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Physiological signal analysis subsystem based on multimodal emotion recognition system

An emotion recognition and physiological signal technology, applied in character and pattern recognition, the use of multiple biometrics, speech analysis, etc. The effect of reducing requirements and improving accuracy

Active Publication Date: 2021-05-28
南京云思创智信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it does not integrate people's facial expressions, spoken words, body posture, voice intonation and physiological characteristics, etc.

Method used

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  • Physiological signal analysis subsystem based on multimodal emotion recognition system
  • Physiological signal analysis subsystem based on multimodal emotion recognition system
  • Physiological signal analysis subsystem based on multimodal emotion recognition system

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Embodiment Construction

[0061] The invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0062] Because the production of any emotion is accompanied by certain changes in the body, such as facial expressions, muscle tension, and visceral activities. Using these signal changes to directly perform emotion recognition is the so-called basic recognition method, also known as a single-modal emotion recognition method. The current main methods include facial images, language, text, gestures, and physiological signals. The present invention proposes to integrate, correspond and reason the understanding of emotions by computers in each of the following single modes to obtain a more complete and accurate emotion recognition method and system.

[0063] The emotion recognition system based on multimodal that present embodiment proposes, its system is made up of following several parts ( figure 1 It is a schematic diagram of a multimodal em...

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Abstract

The invention discloses a physiological signal analysis subsystem based on a multimodal emotion recognition system, which includes data acquisition equipment and output equipment, and is characterized in that: it also includes an emotion analysis software system, and the emotion analysis software system The data obtained by the data acquisition device is comprehensively analyzed and reasoned, and the result is finally output to the output device; the emotion analysis software system includes an emotion recognition subsystem based on non-contact physiological signals. The invention breaks through the emotion recognition of five single modes, innovatively uses the deep neural network to encode multiple single mode information by the neural network, and makes a comprehensive judgment after deep correlation and understanding, which greatly improves the performance. The accuracy rate is suitable for the vast majority of general inquiry and interactive application scenarios.

Description

technical field [0001] The present invention relates to the technical field of emotion recognition, in particular, to machine learning, deep learning, computer vision, natural language processing, speech recognition, human action recognition, non-contact physiological detection, etc. based on multimodal emotion recognition systems. Signal analysis subsystem. Background technique [0002] Emotion recognition is a technology for judging people's emotional changes. It mainly collects people's external expressions and behavior changes to infer people's psychological state. In modern society, emotion recognition technology is widely used in the development of smart devices, sales guide robots, health management, advertising and marketing, etc. Emotion is a state that integrates people's feelings, thoughts, and behaviors. It includes people's psychological responses to external or self-stimuli, as well as the physiological responses that accompany such psychological responses. I...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G06F40/30G10L25/30G10L25/63
CPCG10L25/30G10L25/63G06F40/30G06V40/70G06F18/25
Inventor 俞旸凌志辉
Owner 南京云思创智信息科技有限公司