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Composition evaluation method based on brain wave

An evaluation method, brain wave technology, applied in the direction of electrical digital data processing, input/output process of data processing, input/output of user/computer interaction, etc., can solve problems such as students' learning difficulties and differences, and improve composition Learning efficiency, the effect of automatic assessment

Inactive Publication Date: 2018-09-14
校宝在线(杭州)科技股份有限公司
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AI Technical Summary

Problems solved by technology

Manual evaluation requires a dedicated teacher, and at the same time, manual reading is required to give a professional evaluation. Due to human subjective will, different teachers may score differently, which will cause trouble for students' learning

Method used

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Embodiment Construction

[0022] The present invention will be further described below in combination with specific embodiments.

[0023] A composition evaluation method based on brain waves, including a training stage and an evaluation stage. The training stage refers to: using brain wave signals, using deep learning technology to train systematic and structural features, language expression difficulty features, and language expression diversity According to the feature extraction model, the features are extracted according to the feature extraction model, and finally the composition scoring model is obtained through training; the evaluation stage refers to: the brain wave sensor obtains the brain wave signal, extracts the organizational structure features, language expression difficulty features, and language expression diversity features, using the composition scoring model for composition evaluation.

[0024] Among them: the training phase steps are as follows:

[0025] (1) Data collection and lab...

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Abstract

The invention discloses a composition evaluation method based on a brain wave. The method includes a training phase and an evaluation phase. The training phase refers to: using a brain wave signal andthe deep learning technique to train a feature extraction model of the hierarchical structure features, the language expression difficulty features and the language expression diversity; extracting features according to a feature extraction model, and finally obtaining a composition scoring model through training. The evaluation phase refers to: acquiring the brain wave signal through a brain wave sensor, extracting the texture structure features, the language expression difficulty features and the language expression diversity features; performing the composition evaluation through the composition scoring model. The invention has the beneficial effects in achieving the accurate and automatic evaluation of the composition of a learner through the brain wave detection, signal processing technology and machine learning method, and quickly improving the composition learning performance.

Description

technical field [0001] The present invention relates to the technical field related to machine learning, in particular to a composition evaluation method based on brain waves. Background technique [0002] With the improvement of people's living standards, people's enthusiasm for foreign language learning is increasing day by day. It is of great significance to study how to automatically evaluate compositions effectively and quickly. It can not only significantly reduce the workload of composition teachers, but also improve the efficiency of composition learning. At present, composition evaluation is mainly manual evaluation. Manual evaluation requires a dedicated teacher, and at the same time requires manual repeated reading to give a professional evaluation. Due to human subjective will, different teachers may score differently, which will cause trouble for students' learning. With the development of modern science and technology, the development of brain wave technology...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06F3/01G06F17/30
CPCG06F3/015G06F18/2193G06F18/214
Inventor 蒋阳波
Owner 校宝在线(杭州)科技股份有限公司
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