Cross-inducing-mode emotion electroencephalogram recognition and modeling method

A modeling method and EEG technology, applied in the field of human-computer emotional interaction, can solve problems such as the inability to guarantee the recognition ability of emotional EEG samples, and achieve the effect of friendly interactive interface and stable recognition performance

Active Publication Date: 2014-04-02
TIANJIN UNIV
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Problems solved by technology

However, there is a big limitation in this approach: the classification model established under a single emotion-evoked mode is likely to take into account some features that are only related to the stimulus attribute response and not related to emot

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  • Cross-inducing-mode emotion electroencephalogram recognition and modeling method
  • Cross-inducing-mode emotion electroencephalogram recognition and modeling method
  • Cross-inducing-mode emotion electroencephalogram recognition and modeling method

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Embodiment Construction

[0025] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0026] Aiming at the current problems, this method proposes a method of cross-pattern recognition. First, feature extraction and analysis are performed on the emotion-induced EEG under different stimulation patterns (such as video, picture stimulation, etc.). During the modeling training process, the stimulation pattern The characteristics of the EEG samples under Ⅰ and Ⅱ are used for training. In the test process, the emotional EEG samples corresponding to the brand-new evoked materials under stimulation modes Ⅰ and Ⅱ are used to test to test whether the established classification model is suitable for the new stimuli. The emotion-induced EEG samples under the content have the ability to recognize, so as to find a stable, reliable and ...

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Abstract

The invention discloses a cross-inducing-mode emotion electroencephalogram recognition and modeling method which comprises the following steps: designing inducing tests with different stimulation modes; collecting and preprocessing electroencephalogram data; extracting emotion electroencephalogram characteristics from the preprocessed electroencephalogram data; taking a part of video and picture inducing samples as a training set and the other part of the samples as a test set, and performing classification and recognition on emotion electroencephalogram characteristics corresponding to the training set by a support vector machine classifier based on recursive characteristic screening, wherein samples in the training set and the test set are from different material sources. According to the method, emotion electroencephalogram samples of different inducing modes are all tested, thus better conforming to practical application scenarios; the objective and moderate emotion recognition method can provide technical support for emotion detection on on-orbit astronauts, or enables a computer in a man-machine interaction field to have capabilities of sensing, recognizing and understanding human emotions so as to make a sensitive and friendly response to the emotion of a user and build a really intelligent and humanized man-machine environment.

Description

technical field [0001] The invention relates to the field of human-computer emotion interaction and the field of emotion monitoring for astronauts in the field of on-orbit spaceflight, in particular to a cross-induced mode emotion EEG recognition modeling method. Background technique [0002] Emotion is a high-level function of the human brain, which ensures the survival and adaptation of organisms, and has an important impact on individual learning, memory, and decision-making. Emotions are also a source of individual variation and are a key component of many personality traits and psychopathologies. With the development of society, people of all ages and fields are experiencing more and more emotional distress, and the correct identification and adjustment of emotions is of great significance to improving the quality of human life and ensuring physical and mental health. [0003] At present, researchers at home and abroad use facial expressions, voice, and posture signals...

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Application Information

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IPC IPC(8): A61B5/0484A61B5/16
Inventor 明东张迪刘爽陈龙柯余峰许敏鹏綦宏志张力新
Owner TIANJIN UNIV
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