Calligraphy creation guiding method and device based on human-computer interaction and medium

By establishing a multi-layered semantic ontology of brushstrokes and generating a rule graph, and using multi-dimensional perception data of brushstrokes for semantic mapping and rule triggering, the problem of refined guidance and error correction in complex writing scenarios in calligraphy human-computer interaction in existing technologies has been solved, and more stable and coherent calligraphy creation guidance has been achieved.

CN122087130AActive Publication Date: 2026-05-26XIAMEN UNIV OF TECH
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Patent Information

Application Number
CN202610518500.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-20
Publication Date
2026-05-26
Estimated Expiration
2046-04-20

AI Technical Summary

Technical Problem

Existing calligraphy human-computer interaction technologies have room for improvement in terms of multi-layered brushstroke semantic organization and cross-stage rule linkage. In particular, when there is a lack of a unified semantic ontology structure and rule relationship expression mechanism, it is difficult to stably support refined guidance and error correction presentation in complex writing situations.

Method used

A multi-layered semantic ontology of brushstrokes is established, a rule graph is generated, and semantic mapping and rule triggering are performed through multi-dimensional perception data of brushstrokes to achieve guidance and error correction presentation.

Benefits of technology

It achieves unified convergence of rule entries in terms of mutual exclusion and trigger sequence, reduces the probability of presentation jumps, improves the coherence and consistency of guided presentation and error correction presentation, and has traceability.

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Abstract

The invention discloses a human-computer interaction-based calligraphy creation guiding method and device and a medium, and relates to the technical field of human-computer interaction, and the method comprises the steps: building a multilayer writing semantic ontology, carrying out the semantic classification and semantic association registration of rule entries in a calligraphy rule library, and generating a rule map; obtaining pen wielding multi-dimensional perception data, performing time identification unified alignment, and performing packaging to generate a pen wielding data packet; executing stroke phase segmentation on the pen wielding data packet, and executing semantic label mapping on a stroke phase segmentation result according to a multilayer writing method semantic ontology to generate a phase semantic mapping table; and performing rule entry retrieval on the phase semantic mapping table in the rule map, performing conflict judgment and rule trigger chain construction on the retrieved rule entries, and generating a rule trigger result packet. According to the method, unified convergence of the rule items between the mutual exclusion relation constraint and the triggering precedence relation constraint is realized through the rule triggering chain.
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