Handwriting recognition child intelligent learning system based on intelligent terminal

A smart terminal and handwriting recognition technology, which is applied in character and pattern recognition, electric-operated teaching aids, instruments, etc., can solve the problems of repeated operations, insufficient functions, lack of handwriting and speech recognition functions, etc., and reduce the economic burden , the effect of interactive improvement

CN103809694AInactive Publication Date: 2014-05-21上海分维智能科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2014-05-21
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to a handwriting recognition child intelligent learning system based on an intelligent terminal. The handwriting recognition child intelligent learning system comprises the intelligent terminal with a touch screen, a feature extraction module, a character knowledge base, a character recognition module, a learning mode selection module and a voice output module, wherein the feature extraction module, the character knowledge base, the character recognition module, the learning mode selection module and the voice output module are arranged in the intelligent terminal; the feature extraction module is connected with the touch screen and the character recognition module; the character knowledge base is connected with the character recognition module and the learning mode selection module; the voice output module is connected with the character recognition module and the learning mode selection module. Compared with the prior art, the handwriting recognition child intelligent learning system has the advantages that by the utilization of the handwriting input function of the intelligent terminal such as a tablet personal computer and an intelligent phone, the problem that patients have no time or do not have enough time to coach children in learning is solved, the handwriting recognition child intelligent learning system is not limited by learning time and places, and economic burdens are greatly reduced.
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Description

technical field

[0001] The invention relates to pattern recognition technology and online handwriting recognition technology, in particular to an intelligent terminal-based handwriting recognition children's intelligent learning system. Background technique

[0002] In recent years, intelligent terminals such as tablet PCs and smart phones have developed rapidly, and their hardware performance has been continuously improved, while their prices have been continuously reduced. The computing power and storage space of the hardware are sufficient for more complex calculations and storage of a large amount of information, making it possible to develop children's self-learning intelligent systems using tablet computers and smart phone platforms; at the same time, the price has fallen so that ordinary families can afford it.

[0003] Due to the accelerated pace of modern life, parents are generally very busy, and there is often not enough time to tutor their children, and there are...

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Embodiment Construction

[0034] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0035] Such as figure 1 As shown, a smart terminal-based handwriting recognition children's intelligent learning system includes a smart terminal with a touch screen 1, a feature extraction module 2, a character knowledge base 3, a character recognition module 4, and a learning mode selection module 5 located in the smart terminal. And voice output module 6, described feature extraction module 2 connects touch screen 1 and character recognition module 4 respectively, and described character knowledge base 3 connects character recognition module 4 and learning mode selection module 5 r...