Emotion identification method for human non-programmed motion

A technology of emotion recognition and human body, applied in the field of emotion recognition of human unstylized movement, which can solve the problems of low recognition rate and slow learning speed.

Inactive Publication Date: 2009-10-21
HUAZHONG UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

[0005] The invention proposes an emotion recognition method for non-stylized human body movement, which solves the problems of slow learning speed and low recognition rate existing in similar emotion recognition methods

Method used

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  • Emotion identification method for human non-programmed motion
  • Emotion identification method for human non-programmed motion
  • Emotion identification method for human non-programmed motion

Examples

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Embodiment

[0061] Example. Recognition of people's emotions from knocking on the door and raising hands

[0062] Since human body movement is mainly body movement, and most people are right-handed, this embodiment recognizes human emotions from the movement of the right hand of the human body.

[0063] The present invention utilizes the human body three-dimensional motion database established by Pollick, University of Glasgow, etc. to collect training samples and test samples. The database has four non-stylized human motion sequences of knocking on the door, raising hands, throwing things, and walking, and four emotional states of happiness, anger, sadness, and no emotion. There are two motion sequences for each emotion, and a total of 240 human motion sequences for one action type. In this example, the motion sequences of knocking on the door and raising hands of 29 characters from 30 characters are selected as the training data set, and the motion sequences of knocking on the door and...

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Abstract

The invention relates to an emotion identification method for human non-programmed motion, belongs to the field of computer mode identification, and solves the problems of low learning speed and low identification rate in the prior homogeneous emotion identification method. The method comprises a hidden Markov model establishing step and an emotion identification step, wherein the hidden Markov model establishing step comprises a training data acquisition substep, a motion segmentation substep, a feature extraction substep and a training substep, and establishes a hidden Markov model of various motion types and emotions; and the emotion identification step comprises a data acquisition substep, a motion segmentation substep, a feature extraction substep and an identification substep, and carries out emotion identification and motion type identification for a human motion sequence to be identified through the constructed hidden Markov model. The method can well show the inherent law of the motion, not only can identify the emotion, but also can identify the motion type, and has high identification rate, strong practicability and wide application.

Description

technical field [0001] The invention belongs to the field of computer pattern recognition, and in particular relates to an emotion recognition method of non-stylized human body movement, which extracts movement features and recognizes the emotional state contained in the movement sequence according to the three-dimensional movement data of each joint point of the human body. Background technique [0002] In 1997, Picard of the MIT Media Lab proposed "emotional computing", which received increasing attention from the academic community and rapid response from the business community. How to automatically recognize and understand human emotions has attracted the attention of a large number of researchers in psychology, computer science, linguistics and related disciplines. According to research by psychologists, in the interaction between people, the amount of information contained in the meaning of words accounts for 7% of the total amount of information transmitted, the tone ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/66G06T7/20G06K9/00G06T7/215
Inventor 王天江刘芳李新仕龚立宇陈刚陈幸
Owner HUAZHONG UNIV OF SCI & TECH
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