Emotion recognition method in video learning based on eye movement measurement

A technology of emotion recognition and video, which is applied in the field of emotion recognition and can solve the problems that there are not many researches on recognition

Inactive Publication Date: 2021-03-09
GUILIN UNIVERSITY OF TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, there are not many studies on em

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  • Emotion recognition method in video learning based on eye movement measurement
  • Emotion recognition method in video learning based on eye movement measurement
  • Emotion recognition method in video learning based on eye movement measurement

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Embodiment Construction

[0035] The present invention will be further described below in conjunction with examples and accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0036] Such as figure 1 As shown, the present embodiment provides a method for emotion recognition in video learning based on eye movement measurement, comprising the following steps:

[0037] S1. Clean the data and divide the data sets of different time windows, and normalize the data.

[0038] S2. Carry out correlation analysis on the eye movement features, and use the support vector machine algorithm in machine learning to classify the emotional state of the eye movement information data.

[0039] S3. Evaluate the obtained model by using different evaluation indicators.

[0040] More specifically, self-prepared eye movement data sets, using learning videos A and B as stimulus materials, the entire experimental process of eye movement data collection: before the experiment, the subjects ...

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Abstract

The invention discloses an emotion recognition method in video learning based on eye movement measurement. The method comprises the steps of obtaining eye movement information such as pupil diameter,blink, gaze and eye jump of a learner by watching a learning video stimulation material and utilizing an eye movement tracking technology; and researching the relationship between the emotional stateof the learner and the eye movement physiological signal in the online learning process. The eye movement characteristics most relevant to the emotional state of the learner are obtained. After normalization processing is performed on the eye movement data, a support vector machine (SVM) machine learning model is adopted to classify the positive emotional state and the negative emotional state ofthe eye movement features, so that an eye movement information emotion recognition result can be obtained. The emotion recognition precision can be improved.

Description

technical field [0001] The invention relates to the field of emotion recognition, in particular to an emotion recognition method for video learning based on eye movement measurement and using machine learning algorithms. Background technique [0002] In recent years, online learning has become an important means of learning. The different emotions generated by learners in the learning process will seriously affect their learning effect. Emotion is a psychological reaction caused by external stimuli, which can affect and regulate cognitive activities such as attention, perception, representation, memory, thinking and language. Positive emotions in the learning process can help stimulate learning motivation, cultivate learning interest, and promote the cognitive process; while negative emotions can affect patience and attention, and hinder the cognitive process. Existing online network learning environment research focuses on "knowledge" rather than "emotion", focusing on th...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/40G06K9/54G06K9/62
CPCG06V40/174G06V40/197G06V20/10G06V10/30G06V10/20G06F18/2411G06F18/214
Inventor 陶小梅刘胜西陈欣怡
Owner GUILIN UNIVERSITY OF TECHNOLOGY
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