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Emotion-based OCC-PAD-OCEAN federal cognitive modeling method

A technology of OCC-PAD-OCEAN, modeling method, applied in the field of psychological cognitive modeling, can solve problems such as lack of cognitive modeling method

Pending Publication Date: 2021-09-21
EAST CHINA NORMAL UNIVERSITY
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  • Claims
  • Application Information

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Problems solved by technology

[0005] The invention provides an emotion-based OCC-PAD-OCEAN federated cognitive modeling method that can use deep learning technology to process psychological signals, and solves the problem of deep-level fusion of deep learning algorithms in the prior art. The problem that the model method is relatively deficient

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  • Emotion-based OCC-PAD-OCEAN federal cognitive modeling method

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Embodiment 1

[0025] Emotion can reflect a person's short-term state. Due to changes or stimuli in external conditions, emotion can change greatly in a short period of time. The OCC emotion model specifies 22 emotional categories as a standard model of emotional synthesis. Based on Ekman's theory that all non-basic emotions can be synthesized by basic emotions, the present invention adopts six basic emotions defined by it to construct the OCC emotional space, i.e. anger ), disgust (disgust), fear (fear), happiness (happiness), sadness (sadness), surprise (surprise), expressed in vector form as E=[e angry , e disgust , e fear , e happy , e sad , e surprise ] T , where the value range of each element is [0, 1], indicating the intensity of emotion.

[0026] As an intermediate measure of emotion and personality, mood reflects the emotional state of a person over a period of time. From a measurement perspective, mood can be obtained by averaging an individual's affective states over a per...

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Abstract

The invention provides an emotion-based OCC-PAD-OCEAN federal cognitive modeling method, and the method comprises the following steps: constructing a VGG-FACS-OCC model, and calculating an emotion space vector of a tested video; according to a parameter quantization mapping relation between an OCC emotion space and a PAD mood space in an OCC-PAD-OCEAN model, mapping the emotion space vector to the PAD mood space to obtain a mood space vector; and mapping the mood space vector to an OCEAN personality space to obtain a personality space vector. According to the method, the expressions are mapped to the PAD mood space through the established expression-mood mapping relation, then the average mood within a period of time is mapped through the established mood-personality mapping relation, personality characteristics are extracted, and finally information with certain statistical significance and reliability in the personality space is obtained.

Description

technical field [0001] The invention relates to the technical field of psychological cognitive modeling, in particular to an emotion-based OCC-PAD-OCEAN federated cognitive modeling method. Background technique [0002] Psychology is an experimental science, and the vast majority of psychological research progress is based on the psychological experimental paradigm, which collects and analyzes the subjective and objective data of the subjects. In the experiment, the main tester is required to observe and record all aspects of the behavior of the testee under the condition of strict control of variables, and analyze the collected data results. Even so, there are still many problems in psychological experiments, such as low reliability and validity of experimental results, and unrepeatable experiments. Some of these problems come from the bystander effect, and some come from the limitations of laboratory experiments, etc., which lead to psychological experiments being limited...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/62G06N20/00
CPCG06N20/00G06F18/213G06F18/25G06F18/214Y02T10/40
Inventor 刘峰张嘉淏王晗阳沈思源贾迅胡静怡周爱民齐佳音李志斌
Owner EAST CHINA NORMAL UNIVERSITY
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