Tic disorder illness monitoring method and system based on vision and voice fusion technology

A monitoring system and voice technology, applied in the field of big data analysis and medical monitoring

Pending Publication Date: 2020-11-03
SHANGHAI UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The method of analyzing the changes of the monitored person's condition through the big data of tic and voice information has not yet been published.

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  • Tic disorder illness monitoring method and system based on vision and voice fusion technology
  • Tic disorder illness monitoring method and system based on vision and voice fusion technology

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Embodiment Construction

[0059] In order to describe the technical solution of the present invention more clearly, the specific embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0060] The tic disorder condition monitoring method based on vision and voice fusion technology, wherein, the monitoring method comprises the following steps:

[0061] (1) Continuously acquire the image and sound information of the monitored person and make real-time judgments on the movement and vocal tics of the monitored person; specifically, the following steps are included:

[0062] (1.1) Obtain the image information and sound information of the monitored person in real time through the image and sound sensors, specifically: obtain the image information of the monitored person's limbs and facial movements in real time through the image sensor, and obtain the voice of the monitored person in real time through the sound sensor information;

[006...

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Abstract

The invention relates to a tic disorder illness monitoring method and system based on a vision and voice fusion technology. Image and sound information of a monitored person is continuously obtained,real-time judgment is performed on movement and sound production tic of the monitored person, the obtained tic information is stored in a database according to a judgment result, then a diagnosis result is fed back to related personnel in time after database information of the monitored person is analyzed and diagnosed, and continuous monitoring is performed. According to the invention, the illness state of the monitored person can be found in a natural state without attracting attention of the monitored person, and the monitored person is reminded of timely treatment and correction accordingto the serious illness state. The problems that when manual monitoring is relied on, intentional self-control of the monitored person is likely to be caused, the illness state is insufficient to show,and the morbidity situation of a patient suffering from dysphagia cannot be monitored in real time for a long time are solved, and more accurate adjuvant therapy information can be provided for medical staff.

Description

technical field [0001] The present invention relates to the field of big data analysis, in particular to the field of medical monitoring, and specifically refers to a method and system for monitoring tic disorders based on vision and voice fusion technology. Background technique [0002] Human action recognition is a research direction in the field of artificial intelligence, and it has a long-term application prospect in the long-term monitoring and adjuvant treatment of the monitored patients with tic disorders. The technology is widely used in traffic, medical and public safety and so on. [0003] With the in-depth development of machine vision technology, the human action recognition technology that integrates vision and voice is more mature and reliable, making it possible to identify and monitor the condition of the monitored person with visual monitoring tic disorder. Big data technology can be applied to unstructured data analysis, mining, massive real-time monitori...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/11G10L25/66G06K9/00G06K9/62G06F16/783H04N5/76G08B25/00
CPCA61B5/1101G10L25/66G06F16/784H04N5/76G08B25/00G06V40/166G06V40/20G06F18/24
Inventor 周文举韩小飞费敏锐王海宽何钰
Owner SHANGHAI UNIV
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