Medical auxiliary system based on human body model recognition

A medical assistance and human body model technology, which is applied in the field of medical assistance systems based on human body model recognition, can solve the problems of not effectively reducing the workload of doctors, and the auxiliary role is small, so as to reduce the occurrence of misjudgment of the disease, the auxiliary data is accurate, and the auxiliary function is small. Reduce the effect of analytical processing

Pending Publication Date: 2021-02-12
安徽动感智能科技有限公司
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is: how to solve the problem that the existing medical assistance system plays a small auxiliary role in the use process, does not effectively reduce the workload of doctors, and brings a certain impact on the use of the system. Provides a medical assistance system based on body model recognition

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  • Medical auxiliary system based on human body model recognition
  • Medical auxiliary system based on human body model recognition
  • Medical auxiliary system based on human body model recognition

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Embodiment Construction

[0042] The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following implementation example.

[0043] Such as Figure 1~2 As shown, this embodiment provides a technical solution: a medical assistance system based on human body model recognition, including an image acquisition module, an image receiving module, a model generation module, a master control module and an auxiliary module;

[0044] The image acquisition module is used to collect patient body image information, the image receiving module is used to receive patient body image information, and send the patient body image information to the model generation skeleton module, and the master control system after the skeleton model is generated The modu...

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Abstract

The invention discloses a medical auxiliary system based on human body model recognition. The medical auxiliary system comprises an image acquisition module, an image receiving module, a model generation module, a master control module and an auxiliary module, wherein the image acquisition module is used for acquiring patient human body image information, the image receiving module is used for receiving the patient human body image information and sending the patient human body image information to the model generation skeleton module, and the master control module controls the auxiliary module to generate medical auxiliary data after the skeleton model is generated; when the image acquisition module acquires image information of a patient, skeleton tracking is carried out, a skeleton model can be finally formed only through four stages of depth image acquisition, human body discovery, human body part recognition and human body joint recognition in skeleton tracking, the skeleton recognition process is completed, and the depth images comprise figures standing in front of a machine and scenes of the figures. The system can reduce the workload of doctors in medical diagnosis throughhuman body model recognition, and is more worthy of popularization and application.

Description

technical field [0001] The invention relates to the field of medical assistance, in particular to a medical assistance system based on human body model recognition. Background technique [0002] Human body recognition is a research hotspot in recent years, and it is widely used in the fields of human-computer intelligent interaction, virtual reality and intelligent monitoring. In the field of medical rehabilitation, the use of existing robot-assisted rehabilitation is costly, expensive and requires a designated rehabilitation location, while traditional manual rehabilitation is in short supply. The use of motion recognition technology for medical assistance has become a general trend. It obtains disease information through patients completing specified actions, and medical assistance system components are used to assist in data collection when the doctor mirror is used for medical diagnosis. [0003] The existing medical assistance system plays a small auxiliary role in the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G06T7/00G06K9/00
CPCG16H50/20G06T7/0012G06T2207/30008G06V40/10
Inventor 李锋刚
Owner 安徽动感智能科技有限公司
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