Self-learning man-machine interaction method

A human-computer interaction and face recognition technology, applied in the field of self-learning human-computer interaction, can solve the problems of data supply for statistics, service items cannot be self-learning, etc., to facilitate storage and reading, and improve self-learning and updating capabilities , the effect of saving time

Active Publication Date: 2020-06-26
URUMQI MINGHUA INTELLIGENT ELECTRONICS TECH
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The invention provides a self-learning human-computer interaction method, which solves the problem that service items cannot perform self-learning and provide statistics for data during human-computer interaction

Method used

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  • Self-learning man-machine interaction method

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Embodiment Construction

[0035] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0036] Please refer to figure 1 , figure 2 , image 3 , Figure 4 and Figure 5 ,in, figure 1 A system block diagram of a preferred embodiment of the self-learning human-computer interaction method provided by the present invention; figure 2 for figure 1 The system block diagram of the part of the intelligent identification system shown; image 3 for figure 1 The system block diagram of the central processing system part shown; Figure 4 A flowchart of the human-computer interaction method for self-learning provided by the present invention; Figure 5 for figure 1 The system block diagram of the intelligent learning system shown. A self-learning human-computer interaction method includes the following steps:

[0037] S1 intelligent identification system identifies and detects users;

[0038] S2 identifies the user through the central proc...

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Abstract

The invention provides a self-learning man-machine interaction method. The self-learning man-machine interaction method comprises the steps that S1, the an intelligent recognition system recognizes and detects a user; Ss2, identifying whether a user meets the requirement of login man-machine interaction or not is identified through a central processing system; and S3, the user meeting the requirement directly queues and waits in the central processing system or performs human-computer interaction. According to the self-learning man-machine interaction method provided by the invention, the a face recognition module and the a voice recognition module are both in a closed state; so that equipment is the operation of the equipment can be started in time; m. Meanwhile, when the user does notuse the a man-machine interaction robot, the power consumption can be reduced; the man-machine interaction robot achieves the effects of energy conservation and environmental protection, further optimizes the importance of projects conveniently, calls important service projects conveniently for statistics, observes the requirements of users, and avoids consuming a large amount of query time when querying the service projects, so that the man-machine interaction time is saved, and the self-learning and updating capabilities of the man-machine interaction robot are improved.

Description

technical field [0001] The invention relates to the technical field of human-computer interaction robots, in particular to a self-learning human-computer interaction method. Background technique [0002] With the continuous development and progress of science and technology, intelligent robots have become a trend instead of manual services. At the same time, when robots interact with users, they can introduce the user's demand data in detail, and can display them more professionally for users to observe and learn from. , At the same time meet the user's inquiry and consultation of different service project needs. [0003] When the existing human-computer interaction robot is in use, regardless of whether the human-computer interaction is performed or not, the recognition system clock on the device is in a state of starting, which causes the recognition system to consume a large amount of power, which leads to a reduction in the service life of the robot and cannot be used by...

Claims

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Application Information

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IPC IPC(8): G06F3/01G06F21/32G06F1/3231G06F1/3287
CPCG06F3/011G06F21/32G06F1/3231G06F1/3287Y02D10/00
Inventor刘晓东
OwnerURUMQI MINGHUA INTELLIGENT ELECTRONICS TECH