Human-computer interaction real-time switching system

Abstract

The invention relates to a human-computer interaction real-time switching system which comprises a content analysis mechanism, a state switching mechanism, a pattern storage device, a block detection device, an instruction triggering device and a dynamic operation device. According to the invention, the operation of the man-machine interaction system can be better guaranteed.

Description

Technical Field

[0001] The present invention relates to the field of human-computer interaction, and in particular to a human-computer interaction real-time switching system. Background Art

[0002] When the human-computer interaction system is in use, it is necessary to continuously switch interfaces according to different functions. For example, the prior art CN118982558A discloses a method for tracking an operator, which belongs to the field of human-computer interaction. The method comprises: obtaining a first image; if there is a first gesture in the first image, obtaining operator information and operator information according to the operator corresponding to the first gesture in the first image, the operator information includes the position of the operator, and the operator information includes the head position and shoulder position of the operator to which the operator belongs. Afterwards, a second image is obtained, the position of each user hand in one or more user hands in the second image is determined, the target wrist position in the second image is determined according to the operator information, the operator in the second image is determined according to the position of each user hand in one or more user hands in the second image and the target wrist position, and the operator information and the operator information are updated accordingly.

[0003] In addition, the prior art CN103176684A proposes a device for a multi-area switching interface, including: a special effect adding module, which is used to establish a special effect information list using multiple set special effect areas, special effect styles and special effect frames of each special effect area, and provide a special effect information list for a special effect calculation module; a special effect control module, which is used to notify the special effect calculation module to calculate the switching process screen when receiving an operation instruction for switching the interface; and a special effect calculation module, which is used to calculate the switching process screen to be displayed in each special effect area using the special effect information list in the special effect adding module after receiving a notification of calculating the switching process screen from the special effect control module. The problem solved by the present invention is to make the transition more natural and the style richer when the interface is switched. Summary of the invention

[0004] In order to solve the technical problems in the related field, the present invention provides a human-computer interaction real-time switching system, the system comprising: A content analysis mechanism, configured to receive a live broadcast collection picture, perform a human face presence analysis on the live broadcast collection picture, and send a first analysis signal when it is analyzed that there are more than two human faces in the live broadcast collection picture, and send a second analysis signal when it is analyzed that there is a single human face or no human face in the live broadcast collection picture; A state switching mechanism, connected to the content analysis mechanism, for switching the layer-by-layer operation mechanism from a dormant state to an operating state when receiving a first analysis signal, and for switching the layer-by-layer operation mechanism from an operating state to a dormant state when receiving a second analysis signal; A pattern storage device, used to store the standard body shape pattern corresponding to the anchor bound to the live broadcast room to provide basic data for subsequent detection of the anchor bound to the live broadcast room; A block detection device is connected to the state switching mechanism, the content analysis mechanism and the pattern storage device respectively, and is used to detect image blocks with the same shape as the standard body shape pattern from the live broadcast collection picture according to the standard body shape pattern in the working state, and perform a process of normalizing the image blocks with the size of the standard body shape pattern to obtain corresponding typical image blocks, and the typical image blocks are consistent with the size of the standard body shape pattern; an instruction triggering device, connected to the block detection device, for obtaining pixel values ​​corresponding to pixel points of the typical image block as first-category pixel values, obtaining pixel values ​​corresponding to pixel points of the standard body shape pattern as first-category pixel values, performing pixel-by-pixel difference processing on the typical image block and the standard object pattern to obtain a difference processing picture, counting the total number of pixel points with a pixel value of 0 in the interpolation processing picture as a reference statistical number, issuing an anchor detection instruction when the reference statistical number exceeds a limit, and issuing an anchor non-detection instruction when the reference statistical value does not exceed a limit; A dynamic operation device connected to the instruction triggering device, for performing special effect processing on the typical image blocks when receiving the anchor detection instruction, and not performing special effect processing on the image blocks other than the typical image blocks in the interpolation processing picture, and at the same time, using the position information of the typical image blocks in the interpolation processing picture as the focus area of ​​the next frame of live broadcast collection picture for the focus processing of the next frame of live broadcast collection picture; Among them, the dynamic operation device is also used to not perform special effects processing on the entire interpolation processing picture when receiving the host's non-detection instruction, and at the same time use the position information of the human object with the shallowest depth of field value in the interpolation processing picture in the interpolation processing picture as the focus area of ​​the next frame of live broadcast collection picture for the focus processing of the next frame of live broadcast collection picture.

[0005] The technical solution of the present invention can perform special effects processing on the image block where the anchor is located when it is detected that there is an anchor bound to the live broadcast room in the current live broadcast picture, and no special effects processing is performed on the image blocks other than the image block where the anchor is located. At the same time, the position information of the image block where the anchor is located is used as the focus area of ​​the next frame of the live broadcast picture for the focus processing of the next frame of the live broadcast picture, thereby reducing the amount of special effects calculation while ensuring the effect of the live broadcast special effects, and avoiding frequent movement of the focus area during the live broadcast process, which may cause discomfort to the live broadcast users in viewing the picture. BRIEF DESCRIPTION OF THE DRAWINGS

[0006] The embodiments of the present invention will be described below with reference to the accompanying drawings.

[0007] Figure 1 Schematic diagram of the internal structure of a human-computer interaction real-time switching system according to implementation A of the present invention.

[0008] Figure 2 Schematic diagram of the internal structure of a human-computer interaction real-time switching system according to implementation B of the present invention.

[0009] Figure 3 Schematic diagram of the internal structure of a human-computer interaction real-time switching system according to implementation scheme C of the present invention. DETAILED DESCRIPTION

[0010] Live video, or short video, refers to video content played on various new media platforms, suitable for viewing on the go and in a short leisure state, and pushed frequently, ranging from a few seconds to a few minutes. The content integrates themes such as skill sharing, humor, fashion trends, social hot spots, street interviews, public welfare education, advertising creativity, and commercial customization. Because the content is short, it can be a separate film or a series of columns.

[0011] However, during the live broadcast, the same special effects are generally applied to all people appearing in the live broadcast room, which makes it impossible to highlight the anchor bound to the live broadcast room. At the same time, when focusing on and capturing the picture in the live broadcast room, since the person at the frontmost stage, that is, the shallowest depth of field, is constantly changing, focusing on the person at the frontmost stage, that is, the shallowest depth of field, will cause the focus area of ​​the live broadcast picture to move frequently, causing discomfort to the live broadcast users.

[0012] The implementation scheme of the human-computer interaction real-time switching system of the present invention will be described in detail below with reference to the accompanying drawings.

[0013] Implementation A Figure 1 This is a schematic diagram of the internal structure of a human-computer interaction real-time switching system according to Embodiment A of the present invention, wherein the system comprises: A content analysis mechanism, configured to receive a live broadcast collection picture, perform a human face presence analysis on the live broadcast collection picture, and send a first analysis signal when it is analyzed that there are more than two human faces in the live broadcast collection picture, and send a second analysis signal when it is analyzed that there is a single human face or no human face in the live broadcast collection picture; For example, a content analysis mechanism is used to receive a live broadcast collection picture, perform a human face presence analysis on the live broadcast collection picture, and send a first analysis signal when it is analyzed that there are more than two human faces in the live broadcast collection picture, and send a second analysis signal when it is analyzed that there is a single human face or no human face in the live broadcast collection picture. The content analysis mechanism includes a picture receiving unit, an analysis processing unit, and a signal triggering unit; A state switching mechanism, connected to the content analysis mechanism, for switching the layer-by-layer operation mechanism from a dormant state to an operating state when receiving a first analysis signal, and for switching the layer-by-layer operation mechanism from an operating state to a dormant state when receiving a second analysis signal; A pattern storage device, used to store the standard body shape pattern corresponding to the anchor bound to the live broadcast room to provide basic data for subsequent detection of the anchor bound to the live broadcast room; A block detection device is connected to the state switching mechanism, the content analysis mechanism and the pattern storage device respectively, and is used to detect image blocks with the same shape as the standard body shape pattern from the live broadcast collection picture according to the standard body shape pattern in the working state, and perform a process of normalizing the image blocks with the size of the standard body shape pattern to obtain corresponding typical image blocks, and the typical image blocks are consistent with the size of the standard body shape pattern; an instruction triggering device, connected to the block detection device, for obtaining pixel values ​​corresponding to pixel points of the typical image block as first-category pixel values, obtaining pixel values ​​corresponding to pixel points of the standard body shape pattern as first-category pixel values, performing pixel-by-pixel difference processing on the typical image block and the standard object pattern to obtain a difference processing picture, counting the total number of pixel points with a pixel value of 0 in the interpolation processing picture as a reference statistical number, issuing an anchor detection instruction when the reference statistical number exceeds a limit, and issuing an anchor non-detection instruction when the reference statistical value does not exceed a limit; A dynamic operation device connected to the instruction triggering device, for performing special effect processing on the typical image blocks when receiving the anchor detection instruction, and not performing special effect processing on the image blocks other than the typical image blocks in the interpolation processing picture, and at the same time, using the position information of the typical image blocks in the interpolation processing picture as the focus area of ​​the next frame of live broadcast collection picture for the focus processing of the next frame of live broadcast collection picture; The dynamic operation device is further used for not performing special effect processing on the entire interpolation processing picture when receiving the host's non-detection instruction, and at the same time, according to the position information of the human object with the shallowest depth of field value in the interpolation processing picture, taking the focus area of ​​the next frame of live broadcast collection picture as the focus area for the next frame of live broadcast collection picture; Among them, receiving a live broadcast acquisition picture, performing a human face presence analysis on the live broadcast acquisition picture, and sending a first analysis signal when it is analyzed that there are more than two human faces in the live broadcast acquisition picture, and sending a second analysis signal when it is analyzed that there is a single human face or no human face in the live broadcast acquisition picture, including: performing a human face presence analysis on the live broadcast acquisition picture based on a reference facial pattern corresponding to the human face.

[0014] Implementation Plan B Figure 2 Schematic diagram of the internal structure of a human-computer interaction real-time switching system according to implementation B of the present invention.

[0015] The human-computer interaction real-time switching system shown in embodiment B may include the following components: A content analysis mechanism, configured to receive a live broadcast collection picture, perform a human face presence analysis on the live broadcast collection picture, and send a first analysis signal when it is analyzed that there are more than two human faces in the live broadcast collection picture, and send a second analysis signal when it is analyzed that there is a single human face or no human face in the live broadcast collection picture; A state switching mechanism, connected to the content analysis mechanism, for switching the layer-by-layer operation mechanism from a dormant state to an operating state when receiving a first analysis signal, and for switching the layer-by-layer operation mechanism from an operating state to a dormant state when receiving a second analysis signal; A pattern storage device, used to store the standard body shape pattern corresponding to the anchor bound to the live broadcast room to provide basic data for subsequent detection of the anchor bound to the live broadcast room; A block detection device is connected to the state switching mechanism, the content analysis mechanism and the pattern storage device respectively, and is used to detect image blocks with the same shape as the standard body shape pattern from the live broadcast collection picture according to the standard body shape pattern in the working state, and perform a process of normalizing the image blocks with the size of the standard body shape pattern to obtain corresponding typical image blocks, and the typical image blocks are consistent with the size of the standard body shape pattern; an instruction triggering device, connected to the block detection device, for obtaining pixel values ​​corresponding to pixel points of the typical image block as first-category pixel values, obtaining pixel values ​​corresponding to pixel points of the standard body shape pattern as first-category pixel values, performing pixel-by-pixel difference processing on the typical image block and the standard object pattern to obtain a difference processing picture, counting the total number of pixel points with a pixel value of 0 in the interpolation processing picture as a reference statistical number, issuing an anchor detection instruction when the reference statistical number exceeds a limit, and issuing an anchor non-detection instruction when the reference statistical value does not exceed a limit; A dynamic operation device connected to the instruction triggering device, for performing special effect processing on the typical image blocks when receiving the anchor detection instruction, and not performing special effect processing on the image blocks other than the typical image blocks in the interpolation processing picture, and at the same time, using the position information of the typical image blocks in the interpolation processing picture as the focus area of ​​the next frame of live broadcast collection picture for the focus processing of the next frame of live broadcast collection picture; A thickness sensor device is connected to the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device, respectively, and is used to measure the current real-time thickness values ​​of the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device respectively; Wherein, the thickness sensor device is respectively connected with the state switching mechanism, the block detection device, the command trigger device and the dynamic operation device, and is used to respectively measure the current real-time thickness values ​​of the state switching mechanism, the block detection device, the command trigger device and the dynamic operation device, including: the thickness sensor device includes a plurality of thickness measurement units, which are respectively connected with the state switching mechanism, the block detection device, the command trigger device and the dynamic operation device, so as to complete the measurement of the current real-time thickness values ​​of the state switching mechanism, the block detection device, the command trigger device and the dynamic operation device; Wherein, the thickness sensor device comprises a plurality of thickness measuring units, which are used to be respectively connected with the state switching mechanism, the block detection device, the command trigger device and the dynamic operation device to complete the respective measurement of the current real-time thickness values ​​of the state switching mechanism, the block detection device, the command trigger device and the dynamic operation device, including: the plurality of thickness measuring units are a plurality of thickness sensors, which are used to be respectively connected with the state switching mechanism, the block detection device, the command trigger device and the dynamic operation device to complete the respective measurement of the current real-time thickness values ​​of the state switching mechanism, the block detection device, the command trigger device and the dynamic operation device; Wherein, the plurality of thickness measuring units are a plurality of thickness sensors, which are used to be connected to the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device respectively, so as to complete the respective measurement of the current real-time thickness values ​​of the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device respectively, including: the plurality of thickness sensors have the same structure; Among them, the multiple thickness measuring units are multiple thickness sensors, which are used to be connected to the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device respectively, so as to complete the measurement of the current real-time thickness values ​​of the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device respectively, and also include: the multiple thickness sensors have the same thickness measurement upper limit value and thickness measurement lower limit value.

[0016] Implementation Plan C Figure 3 Schematic diagram of the internal structure of a human-computer interaction real-time switching system according to implementation scheme C of the present invention.

[0017] The human-computer interaction real-time switching system shown in embodiment C may include the following components: A content analysis mechanism, configured to receive a live broadcast collection picture, perform a human face presence analysis on the live broadcast collection picture, and send a first analysis signal when it is analyzed that there are more than two human faces in the live broadcast collection picture, and send a second analysis signal when it is analyzed that there is a single human face or no human face in the live broadcast collection picture; A state switching mechanism, connected to the content analysis mechanism, for switching the layer-by-layer operation mechanism from a dormant state to an operating state when receiving a first analysis signal, and for switching the layer-by-layer operation mechanism from an operating state to a dormant state when receiving a second analysis signal; A pattern storage device, used to store the standard body shape pattern corresponding to the anchor bound to the live broadcast room to provide basic data for subsequent detection of the anchor bound to the live broadcast room; A block detection device is connected to the state switching mechanism, the content analysis mechanism and the pattern storage device respectively, and is used to detect image blocks with the same shape as the standard body shape pattern from the live broadcast collection picture according to the standard body shape pattern in the working state, and perform a process of normalizing the image blocks with the size of the standard body shape pattern to obtain corresponding typical image blocks, and the typical image blocks are consistent with the size of the standard body shape pattern; an instruction triggering device, connected to the block detection device, for obtaining pixel values ​​corresponding to pixel points of the typical image block as first-category pixel values, obtaining pixel values ​​corresponding to pixel points of the standard body shape pattern as first-category pixel values, performing pixel-by-pixel difference processing on the typical image block and the standard object pattern to obtain a difference processing picture, counting the total number of pixel points with a pixel value of 0 in the interpolation processing picture as a reference statistical number, issuing an anchor detection instruction when the reference statistical number exceeds a limit, and issuing an anchor non-detection instruction when the reference statistical value does not exceed a limit; A dynamic operation device connected to the instruction triggering device, for performing special effect processing on the typical image blocks when receiving the anchor detection instruction, and not performing special effect processing on the image blocks other than the typical image blocks in the interpolation processing picture, and at the same time, using the position information of the typical image blocks in the interpolation processing picture as the focus area of ​​the next frame of live broadcast collection picture for the focus processing of the next frame of live broadcast collection picture; A temporary value storage mechanism, connected to the state switching mechanism, the block detection device, the instruction trigger device and the plurality of thickness measurement units of the dynamic operation device, respectively, for temporarily storing the input data and output data of the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device respectively; Wherein, the temporary value storage mechanism is respectively connected to the state switching mechanism, the block detection device, the instruction trigger device and the plurality of thickness measurement units of the dynamic operation device, and is used to temporarily store the input data and output data of the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device respectively, including: the temporary value storage mechanism is a FLASH flash memory; Among them, the numerical temporary storage mechanism is respectively connected to the state switching mechanism, the block detection device, the instruction trigger device and multiple thickness measurement units of the dynamic operation device, and is used to temporarily store the input data and output data of the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device respectively, including: the numerical temporary storage mechanism is an MMC storage chip.

[0018] In addition, in the human-computer interaction real-time switching system, a live broadcast acquisition picture is received, a human face presence analysis is performed on the live broadcast acquisition picture, and a first analysis signal is issued when it is analyzed that there are more than two human faces in the live broadcast acquisition picture, and a second analysis signal is issued when it is analyzed that there is a single human face or no human face in the live broadcast acquisition picture, and the data corresponding to the reference facial pattern of the human face is stored in the JPGE storage format.

[0019] It can be seen that the present invention has at least the following outstanding substantive features: (1) When it is detected that there is an anchor bound to the live broadcast room in the current live broadcast screen, special effects processing is performed on the image block where the anchor is located, and special effects processing is not performed on image blocks other than the image block where the anchor is located. At the same time, the position information of the image block where the anchor is located is used as the focus area of ​​the next frame of the live broadcast screen for the focus processing of the next frame of the live broadcast screen, thereby reducing the amount of special effects calculation while ensuring the effect of the live broadcast special effects, and avoiding frequent movement of the focus area during the live broadcast process, which may cause discomfort to the live broadcast users; (2) First, detect image blocks with the same shape as the standard body pattern from the live broadcast image, and then normalize the size of the image blocks to obtain typical image blocks; (3) Perform pixel-by-pixel difference processing on typical image blocks and standard body shape patterns to obtain a difference processing picture. Based on the total number of pixels with a pixel value of 0 in the difference processing picture, it is determined whether the object is successfully detected, thereby completing the high-precision detection processing of the sampling targeted detection mechanism.

[0020] The human-computer interactive real-time switching system of the present invention can solve the technical problems in the prior art of large amount of special effect processing calculations for live screens and frequent movement of the focus area during live broadcasting. When it is detected that there is an anchor bound to the live broadcast room in the current live screen, special effects processing can be performed only on the image block where the anchor is located, and the position information of the image block where the anchor is located can be used as the focus area. This can reduce the amount of special effect calculations while ensuring the effect of the live special effects and avoid frequent movement of the focus area during live broadcasting.

[0021] The present invention can be implemented in various ways without departing from its main purpose and main features. Therefore, the above-mentioned embodiments are merely examples in all respects, and the scope of the present invention is as shown in the scope of the claims, and is not subject to any restrictions in the main text of the specification. Moreover, all modifications and changes within the scope of the claims are within the scope of the present invention.

Claims

1. A human-computer interaction real-time switching system, characterized in that: The system comprises: A content analysis mechanism, configured to receive a live broadcast collection picture, perform a human face presence analysis on the live broadcast collection picture, and send a first analysis signal when it is analyzed that there are more than two human faces in the live broadcast collection picture, and send a second analysis signal when it is analyzed that there is a single human face or no human face in the live broadcast collection picture; A state switching mechanism, connected to the content analysis mechanism, for switching the layer-by-layer operation mechanism from a dormant state to an operating state when receiving a first analysis signal, and for switching the layer-by-layer operation mechanism from an operating state to a dormant state when receiving a second analysis signal; A pattern storage device, used to store the standard body shape pattern corresponding to the anchor bound to the live broadcast room to provide basic data for subsequent detection of the anchor bound to the live broadcast room; A block detection device is connected to the state switching mechanism, the content analysis mechanism and the pattern storage device respectively, and is used to detect image blocks with the same shape as the standard body shape pattern from the live broadcast collection picture according to the standard body shape pattern in the working state, and perform a process of normalizing the image blocks with the size of the standard body shape pattern to obtain corresponding typical image blocks, and the typical image blocks are consistent with the size of the standard body shape pattern; an instruction triggering device, connected to the block detection device, for obtaining pixel values ​​corresponding to pixel points of the typical image block as first-category pixel values, obtaining pixel values ​​corresponding to pixel points of the standard body shape pattern as first-category pixel values, performing pixel-by-pixel difference processing on the typical image block and the standard object pattern to obtain a difference processing picture, counting the total number of pixel points with a pixel value of 0 in the interpolation processing picture as a reference statistical number, issuing an anchor detection instruction when the reference statistical number exceeds a limit, and issuing an anchor non-detection instruction when the reference statistical value does not exceed a limit; A dynamic operation device connected to the instruction triggering device, for performing special effect processing on the typical image blocks when receiving the anchor detection instruction, and not performing special effect processing on the image blocks other than the typical image blocks in the interpolation processing picture, and at the same time, using the position information of the typical image blocks in the interpolation processing picture as the focus area of ​​the next frame of live broadcast collection picture for the focus processing of the next frame of live broadcast collection picture; Among them, the dynamic operation device is also used to not perform special effects processing on the entire interpolation processing picture when receiving the host's non-detection instruction, and at the same time use the position information of the human object with the shallowest depth of field value in the interpolation processing picture in the interpolation processing picture as the focus area of ​​the next frame of live broadcast collection picture for the focus processing of the next frame of live broadcast collection picture.

2. The human-computer interaction real-time switching system according to claim 1, characterized in that: Receiving a live broadcast acquisition picture, performing a human face presence analysis on the live broadcast acquisition picture, and sending a first analysis signal when it is analyzed that there are more than two human faces in the live broadcast acquisition picture, and sending a second analysis signal when it is analyzed that there is a single human face or no human face in the live broadcast acquisition picture, including: performing a human face presence analysis on the live broadcast acquisition picture based on a reference facial pattern corresponding to the human face.

3. The human-computer interaction real-time switching system according to claim 2, characterized in that: The system further comprises: A thickness sensor device is connected to the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device, respectively, and is used to measure the current real-time thickness values ​​of the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device respectively; Among them, the thickness sensor device is respectively connected to the state switching mechanism, the block detection device, the command trigger device and the dynamic operation device, and is used to respectively measure the current real-time thickness values ​​of the state switching mechanism, the block detection device, the command trigger device and the dynamic operation device. The thickness sensor device includes multiple thickness measurement units, which are respectively connected to the state switching mechanism, the block detection device, the command trigger device and the dynamic operation device to complete the measurement of the current real-time thickness values ​​of the state switching mechanism, the block detection device, the command trigger device and the dynamic operation device.

4. The human-computer interaction real-time switching system according to claim 3, characterized in that: The thickness sensor device includes a plurality of thickness measuring units, which are used to be respectively connected to the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device to complete the respective measurement of the current real-time thickness values ​​of the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device. The plurality of thickness measuring units are a plurality of thickness sensors, which are used to be respectively connected to the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device to complete the respective measurement of the current real-time thickness values ​​of the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device.

5. The human-computer interaction real-time switching system according to claim 4, characterized in that: The multiple thickness measuring units are multiple thickness sensors, which are used to be connected to the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device respectively, so as to complete the measurement of the current real-time thickness values ​​of the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device respectively, including: the structures of the multiple thickness sensors are the same.

6. The human-computer interaction real-time switching system according to claim 5, characterized in that: The multiple thickness measuring units are multiple thickness sensors, which are used to be connected to the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device respectively to complete the measurement of the current real-time thickness values ​​of the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device respectively, and also include: the multiple thickness sensors have the same thickness measurement upper limit value and thickness measurement lower limit value.

7. The human-computer interaction real-time switching system according to claim 2, characterized in that: The system further comprises: The value temporary storage mechanism is respectively connected to the state switching mechanism, the block detection device, the instruction trigger device and multiple thickness measurement units of the dynamic operation device, and is used to temporarily store the input data and output data of the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device respectively.

8. The human-computer interaction real-time switching system according to claim 7, characterized in that: The numerical temporary storage mechanism is respectively connected to the state switching mechanism, the block detection device, the instruction trigger device and multiple thickness measurement units of the dynamic operation device, and is used to temporarily store the input data and output data of the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device respectively. The numerical temporary storage mechanism is a FLASH flash memory.

9. The human-computer interaction real-time switching system according to claim 7, characterized in that: The numerical temporary storage mechanism is respectively connected to the state switching mechanism, the block detection device, the instruction trigger device and multiple thickness measurement units of the dynamic operation device, and is used to temporarily store the input data and output data of the state switching mechanism, the block detection device, the instruction trigger device and the dynamic operation device respectively. The numerical temporary storage mechanism is an MMC storage chip.

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