratio of time during which desk-to-desk guidance was not given from the start of the lesson to the end of the lesson, that is, the ratio of time during which the teacher T stayed in the front region R1, as the ratio of desk-to-desk guidance. The CPU 11 also derives the ratio of time during which the teacher T stayed in each of the rear left edge region R21, the rear left center region R22, the rear right center region R23, and the rear right edge region R24, as the breakdown of desk-to-desk guidance, of the time during which desk-to-desk guidance was given.

[0050] Next, the CPU 11 displays the analysis result screen G indicating the ratio of desk-to-desk guidance and the details of the desk-to-desk guidance (class situation) derived in step S6 on the display unit 35 of the terminal device 30 (step S7). Then, the CPU 11 ends the class analysis process.

[0051] FIG. 11 is a diagram showing an example of the analysis result screen G. As shown in FIG. 11, the analysis result screen G displays a first pie chart G1 showing the ratio of desk spacing guidance and a second pie chart G2 showing the breakdown of desk spacing guidance. In the example of FIG. 11, the first pie chart G1 shows that the ratio of the time during which desk spacing guidance was given throughout the entire lesson was "22.4%", and the ratio of the time during which desk spacing guidance was not given was "77.6%". In addition, in the example of FIG. 11, the second pie chart G2 shows that the ratio of the time during which desk spacing guidance was given in the rear left end region R21 among the times during which desk spacing guidance was given was "8.8%". In addition, the second pie chart G2 shows that the ratio of the time during which desk spacing guidance was given in the rear left center region R22 among the times during which desk spacing guidance was given was "34.3%". In addition, the second pie chart G2 shows that the ratio of the time during which desk spacing guidance was given in the rear right center region R23 among the times during which desk spacing guidance was given was "42.4%". The second pie chart G2 also shows that the percentage of time that desk spacing guidance was given in the rear right end region R24 to the total time that desk spacing guidance was given is "14.4%." In this way, by displaying the first pie chart G1 and the second pie chart G2 on the analysis result screen G, it is possible to provide awareness regarding desk spacing guidance, such as whether desk spacing guidance is being given sufficiently or whether there is a bias in the desk spacing guidance.

[0052] <Effects> As described above, the information processing device 10 of the lesson analysis system 1 repeatedly detects the position of the teacher (predetermined person) T in the classroom CR. Based on the results of the above detection, the information processing device 10 counts up the time the teacher T stays in each of a plurality of areas (front area R1, rear area R2) in the classroom CR during a period (predetermined period) from the start of the lesson to the end of the lesson. Based on the results of the above counting, the information processing device 10 presents the lesson situation (ratio of desk-to-desk instruction). Therefore, according to the lesson analysis system 1, it is possible to grasp the situation of desk-to-desk instruction in which the teacher T approaches the student ST to give instruction during a lesson held in the classroom CR.

[0053] Furthermore, the information processing device 10 identifies the teacher T based on the captured image (a captured image of a lesson scene in the classroom CR) captured by the imaging device 20. Therefore, the lesson analysis system 1 can easily and smoothly tally up the time spent by the teacher T in each of a plurality of areas in the classroom CR.

[0054] Furthermore, for the rear region R2, the information processing device 10 counts up the time spent by the teacher T in each of a plurality of partial regions (rear left edge region R21, rear left center region R22, rear right center region R23, and rear right edge region R24) during the period from the start of the lesson to the end of the lesson. Therefore, the lesson analysis system 1 makes it possible to grasp the proportion of time during which desk-spacing guidance was given in each of the rear left edge region R21, rear left center region R22, rear right center region R23, and rear right edge region R24 during the lesson held in the classroom CR (the breakdown of desk-spacing guidance).

[0055] <Other> The above-described embodiment is merely an example of the lesson analysis system, lesson analysis method, and program according to the present invention, and the present invention is not limited to this. For example, in the above embodiment, in step S5 of the lesson analysis process shown in Fig. 5, the time spent by teacher T in each of a plurality of areas in the classroom CR during the period from the start of the lesson to the end of the lesson is tallied, but this time spent by teacher T that is the subject of this tally is merely an example. For example, the frequency of teacher T's stay in each of a plurality of areas in the classroom CR may be tallied.

[0056] 5, it is determined whether or not video data has been acquired from the terminal device 30. However, the acquisition route of video data in the information processing device 10 is not limited to the route from the terminal device 30. For example, the information processing device 10 may be configured to acquire video data directly from the imaging device 20.

[0057] In the above embodiment, the rear area R2 is divided into four partial areas, the rear left end area R21, the rear left center area R22, the rear right center area R23, and the rear right end area R24, but this division method is merely an example. For example, the rear area R2 may be divided into four in the left-right direction as in the above embodiment, and further divided into two in the front-rear direction, resulting in a total of eight partial areas. The rear area R2 may also be divided into a total of 16 partial areas corresponding to the seats TA of each student ST. In this case, the analysis result screen G displays a second pie chart G2 showing the breakdown of desk-to-desk guidance, thereby making it possible to grasp the proportion of desk-to-desk guidance given to each student ST.

[0058] In addition, in the above embodiment, a first pie graph G1 indicating the ratio of desk-to-desk guidance is displayed on the analysis result screen G (see FIG. 11), but the ratio of desk-to-desk guidance may also be displayed, for example, by a bar graph (stacked bar graph) or a table.

[0059] In addition, in the above embodiment, a second pie graph G2 showing the breakdown of desk-to-desk guidance is displayed on the analysis result screen G (see FIG. 11), but the breakdown of desk-to-desk guidance may also be shown, for example, by a bar graph (stacked bar graph) or a table.

[0060] In addition, in the above embodiment, the analysis result screen G (see FIG. 11) may display, for example, a graph (e.g., a pie chart) or a table showing the percentage of time that teacher T spent in each of the forward region R1, the rear left extreme region R21, the rear left middle region R22, the rear right middle region R23, and the rear right extreme region R24.

[0061] In the above embodiment, the method of identifying the teacher T from the video data has been described, but as another method, for example, the teacher T carrying a heating element may be identified by photographing the teacher T with the imaging device 20 having a thermography function. In such a case, the video data is assumed to be accompanied by a thermal image showing the temperature distribution in the classroom CR.

[0062] In the above embodiment, in step S5 of the lesson analysis process shown in FIG. 5, the time spent by the teacher T in each of the front area R1 and the rear area R2 is collected, but the areas to be collected (the front area R1 and the rear area R2) are merely an example. The area to be collected is appropriately set according to the arrangement of the seats TA of each student ST. For example, as shown in FIG. 12, when the seats TA of each student ST are arranged so as to surround the teacher T who is in the center of the classroom CR, the time spent by the teacher T in each of the central area R101 and the surrounding area R102 is collected. The central area R101 is an area (first area) where the seats TA of the students ST are not provided, that is, a rectangular area in the center of the classroom CR. Therefore, the time spent by the teacher T in the central area R101 is determined as a time when the teacher T is not giving desk-to-desk guidance because the teacher T is not approaching the student ST. On the other hand, the surrounding area R102 is an area (second area) where the seats TA of the students ST are located, that is, an area including the seats TA of the students ST surrounding the central area R101. Therefore, the time when the teacher T stays in the surrounding area R102 is determined as the time when the desk-to-desk guidance is being performed because the teacher T is close to the student ST.

[0063] In the above embodiment, the information processing device 10 is a server device on the cloud, but it may be a server device installed in a predetermined facility (e.g., a staff room) of a school that has introduced the lesson analysis system 1. In other words, the lesson analysis system 1 can be operated as an on-premise system.

[0064] In the above description, an example has been disclosed in which the HDD or SSD of the storage unit 13 is used as a computer-readable medium for the program according to the present invention, but the present invention is not limited to this example. As other computer-readable media, information recording media such as flash memory and CD-ROM can be applied. In addition, a carrier wave is also applied to the present invention as a medium for providing data of the program according to the present invention via a communication line.

[0065] Furthermore, the detailed configurations and operations of the components of the information processing device 10, the photographing device 20, and the terminal device 30 in the above embodiment may of course be modified as appropriate without departing from the spirit of the present invention. [Explanation of symbols]

[0066] 1. Class analysis system 10. Information processing device 11 CPU 12 RAM 13 Storage section 131 Programs 14 Communications Department 20 Imaging Equipment 21 CPU 22 RAM 23 Memory section 24 Imaging unit 25 Communications Department 30 Terminal Equipment 31 CPU 32 RAM 33 Storage section 34 Control section 35 Display section 36 Communications Department

Claims

1. a position detection means for repeatedly detecting the position of a predetermined person in a classroom; a counting means for counting the frequency or duration of stay of the specific person within a specific period of time for each of a plurality of areas in the classroom based on the result of the detection by the position detection means; a presentation means for presenting a lesson status based on the result of the compilation by the compilation means; A lesson analysis system comprising:

2. The predetermined person is a teacher, an identification means for identifying a teacher as the predetermined person based on an image captured inside the classroom; 2. The lesson analysis system according to claim 1 .

3. The plurality of areas include a front area and a rear area in the classroom, The counting means counts the frequency or duration of stay of the predetermined person in each of the front area and the rear area during the predetermined period.

2. The lesson analysis system according to claim 1 .

4. The forward area is an area forward of the front row of seats for students, The rear area is an area including each seat of students behind the front area.

4. The lesson analysis system according to claim 3.

5. The front area is an area including a position where writing is performed on the board.

5. The lesson analysis system according to claim 4.

6. The rear region is composed of a plurality of partial regions obtained by dividing the rear region, The tallying means tallyes up the frequency of stay or the duration of stay of the predetermined person within the predetermined period for each of the plurality of partial regions.

4. The lesson analysis system according to claim 3.

7. The plurality of areas include a first area in which no student seats are provided and a second area in which student seats are provided, The counting means counts the frequency or duration of stay of the predetermined person in each of the first area and the second area during the predetermined period.

2. The lesson analysis system according to claim 1 .

8. The presentation means presents, as the lesson status, a stay ratio of the predetermined person in each of the plurality of areas during the predetermined period.

2. The lesson analysis system according to claim 1 .

9. A lesson analysis method executed by a computer of an information processing device, comprising: a position detection step of repeatedly detecting a position of a predetermined person in a classroom; a counting step of counting the frequency or duration of stay of the specific person within a specific period of time for each of a plurality of areas in the classroom based on the result of the detection by the position detection step; a presentation step of presenting a lesson situation based on the result of the compilation by the compilation step; A lesson analysis method comprising:

10. The computer of the information processing device, a position detection means for repeatedly detecting the position of a predetermined person in a classroom; a counting means for counting the frequency or duration of stay of the predetermined person within a predetermined period for each of a plurality of areas in the classroom based on the result of the detection by the position detection means; a presentation means for presenting a lesson status based on the result of the compilation by the compilation means; A program characterized by causing the program to function as a

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