Rural culture digital human inheriting and spreading system and method

Abstract

The invention relates to the field of rural culture inheritance, in particular to a rural culture digital human inheritance and propagation system and method, and the system comprises a culture element collection module, a digital human modeling engine, a culture knowledge graph, a cross-medium generation module and a multi-terminal interaction interface. The culture element acquisition module scans a propagation medium of traditional culture, and reflects the propagation medium in a figure modeling mode by using a digital human modeling engine; the culture knowledge graph can store the traditional culture in words and vividly express the traditional culture in a digital human speaking mode. And the cross-medium generation module can present the rural culture in diversified forms according to different scenes and user requirements. The multi-terminal interaction interface enables smooth communication between the user and the digital person. According to the invention, the regional and time limitations can be broken through, the user can conveniently contact and know abundant rural culture through terminals such as mobile equipment and the like by means of the digital human anytime and anywhere, and the spreading range and influence of the rural culture are greatly improved.

Description

Technical Field

[0001] The present invention relates to the field of rural cultural inheritance, and in particular to a rural cultural digital human inheritance and dissemination system and method. Background Art

[0002] Rural culture, including intangible cultural heritage skills, traditional folk festivals, and local dialect songs, constitutes a valuable asset of Chinese civilization. However, in the tide of modernization, these cultural forms are facing a discontinuity in inheritance and limitations in dissemination. Traditional methods of inheritance, such as oral transmission, physical exhibitions, or basic digital records (such as video recordings), often suffer from problems such as single dissemination methods, poor technical compatibility, and insufficient audience participation. In view of this, virtual reality (VR) technology has been introduced into the field of intangible cultural heritage display, aiming to provide a more vivid and interactive experience. Despite this, existing VR intangible cultural heritage display systems are mostly limited to browsing static scenes and have not yet effectively achieved the reconstruction of narrative dynamic content. Summary of the Invention

[0003] The purpose of the present invention is to address the above-mentioned problems and provide a rural cultural digital human inheritance and dissemination system. The present invention integrates multimodal acquisition, knowledge graph, real-time rendering and other technologies to achieve the above-mentioned purpose. The technical solutions adopted by the present invention are as follows:

[0004] According to one aspect of the present invention, a rural cultural digital human inheritance and dissemination system is provided, comprising:

[0005] The cultural element collection module is used to obtain multimodal data on intangible cultural heritage skills, dialect songs, and folk activities;

[0006] Digital human modeling engine, used to generate virtual images with regional cultural characteristics;

[0007] Cultural knowledge graph, used to store rural cultural elements and their relationships;

[0008] A cross-media generation module for transforming cultural content into virtual reality, augmented reality, and mixed reality;

[0009] Multi-terminal interactive interface, used to connect mobile devices, smart speakers and cultural exhibition devices.

[0010] Preferably, the cultural element collection module includes:

[0011] The intangible cultural heritage skills motion capture unit has an inertial sensor, which is used to record the dynamic data of traditional crafts. The dialect phonetic analysis sub-module establishes a mapping relationship library between acoustic features and semantics.

[0012] Preferably, the digital human modeling engine includes:

[0013] Ethnic costume material library, with digital textures of traditional ethnic costume craftsmanship;

[0014] A dynamic expression driving system and a lip-sync animation rule set adapted to dialect pronunciation.

[0015] Preferably, the cultural knowledge graph includes:

[0016] Spatiotemporal dimension labels are used to associate the origin region and historical period of cultural elements;

[0017] The inheritance relationship network visually displays the inheritance lineage of skills and interpersonal relationships.

[0018] Preferably, the system further comprises:

[0019] Cultural communication effect evaluation unit, which generates heat maps based on audience interaction data;

[0020] Adaptive learning mechanism to optimize content generation strategy based on dissemination feedback.

[0021] Preferably, the evaluation unit comprises:

[0022] Emotional computing models are used to analyze changes in users' micro-expressions when viewing cultural content;

[0023] The cultural memory test module is used to evaluate knowledge retention through question-and-answer interaction.

[0024] The present invention also provides a method for inheriting and disseminating rural cultural digital humans based on the above system, comprising the following steps:

[0025] S1. Build digital twins of cultural inheritors and preserve holographic data of their skill demonstrations;

[0026] S2. Generate interactive cultural heritage scripts and dynamically combine different cultural elements;

[0027] S3. Realize the connection of cultural scenes across time and space through digital human tour guides.

[0028] Preferably, the method further comprises:

[0029] S4. AR display of specific cultural content triggered by geolocation services;

[0030] S5. Use blockchain technology to verify ownership and preserve digital cultural assets.

[0031] The present invention also provides a computer-readable storage medium based on the above method, storing program instructions for executing the method.

[0032] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0033] 1. The rural cultural digital human inheritance and dissemination system described in this invention uses a cultural element collection module to capture multimodal data on intangible cultural heritage skills, local dialect songs, and folk activities. This multimodal data comprehensively and multi-facetedly captures the rich connotations of rural culture, providing detailed material for subsequent processing and application. Based on these analysis and evaluation results, the system can optimize the generation of cultural heritage scripts, more effectively and dynamically combine different cultural elements, and make cultural inheritance and dissemination more targeted and effective.

[0034] 2. The rural culture digital human inheritance and dissemination system described in this invention uses a digital human modeling engine to generate virtual avatars with regional cultural characteristics. These avatars can vividly and intuitively showcase rural culture, acting as authentic ambassadors of rural culture. When users interact with these digital humans with regional cultural characteristics, they gain a deeper understanding of the stories behind rural culture, enhancing their sense of identity and belonging to it, thereby opening up new and effective avenues for the inheritance and dissemination of rural culture.

[0035] 3. The rural culture digital human inheritance and dissemination system described in this invention uses a cultural knowledge graph to store rural cultural elements and their relationships. This system can systematically organize various types of rural cultural knowledge and build a complete and clear knowledge network. Based on the relationships in the knowledge graph, the digital human can provide in-depth interpretation from multiple dimensions, allowing users to fully and deeply appreciate the rich connotations and charm of rural culture, greatly enhancing the depth and breadth of rural cultural dissemination.

[0036] 4. The rural cultural digital human inheritance and dissemination system described in this invention utilizes a cross-media generation module to transform cultural content into virtual reality, augmented reality, and mixed reality. This module can present rural culture in diverse forms, tailored to different scenarios and user needs. Mixed reality further integrates real and virtual elements, enabling digital humans to interact with real scenes, providing users with an unprecedented rural cultural experience and significantly expanding the channels and effectiveness of rural cultural dissemination. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 This is a diagram of the collaborative workflow of the modules of the system of the present invention;

[0038] Figure 2 It is a flow chart of the method of the present invention.

[0039] In the accompanying drawings, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20. DETAILED DESCRIPTION

[0040] To make the objectives, technical solutions, and advantages of the present invention more clearly understood, the present invention is further described below with reference to the accompanying drawings and by way of preferred embodiments. However, it should be noted that many of the details listed in this specification are merely provided to help the reader gain a thorough understanding of one or more aspects of the present invention, and these aspects of the present invention can be practiced even without these specific details.

[0041] See also Figure 1 The present invention provides a rural cultural digital human inheritance and dissemination system. The technical solution is as follows: A rural cultural digital human inheritance and dissemination system includes: a cultural element acquisition module, a digital human modeling engine, a cultural knowledge graph, a cross-media generation module, and a multi-terminal interactive interface. The cultural element acquisition module is used to obtain multimodal data on intangible cultural heritage skills, dialect songs, and folk activities; the digital human modeling engine is used to generate virtual images with regional cultural characteristics; the cultural knowledge graph is used to store rural cultural elements and their relationships; the cross-media generation module is used to transform cultural content into virtual reality, augmented reality, and mixed reality forms; and the multi-terminal interactive interface is used to connect mobile devices, smart speakers, and cultural display devices. Figure 1In this embodiment, the dissemination of Miao ethnic clothing culture is used as an example. The cultural element acquisition module scans traditional cultural media (such as traditional clothing and ethnic ornaments) and uses the digital human modeling engine to represent these media through character modeling. The cultural knowledge graph can preserve traditional culture in text and vividly express it through the digital human's speech, allowing users to more quickly understand the culture. The cross-media generation module can present rural culture in a variety of forms based on different scenarios and user needs. Multi-terminal interactive interfaces enable smooth communication between users and digital humans. Multi-terminal interactive interfaces can include smart speakers and VR gesture capture. Users can communicate with the digital human through smart speakers, and the digital human can quickly understand the user's questions or interact with the user through VR gesture capture. For example, a user can point to a specific part of the digital human's clothing, and the digital human will identify the part based on the indicated direction and query the detailed style and historical background of the part through the cultural knowledge graph. This application can break geographical and time constraints, allowing users around the world to easily access and understand the rich rural culture anytime and anywhere through mobile devices, smart speakers, and other terminals. Through the novel interactive form of digital humans, it greatly enhances the dissemination and influence of rural culture. Furthermore, the collection and digitization of multimodal data, such as intangible cultural heritage skills and local dialect songs, can effectively prevent these precious rural cultures from disappearing due to the passage of time or discontinuities in their inheritance, effectively promoting the long-term inheritance of rural culture. Furthermore, diverse cross-media presentation formats, such as virtual reality and augmented reality, provide users with an immersive experience, stimulating public interest in and love of rural culture. This helps to unlock the economic value behind rural culture, promote the development of rural cultural industries, and contribute to rural revitalization.

[0042] Furthermore, the cultural element acquisition module includes an intangible cultural heritage skills motion capture unit and a dialect phonology analysis submodule. The intangible cultural heritage skills motion capture unit has an inertial sensor for recording dynamic data of traditional crafts. The dialect phonology analysis submodule is used to establish a mapping relationship library between acoustic features and semantics. With its high-precision inertial sensor, the intangible cultural heritage skills motion capture unit can accurately and meticulously record every dynamic data of the traditional craft from the beginning to the completion, including the subtle movements of the craftsman's hands, changes in body posture, etc., providing the most authentic and detailed materials for the subsequent digital restoration of intangible cultural heritage skills. The dialect phonology analysis submodule, through in-depth analysis of a large number of dialect samples, uses advanced speech recognition technology and semantic analysis algorithms to establish a comprehensive and accurate mapping relationship library between acoustic features and semantics, so that the unique charm and rich connotation of the dialect can be digitally preserved, laying a solid foundation for the inheritance and dissemination of rural culture at the language level.

[0043] Furthermore, the digital human modeling engine includes a library of ethnic costume materials and a dynamic expression driving system. The library contains digitized textures of traditional ethnic costume craftsmanship, while the dynamic expression driving system utilizes a set of lip-syncing animation rules adapted to dialect pronunciation. Drawing on in-depth research into traditional ethnic costume craftsmanship and utilizing advanced digital scanning technology, the library meticulously converts the unique textures of various ethnic costumes, such as embroidery, batik, and brocade, into digital textures, highly recreating the texture and detail of ethnic costumes and providing a solid foundation for digital humans to wear clothing with strong ethnic characteristics. The dynamic expression driving system, based on a large number of dialect pronunciation samples, applies phonetics and animation technology to accurately analyze and establish a set of lip-syncing animation rules adapted to dialect pronunciation. This ensures that when the digital human speaks in dialect, their lip movements naturally and accurately match the pronunciation, vividly showcasing the unique charm of rural culture in language expression and enhancing the authenticity and appeal of the digital human in the process of disseminating rural culture.

[0044] Furthermore, the cultural knowledge graph includes spatiotemporal labels and a transmission network. The spatiotemporal labels are used to link the origins of cultural elements to their historical periods; the transmission network visually displays the lineage of skill inheritance and interpersonal connections. By deeply mining and organizing vast amounts of rural cultural data, the spatiotemporal labels accurately identify the origins of each cultural element, enabling accurate tracing of the unique folk customs of remote mountainous areas and traditional skills from water-rich regions. Furthermore, they clearly define the historical periods within which these elements occur, from ancient agricultural civilizations to modern society, allowing users to intuitively understand the coordinates of cultural elements in time and space. The transmission network, in an intuitive and easy-to-understand graphical format, clearly illustrates the transmission of various skills, from the founder to the current generation, with information on each generation at a glance. Furthermore, it showcases the connections between individuals formed through rural cultural inheritance, such as mentor-apprentice relationships and family ties, comprehensively revealing the interpersonal networks behind rural cultural inheritance and providing a rich and precise information framework for in-depth research on the inheritance and development of rural culture.

[0045] Furthermore, the cross-media generation module enables the spatial overlay display of virtual digital humans and physical artifacts within AR scenarios, and reconstructs folk festivals through immersive VR narratives. Leveraging advanced computer graphics and image processing technologies, the cross-media generation module accurately integrates the images of virtual digital humans with physical artifacts within AR scenes, allowing viewers to virtually interact with the real artifacts, imbuing them with new vitality and storytelling. Regarding the VR immersive narrative reconstruction of folk festivals, the module delves into the cultural connotations, traditional rituals, and unique stories behind these festivals, creating an immersive experience for users through virtual reality technology. Users can participate in every aspect of the festival from a first-person perspective, experiencing the charm and awe of traditional folk culture. This greatly enhances the interest and appeal of rural cultural communication and opens up new avenues for the inheritance and dissemination of rural culture through modern digital media.

[0046] The system also includes a cultural communication effectiveness evaluation unit and an adaptive learning mechanism. The unit generates a heat map based on audience interaction data, while the adaptive learning mechanism optimizes content generation strategies based on communication feedback. The unit conducts in-depth analysis of audience interaction data with content related to rural cultural digital humanoids across various platforms, including likes, comments, shares, and dwell time. This data is integrated and intuitively presented in the form of a heat map, accurately pinpointing the popularity and distribution of rural culture across different regions and groups. The adaptive learning mechanism intelligently adjusts content generation strategies based on the heat map and other communication feedback. If a particular rural cultural theme is found to be unpopular, the content direction is promptly adjusted to explore more appealing themes. If a particular presentation style, such as animation style or narrative rhythm, receives positive feedback, the use of that style is reinforced, and content generation is continuously optimized to better meet audience needs and enhance the communication effectiveness and influence of rural cultural digital humanoids. The cultural communication effectiveness evaluation unit includes an emotional computing model and a cultural memory testing module. The emotional computing model performs semantic analysis on audience comments to identify the underlying emotional tendencies and determine whether the audience favors, is neutral, or dislikes rural cultural content, providing deeper emotional dimension data for the heat map. The cultural memory testing module regularly tests the audience through questionnaires or mini-games to understand their memory of specific rural cultural elements, stories, and activities. This measures the retention of rural culture in the audience's minds, providing a stronger basis for the adaptive learning mechanism to optimize content generation strategies, helping the system to more comprehensively and accurately evaluate cultural communication effects and enhance the effectiveness of rural cultural dissemination.

[0047] like Figure 2 , based on the method of using this system, including the following steps:

[0048] S1. Build digital twins of cultural inheritors and preserve holographic data of their skill demonstrations;

[0049] S2. Generate interactive cultural heritage scripts and dynamically combine different cultural elements;

[0050] S3. Realize the connection of cultural scenes across time and space through digital human tour guides.

[0051] During the implementation process, for S1, high-precision 3D scanning technology and motion capture equipment were used to collect comprehensive data from multiple rural cultural heritage inheritors. This led to the successful creation of realistic digital twins of these individuals, along with complete holographic data of demonstrations of skills such as traditional paper-cutting and handmade pottery. For S2, advanced artificial intelligence algorithms were used to deeply explore various elements of rural culture. Based on the needs of different audiences and cultural themes, highly interactive cultural heritage scripts were generated. For example, these scripts dynamically combined folk tales, traditional festival customs, and other cultural elements, combining local legends with modern life scenes. For S3, lifelike digital human tour guides were developed using virtual reality (VR) and augmented reality (AR) technologies, enabling the connection of cultural scenes across time and space, such as ancient farming scenes and modern rural landscapes. These steps have, on the one hand, attracted a significant number of young people to rural culture, significantly increasing visits and user activity on the online platform. On the other hand, they have enhanced the depth and breadth of rural cultural dissemination, enabling wider recognition and understanding of rural culture among audiences across regions and age groups, effectively promoting its inheritance and development.

[0052] Furthermore, the method further comprises:

[0053] S4. AR display of specific cultural content triggered by geolocation services;

[0054] S5. Use blockchain technology to verify ownership and preserve digital cultural assets.

[0055] In S4, by locating the user's specific rural geographic location, when the user arrives at a culturally significant site, such as an ancient temple or traditional dwelling, the system automatically triggers a corresponding AR display, presenting historical stories and traditional rituals that took place at that location, allowing the user to experience the unique charm of rural culture firsthand. In S5, the blockchain's immutable and traceable properties are leveraged to confirm the ownership of various digital cultural assets associated with rural cultural digital people, such as digital scripts and holographic data, clarifying their creators and owners and permanently documenting the relevant information. This not only protects the rights of creators, but also provides a solid foundation of trust for the transaction and dissemination of rural cultural digital assets, promoting the healthy development of the rural cultural industry.

[0056] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A rural cultural digital human inheritance and dissemination system, characterized by: include: The cultural element collection module is used to obtain multimodal data on intangible cultural heritage skills, dialect songs, and folk activities; Digital human modeling engine, used to generate virtual images with regional cultural characteristics; Cultural knowledge graph, used to store rural cultural elements and their relationships; A cross-media generation module for transforming cultural content into virtual reality, augmented reality, and mixed reality; Multi-terminal interactive interface, used to connect mobile devices, smart speakers and cultural exhibition devices.

2. The rural culture digital human inheritance and dissemination system according to claim 1 is characterized by: The cultural element acquisition module includes: The intangible cultural heritage skills motion capture unit has an inertial sensor to record dynamic data of traditional crafts; The dialect phonology analysis submodule establishes a mapping relationship library between acoustic features and semantics.

3. The rural culture digital human inheritance and dissemination system according to claim 1 is characterized by: The digital human modeling engine includes: Ethnic costume material library, with digital textures of traditional ethnic costume craftsmanship; A dynamic expression driving system and a lip-sync animation rule set adapted to dialect pronunciation.

4. The rural culture digital human inheritance and dissemination system according to claim 1 is characterized by: The cultural knowledge graph includes: Spatiotemporal dimension labels are used to associate the origin region and historical period of cultural elements; The inheritance relationship network visually displays the inheritance lineage of skills and interpersonal relationships.

5. The rural culture digital human inheritance and dissemination system according to claim 1 is characterized by: The system further comprises: Cultural communication effect evaluation unit, which generates heat maps based on audience interaction data; Adaptive learning mechanism to optimize content generation strategy based on dissemination feedback.

6. The rural culture digital human inheritance and dissemination system according to claim 5 is characterized by: The evaluation unit comprises: Affective computing models are used to analyze changes in users' micro-expressions when viewing cultural content; The cultural memory test module is used to evaluate knowledge retention through question-and-answer interaction.

7. The rural culture digital human inheritance and dissemination method according to any one of claims 1 to 6 is characterized by: The following steps are involved: S1. Build digital twins of cultural inheritors and preserve holographic data of their skill demonstrations; S2. Generate interactive cultural heritage scripts and dynamically combine different cultural elements; S3. Realize the connection of cultural scenes across time and space through digital human tour guides.

8. The rural culture digital human inheritance and dissemination method according to claim 7 is characterized by: Also includes: S4. AR display of specific cultural content triggered by geolocation services; S5. Use blockchain technology to verify ownership and preserve digital cultural assets.

9. A computer-readable storage medium storing program instructions for executing the method according to claims 8-9.

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