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Voice interaction strategy based on face recognition

A voice interaction and face recognition technology, applied in data processing applications, instruments, computing, etc., can solve problems such as single, manual, machine replying machinery, etc.

Pending Publication Date: 2019-12-13
宁波中科信息技术应用研究院(宁波人工智能产业研究院) +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the common robot recognition interaction is still based on manual and simple settings, and there is no systematic interaction strategy.
The simple reply with simple settings cannot give the exact reply to the recognizer based on the recognition frequency, recognition time, and recent recognition records, and it is easy to give people a feeling of artificial but not intelligent

Method used

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  • Voice interaction strategy based on face recognition
  • Voice interaction strategy based on face recognition
  • Voice interaction strategy based on face recognition

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Embodiment Construction

[0044] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0045] A strategy for initiating voice interaction after intelligent front-end robot recognition in the present invention, through the initialization template, feature selection strategy, random and priority selection mechanism, under the premise of successfully identifying employees, according to the employee's recognition frequency, recognition time, and recognition records, Realize that the machine actively initiates the interaction, which improves the intelligence of the robot compared with the general robot's one-question-one-answer mechanism.

[0046] The overall flow chart of this method is as follows: figure 1 As shown, it specifically includes the following steps:

[0047] S1 When employee XX recognizes and checks in, record the current recognition time as T n , 0≤n≤N, N=24:00, recording time T n , its format: year_month_day hour: ...

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Abstract

The invention discloses a voice interaction strategy based on face recognition. The strategy comprises steps of initializing an interactive feature template in advance; setting a feature template parameter; meanwhile, initializing a plurality of sets of interactive contents in the template; combining the previous identification time of the staff according to the time of the staff identification moment; identifying frequencies, and meanwhile, utilizing daily attendance information of nearly seven working days; designing a feature selector, and outputting interactive contents according to the priority and a random strategy; the method has the advantages that the strategy is simple to implement, through intelligent interaction, the strategy is close to human language communication, the adaptability to foreground attendance interaction of different companies is high, the calculation complexity is low, the resource occupation is small, the operation speed is high, meanwhile, the work enthusiasm of workers can be promoted, the work of the workers is supervised, and the strategy has important significance in improving enterprise culture.

Description

technical field [0001] The invention relates to computer artificial intelligence voice interaction technology, in particular to a strategy for initiating voice interaction after an intelligent front-end robot recognizes a human face. Background technique [0002] With the progress of society and economic development, the rise of the artificial intelligence industry, intelligent voice interaction robots have gradually come to people's vision, the voice interaction strategy is an important part of the artificial intelligence voice interaction system, it involves computer science, ergonomics , engineering psychology, cognitive science and other interdisciplinary fields. The current customer service robots use a relatively single language for initiating voice interaction after recognizing faces. From the perspective of ergonomics and psychology, they are not intelligent enough. There are certain discrepancies in the state of interaction with humans, words, and tone, and they are...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/10B25J11/00
CPCB25J11/0005G06Q10/1091
Inventor 陈辰查兴兴黄晁史红周赵忆潘意杰杨子江陈春燕袁敏杰胡波刘博文
Owner 宁波中科信息技术应用研究院(宁波人工智能产业研究院)
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