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Method for recognizing and monitoring emotion of user based on mobile terminal

A mobile and emotional technology, applied in the field of data processing, can solve the problems of poor soundness, affect the accuracy of emotion recognition, and low data naturalness, and achieve the effect of improving accuracy, improving user friendliness, and simplifying the collection process.

Pending Publication Date: 2021-02-19
NORTHWESTERN POLYTECHNICAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, in the follow-up training network, the current emotional technology recognition based on traditional methods all use open source data sets to train the network, and the data may have problems such as low naturalness and poor soundness, which will directly affect emotions. recognition accuracy

Method used

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  • Method for recognizing and monitoring emotion of user based on mobile terminal
  • Method for recognizing and monitoring emotion of user based on mobile terminal
  • Method for recognizing and monitoring emotion of user based on mobile terminal

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Embodiment Construction

[0021] Further describe the technical scheme of the present invention below in conjunction with accompanying drawing: as figure 1 As shown, a method for identifying and monitoring a user's emotion based on a mobile terminal, the method includes the following steps.

[0022] Step 1: Collect user data and generate data sets; the data include heart rate data and emotion data; the data sets include heart rate data sets and emotion data sets.

[0023] In order to obtain a more prepared result, the heart rate data is divided into daytime heart rate data and nighttime heart rate data, the daytime heart rate data is obtained by a heart rate sensor; the nighttime heart rate data is obtained by a triaxial acceleration sensor and a heart rate sensor. The emotion data includes positive category, general category and negative category.

[0024] Specifically, first design a mobile APP to collect the data generated by users every day. Use the APP to record the usage time of α kinds of appl...

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Abstract

The present invention provides a method for recognizing and monitoring emotion of a user based on a mobile terminal. Different from single prediction purely carried out based on expressions, behaviorsand languages in a traditional sense, instead, various data, such as communication conditions, sleep conditions and APP use conditions, generated by a user are collected through a mobile phone and awristband daily carried by the user, a data set highly covering life of the user is constructed, and an accurate perception of emotion of the user is completed. The method simplifies a collection process during a data collection process, improves user friendliness, describes emotion features of the user from a multi-dimensional perspective, improves an accuracy of recognition results, extracts keyfeatures for modeling in a data processing stage, reduces complexity of a subsequent machine learning algorithm and shortens running time of the algorithm.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method for identifying and monitoring user emotions based on a mobile terminal. Background technique [0002] At present, user emotion recognition is mainly divided into two modules: user emotion recognition based on traditional methods (user emotion recognition based on face, user emotion recognition based on text, user emotion recognition based on voice and user emotion recognition based on physiological characteristics) and User emotion recognition based on a new method (user emotion recognition based on gesture behavior). [0003] In terms of scientific research, the traditional emotion technology recognition method has good applicability for capturing the user's instantaneous emotion. However, in real life, the user's emotion may change every moment. Compared with the analysis of instantaneous emotion, Users may prefer to get the average sentiment over a certain period of t...

Claims

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Application Information

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IPC IPC(8): A61B5/16
CPCA61B5/165
Inventor 李志刚李斯羽问静波齐振翮张娜娜
Owner NORTHWESTERN POLYTECHNICAL UNIV