Chinese character writing trajectory recognition method, system and electronic equipment based on brain-computer interface

By collecting and analyzing the neural electrical signals in the user's brain, using machine learning algorithms to identify the writing trajectory of Chinese characters, and adopting a method of imagining Chinese character strokes in one stroke, the problems of complex two-dimensional Chinese character structure and complicated training content are solved, and the efficiency of Chinese character writing communication and the scalability of training for people with diseases are improved.

CN117608400BActive Publication Date: 2025-09-12BEIJING TIANTAN HOSPITAL AFFILIATED TO CAPITAL MEDICAL UNIV
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Patent Information

Application Number
CN202311574868.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-11-23
Publication Date
2025-09-12
Estimated Expiration
2043-11-23

AI Technical Summary

Technical Problem

In the existing technology, the two-dimensional Chinese character structure is complex and there are a large number of Chinese characters, which leads to complicated training content for users, a long time consumption, easy fatigue, and high cognitive load. It is difficult to promote long-term use among people with diseases. In addition, the training content is not extensible and expandable, the consistency of the neural electrical signals imagined when writing Chinese characters is low, and the communication efficiency is low.

Method used

By collecting the neural electrical signals of the first area of ​​interest and the second area of ​​interest in the user's brain, using machine learning algorithms to extract feature signals, identifying the user's writing motion trajectory parameters, and adopting a coherent Chinese character stroke imagination method, the training content is simplified and the consistency of neural electrical signals and communication efficiency are improved.

Benefits of technology

It simplifies the training content, improves the consistency and communication efficiency of the neural electrical signals in the imagination of Chinese character writing, reduces the user's cognitive load, expands the scalability of the training content, and is suitable for long-term use by people with diseases.

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Abstract

The present application discloses a Chinese character writing trajectory recognition method, system, and electronic device for brain-computer interface. The method relates to the field of brain-computer interface technology. The method comprises: collecting a first neural electrical signal recorded in a first area of ​​interest in the user's brain; collecting a second neural electrical signal recorded in a second area of ​​interest in the user's brain; performing feature extraction on the first neural electrical signal to obtain a corresponding first feature signal; performing feature extraction on the second neural electrical signal to obtain a corresponding second feature signal; determining the user's demand state based on the second feature signal; and performing trajectory recognition on the first feature signal corresponding to the first neural electrical signal of the current imagination task, determining the writing motion trajectory parameter information corresponding to the writing imagination, and forming a fitting trajectory.
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