CN109171740A - Intelligent physical examination machine and its gait detection method with gait detection - Google Patents
Intelligent physical examination machine and its gait detection method with gait detection Download PDFInfo
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- CN109171740A CN109171740A CN201810838182.8A CN201810838182A CN109171740A CN 109171740 A CN109171740 A CN 109171740A CN 201810838182 A CN201810838182 A CN 201810838182A CN 109171740 A CN109171740 A CN 109171740A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/112—Gait analysis
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Abstract
The present invention discloses a kind of intelligent physical examination machine and its gait detection method with gait detection, which includes: the physical-examination machine ontology with computer, walking simulator, video acquisition device and operate in Gait Recognition and processing routine on the computer of physical-examination machine ontology;The walking simulator establishes gait data library for acquiring gait sample;The video acquisition device obtains the gait video information of tester, and gait video information is sent to computer;The computer load Gait Recognition and processing routine identify the gait video information of acquisition, are handled, obtain corresponding gait feature, and compare it in the match condition in gait data library: a certain gait data in gait feature matching gait data library, then computer provides prompt information.Gait Recognition of the present invention is applied on intelligent physical examination machine, it is intended to from finding in identical walking behavior and extracting the variation characteristic between individual, to realize automatic identification.
Description
Technical field
The present invention relates to intelligent physical examination machine, in particular to a kind of intelligent physical examination machine with gait detection and its gait detection side
Method.
Background technique
Physical-examination machine merges a variety of means of testing, and integrated height, data processing are unified clear, and tester is facilitated to understand entire test
As a result, therefore by extensive popularization and application.Existing physical-examination machine is to pay attention to contact tester to detect health mostly
Parameter lacks using how the means of contactless intelligence test make physical examination in today that artificial intelligence is increasingly newly contained
Machine has the function of that intelligent physical examination is a completely new project, and gait, which is especially detected introducing physical-examination machine, yet there are no related report
Road is researched and developed the present invention is based on this.
Summary of the invention
In view of the problems of the existing technology, the present invention provide it is a kind of with gait detection intelligent physical examination machine and its gait inspection
Survey method.
To achieve the above object, the specific technical solution of the present invention is as follows:
A kind of intelligent physical examination machine with gait detection, comprising: physical-examination machine ontology, walking simulator with computer, view
Frequency acquisition device and operate in Gait Recognition and processing routine on the computer of physical-examination machine ontology;
The walking simulator establishes gait data library for acquiring gait sample;
The video acquisition device obtains the gait video information of tester, and gait video information is sent to calculating
Machine;
The computer load Gait Recognition and processing routine identify the gait video information of acquisition, are handled, and obtain
Corresponding gait feature is taken, and compares its match condition in gait data library:
A certain gait data in gait feature matching gait data library, then computer provides prompt information;
When gait feature mismatch, then the walking simulator continue acquire gait sample carry out matching comparison.
Preferably, the Gait Recognition and processing routine include: Method of Gait Feature Extraction module, processing and contrast module, step
State recognition result module;The Method of Gait Feature Extraction module obtains gait feature for handling gait video information;The processing
Current gait feature is compared with gait data library with contrast module, and comparison result is fed back into Gait Recognition result mould
Block.
Preferably, the video acquisition device is monitor camera.
Preferably, which further includes an alarm, for exporting when in gait feature matching gait data library
A certain gait data when the prompt information that provides of computer.
In addition, the present invention also provides a kind of gait detection methods of intelligent physical examination machine, comprising the following steps:
(1), walking simulator acquires gait sample, the calculating establishing gait data library and being stored in physical-examination machine main body
In machine;
(2), video acquisition device obtains the gait video information of tester, and gait video information is sent to calculating
Machine;
(3), computer load Gait Recognition and processing routine identify the gait video information of acquisition, are handled, and obtain
Corresponding gait feature is taken, and compares its match condition in gait data library:
A certain gait data in gait feature matching gait data library, then computer provides prompt information;
When gait feature mismatches, then (1) repetition that gos to step starts.
Preferably, in step (3), the Gait Recognition and processing routine include: Method of Gait Feature Extraction module, processing with it is right
Than module, Gait Recognition object module;It is special to obtain gait for handling gait video information for the Method of Gait Feature Extraction module
Sign;Current gait feature is compared by the processing with contrast module with gait data library, and comparison result is fed back to step
State recognition result module.
Preferably, in step (2), the video acquisition device is monitor camera.
Preferably, which further includes an alarm, for exporting when in gait feature matching gait data library
A certain gait data when the prompt information that provides of computer.
Using technical solution of the present invention, have the advantages that
(1), Gait Recognition is applied on intelligent physical examination machine, it is intended to individual is found and extracted from identical walking behavior
Between variation characteristic, to realize automatic identification;
(2), the health parameters that existing physical-examination machine obtains are enriched so that the health control of people more comprehensively, it is three-dimensional;
(3), the technology disclosed through the invention can establish gait feature big data, inconvenient in face, fingerprint collecting
When, preferable application can be obtained.
Detailed description of the invention
Fig. 1 is the principle of the present invention block diagram;
Fig. 2 is Gait Recognition and processing routine functional block diagram in the present invention;
Fig. 3 is gait overhaul flow chart in the present invention.
Specific embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is further described.
Referring to figs. 1 to shown in Fig. 2, the present invention provides a kind of intelligent physical examination machine with gait detection, comprising: band computer 11
Physical-examination machine ontology 10, walking simulator 20, video acquisition device 30 and operate in 11 on the computer of physical-examination machine ontology 10
Gait Recognition and processing routine 111;
The walking simulator 20 establishes gait data library for acquiring gait sample;
The video acquisition device 30 obtains the gait video information of tester, and gait video information is sent to calculating
Machine 11;
The gait video information that the computer load Gait Recognition is obtained with 111 Duis of processing routine is identified, is handled,
Corresponding gait feature is obtained, and compares its match condition in gait data library:
A certain gait data in gait feature matching gait data library, then computer 11 provides prompt information;
When gait feature mismatch, then the walking simulator 20 continue acquire gait sample carry out matching comparison.
Wherein, the Gait Recognition and processing routine 111 include: Method of Gait Feature Extraction module 111a, processing and comparison mould
Block 111b, Gait Recognition object module 111c;The Method of Gait Feature Extraction module 111a is obtained for handling gait video information
Gait feature;Current gait feature is compared by the processing with contrast module 111b with gait data library, and will compare knot
Fruit feeds back to Gait Recognition object module 111c.
The video acquisition device 20 is monitor camera.
The intelligent physical examination machine further includes an alarm 40, for exporting when a certain in gait feature matching gait data library
The prompt information that computer 11 provides when gait data.
With reference to Fig. 3, the present invention also provides a kind of gait detection methods of intelligent physical examination machine, comprising the following steps:
S1: walking simulator acquires gait sample, the calculating establishing gait data library and being stored in physical-examination machine main body
In machine;
S2: video acquisition device obtains the gait video information of tester, and gait video information is sent to computer;
S3: computer load Gait Recognition and processing routine identify the gait video information of acquisition, are handled, and obtain
Corresponding gait feature, and compare its match condition in gait data library:
S301: a certain gait data in gait feature matching gait data library, then computer provides prompt information;
S302: when gait feature mismatches, then the S1 that gos to step repeats to start.
Wherein, in step S3, the Gait Recognition and processing routine include: Method of Gait Feature Extraction module, processing and comparison
Module, Gait Recognition object module;The Method of Gait Feature Extraction module obtains gait feature for handling gait video information;
Current gait feature is compared by the processing with contrast module with gait data library, and comparison result is fed back to gait and is known
Other object module.
In step S2, the video acquisition device is monitor camera.
The intelligent physical examination machine further includes an alarm, for exporting a certain step worked as in gait feature matching gait data library
The prompt information that computer provides when state data.
In the present invention, walking simulator 20 can walk for the belt-type being integrally designed with the intelligent physical examination machine or running
Device, while which acquires for gait video sequence (gait video information), the data that can be run with acquisition and recording are simultaneously
Record is in a computer.
The above description is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all at this
Under the inventive concept of invention, using equivalent structure transformation made by description of the invention and accompanying drawing content, or directly/use indirectly
It is included in other related technical areas in scope of patent protection of the invention.
Claims (8)
1. a kind of intelligent physical examination machine with gait detection characterized by comprising physical-examination machine ontology, walking mould with computer
Quasi- device, video acquisition device and operate in Gait Recognition and processing routine on the computer of physical-examination machine ontology;
The walking simulator establishes gait data library for acquiring gait sample;
The video acquisition device obtains the gait video information of tester, and gait video information is sent to computer;
The computer load Gait Recognition and processing routine identify the gait video information of acquisition, are handled, acquisition pair
The gait feature answered, and compare its match condition in gait data library:
A certain gait data in gait feature matching gait data library, then computer provides prompt information;
When gait feature mismatch, then the walking simulator continue acquire gait sample carry out matching comparison.
2. the intelligent physical examination machine according to claim 1 with gait detection, which is characterized in that the Gait Recognition and processing
Program includes: Method of Gait Feature Extraction module, processing and contrast module, Gait Recognition object module;The Method of Gait Feature Extraction mould
Block obtains gait feature for handling gait video information;The processing and contrast module are by current gait feature and gait number
It is compared according to library, and comparison result is fed back into Gait Recognition object module.
3. the intelligent physical examination machine according to claim 1 with gait detection, which is characterized in that the video acquisition device is
Monitor camera.
4. the intelligent physical examination machine according to claim 1 with gait detection, which is characterized in that the intelligent physical examination machine further includes
One alarm, for exporting the prompt letter that computer provides when gait feature matches a certain gait data in gait data library
Breath.
5. a kind of gait detection method of intelligent physical examination machine, which comprises the following steps:
(1), walking simulator acquires gait sample, the computer establishing gait data library and being stored in physical-examination machine main body
In;
(2), video acquisition device obtains the gait video information of tester, and gait video information is sent to computer;
(3), computer load Gait Recognition and processing routine identify the gait video information of acquisition, are handled, acquisition pair
The gait feature answered, and compare its match condition in gait data library:
A certain gait data in gait feature matching gait data library, then computer provides prompt information;Work as gait feature
It mismatches, then (1) repetition that gos to step starts.
6. the gait detection method of intelligent physical examination machine according to claim 5, which is characterized in that in step (3), the step
State identification and processing routine include: Method of Gait Feature Extraction module, processing and contrast module, Gait Recognition object module;The step
State characteristic extracting module obtains gait feature for handling gait video information;The processing and contrast module are by current gait
Feature is compared with gait data library, and comparison result is fed back to Gait Recognition object module.
7. the gait detection method of intelligent physical examination machine according to claim 5, which is characterized in that in step (2), the view
Frequency acquisition device is monitor camera.
8. the gait detection method of intelligent physical examination machine according to claim 5, which is characterized in that the intelligent physical examination machine also wraps
An alarm is included, for exporting the prompt that computer provides when gait feature matches a certain gait data in gait data library
Information.
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN110151190A (en) * | 2019-05-23 | 2019-08-23 | 西南科技大学 | A kind of orthopaedics postoperative rehabilitation monitoring method and system |
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CN107080524A (en) * | 2017-05-22 | 2017-08-22 | 福州米鱼信息科技有限公司 | Intelligent physical examination all-in-one |
CN107766819A (en) * | 2017-10-18 | 2018-03-06 | 陕西国际商贸学院 | A kind of video monitoring system and its real-time gait recognition methods |
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US20110190667A1 (en) * | 2003-04-03 | 2011-08-04 | Majd Alwan | Method and System for the Derivation of Human Gait Characteristics and Detecting Falls Passively from Floor Vibrations |
CN103377366A (en) * | 2012-04-26 | 2013-10-30 | 哈尔滨工业大学深圳研究生院 | Gait recognition method and system |
KR20180053959A (en) * | 2016-11-14 | 2018-05-24 | 남서울대학교 산학협력단 | A system for gait realignment |
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Application publication date: 20190111 |