Multi-dimensional emotion recognition management method, system, processor, terminal and medium

An emotion recognition and management method technology, applied in multi-dimensional emotion recognition management methods, systems, processors, terminals and media fields, can solve the problems of low recognition accuracy of emotion recognition technology, difficult to popularize and apply, and achieve good self-control ability. , the effect of promoting self-regulation

Active Publication Date: 2021-03-02
GUODIAN DADU RIVER POWER ENG
View PDF15 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problems of the low recognition accuracy of the existing emotion recognition technology and the difficulty of popularizing and applying them in emplo...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-dimensional emotion recognition management method, system, processor, terminal and medium
  • Multi-dimensional emotion recognition management method, system, processor, terminal and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0048] Embodiment: multi-dimensional emotion recognition management method, such as figure 1 shown, including the following steps:

[0049] S101: Construct an emotion prediction model according to occupation type and standard workload. Among them, the types of occupations can be distinguished according to the occupational classifications stipulated by the state, and the amount of standard work tasks is based on the amount of tasks that normal staff can normally complete within the working hours stipulated by the state.

[0050] S102: Using MBTI occupational personality test data as optimized input parameters to personalize the emotion prediction model to form an emotion recognition model. The MBTI professional personality test data can reflect the adaptability of different employees to different work situations. When different employees encounter the same work situation, the emotional recognition model sets different thresholds for emotional transition points.

[0051] S103:...

Embodiment 2

[0059] Embodiment 2: multi-dimensional emotion recognition management system, such as figure 2 shown, including:

[0060] Model building blocks for constructing sentiment prediction models based on occupational types and standard workloads;

[0061] The optimization processing module is used to form an emotion recognition model after carrying out personalized processing to the emotion prediction model with the MBTI occupational personality test data as an optimization input parameter;

[0062] The regulation and processing module is used to use the ratio of the actual workload of the target employee to the standard workload as the regulation input parameter to predict and regulate the emotion recognition model;

[0063] The data acquisition and processing module is used to obtain the heart rate distribution information of the target employee in real time through the positioning wearable bracelet, start the camera within the positioning area according to the positioning infor...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a multi-dimensional emotion recognition management method, system, processor, terminal and medium. The key points of the technical scheme are: constructing an emotion prediction model; performing personalized processing on the emotion prediction model to form an emotion recognition model; Forecasting and regulation; combining heart rate distribution information and work track distribution information to obtain the work progress information of the target employee; after performing feature segmentation on the work progress information, the difficulty coefficient distribution information of the work difficulty on the time axis is obtained, and the difficulty coefficient distribution information is used as The emotional development inducing factors predict and induce the emotion recognition model, and obtain the target employee's emotion recognition results based on the influence of multi-dimensional factors. The present invention accurately identifies employee emotions with reference to multi-dimensional factors such as occupation type, work task volume, MBTI occupational personality test data, and work difficulty, and at the same time obtains the emotional identification results that affect employee emotions, providing data support for humanized management decisions of enterprises.

Description

technical field [0001] The present invention relates to the technical fields of Internet of Things and data processing, and more specifically, it relates to a multi-dimensional emotion recognition management method, system, processor, terminal and medium. Background technique [0002] Positive emotions can improve employees' work performance, while negative emotions can reduce the quality of employees' work or even lead to a decline in work performance. Therefore, taking timely and effective measures to obtain the latest emotional state of employees and timely relieve employees' negative emotions is of positive significance for improving the morale and spirit of employees' personal and team work. [0003] At present, most of the existing emotion recognition technologies are realized by extracting the expression features that can reflect emotions from the facial image information of the target object through face recognition technology. Due to the influence of each employee's...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/06G06Q10/04G06K9/00G06F16/9035A61B5/16A61B5/024A61B5/00
CPCG06Q10/0639G06Q10/04G06F16/9035A61B5/165A61B5/02438A61B5/681G06V40/174
Inventor 涂扬举罗玮罗立云黄颖
Owner GUODIAN DADU RIVER POWER ENG
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap