CN109448845A - The system for identifying health status by facial characteristics - Google Patents
The system for identifying health status by facial characteristics Download PDFInfo
- Publication number
- CN109448845A CN109448845A CN201710769817.9A CN201710769817A CN109448845A CN 109448845 A CN109448845 A CN 109448845A CN 201710769817 A CN201710769817 A CN 201710769817A CN 109448845 A CN109448845 A CN 109448845A
- Authority
- CN
- China
- Prior art keywords
- user
- processing module
- information
- module
- facial
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000001815 facial effect Effects 0.000 title claims abstract description 34
- 230000003862 health status Effects 0.000 title claims abstract description 21
- 230000007474 system interaction Effects 0.000 claims abstract description 24
- 238000013500 data storage Methods 0.000 claims abstract description 23
- 238000001514 detection method Methods 0.000 claims abstract description 19
- 238000000034 method Methods 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 claims description 5
- 239000000284 extract Substances 0.000 claims description 4
- 230000008569 process Effects 0.000 claims description 4
- 230000002452 interceptive effect Effects 0.000 claims description 3
- 238000006243 chemical reaction Methods 0.000 claims description 2
- 238000000605 extraction Methods 0.000 claims description 2
- 238000005286 illumination Methods 0.000 claims description 2
- 238000003745 diagnosis Methods 0.000 description 9
- 201000010099 disease Diseases 0.000 description 6
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 6
- 230000036541 health Effects 0.000 description 6
- 210000000056 organ Anatomy 0.000 description 4
- 230000036772 blood pressure Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000003814 drug Substances 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 206010023126 Jaundice Diseases 0.000 description 1
- 241000700647 Variola virus Species 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 238000009825 accumulation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 230000036760 body temperature Effects 0.000 description 1
- 230000003750 conditioning effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 230000003902 lesion Effects 0.000 description 1
- 150000002632 lipids Chemical class 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000004321 preservation Methods 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Oral & Maxillofacial Surgery (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention discloses a kind of systems for identifying health status by facial characteristics, comprising: user and system interaction device, big data store processing module；The user and system interaction device are connected with big data storage processing module；It include face detection module, image processing module and user information feedback module in the user and system interaction device.The present invention can provide the user with the prediction of current and future health status by obtaining the facial information feature of people.
Description
Technical field
The present invention relates to medicine detection technique, in particular to a kind of system that health status is identified by facial characteristics.
Background technique
The physical condition of people is often embodied in the face of people, including five features and face, and existing medical supply is more
Number is all the physical features such as blood pressure, blood lipid, cell content etc. for detecting human body, although the physical condition detection for people can ratio
It is more direct but more troublesome, and the detection of feature is often lagged, i.e., it can just find the problem after medical treatment.
In theory of medicine, human body face organ corresponds to the organ of body corresponding site.Wherein, the face of human body face organ
Color and the certain diseases or abnormal appearance for changing its corresponding corresponding organ.Such as: the small pox of human face's different parts occurs, and reflects body
There is lesion, the variation of human face's face in body different parts, and pale or jaundice also maps the unmentionable disease of body.
Present human lives' operating pressure is increasing, and the indisposition on bring body, minor issue etc. are also more next therewith
It is more.But these potential small diseases are seldom paid close attention to by everybody, or seldom can just go to hospital because of some minor issues.It is practical
On, many diseases are can have many external manifestations on human body in the early stage, if we pay close attention to body in time passes to us
These warning information, in time conditioning or treatment, be to be easy to nip in the bud many diseases.The body of let us is more
Add health, it is beautiful.
Summary of the invention
Technical problem to be solved by the invention is to provide a kind of systems for identifying health status by facial characteristics, can lead to
The facial photo feature for crossing acquisition people provides the user with the prediction of current and future health status.
In order to solve the above technical problems, the present invention provides a kind of system for identifying health status by facial characteristics,
It include: user and system interaction device, big data storage processing module；The user and system interaction device, with the big number
It is connected according to storage processing module；It include face detection module, image processing module in the user and system interaction device
With user information feedback module.
The beneficial effect of the system of the present invention that health status is identified by facial characteristics is: can be by obtaining people
Facial photo feature provide the user with the prediction of current and future health status.
It preferably, in the user and the face detection module in system interaction device include illumination light source and photosensitive
Sensor；The face detection module is irradiated to user's face by light source, which can realize the natural colour developing of facial characteristics
Reduction, while user's face characteristic information is obtained by photosensitive sensor.
Preferably, the image processing module in the user and system interaction device, will be acquired in face detection module
Facial information obtains the information under unified state by conversion process.
Preferably, the big data storage processing module includes to test and analyze submodule and data storage classification processing mould
Block；Detection and analysis module in the big data storage processing module, utilizes the face generated in user and system interaction device
Information by extraction, is converted and calculates physical condition characteristic value；Then it stores to sort out to retrieve in processing module from data and compare
Difference sorts out the mode of physical trait, and predicts the physical trait state of active user；Then sort out, while being deposited by data
Storage sorts out processing module and saves facial information to corresponding physical condition feature class；In the big data storage processing module
Processing module is sorted out in data storage, and the facial digital picture to user and physical trait at that time store, to similar
The characteristic value that physical trait carries out model identical is extracted again, refilters and is updated again, and updated homogenous characteristics value is saved
In the information bank of homogenous characteristics.
Preferably, the user and system interaction device, include information feedback module, and user provides currently practical body
Characteristic information and categorizing information feed back to big data storage processing module；Big data stores processing module, utilizes user and system
Physical characteristic information provided by information feedback module and categorizing information update corresponding user information in interactive device, to similar
The characteristic value that physical trait carries out model identical is extracted again, refilters and is updated again, and updated homogenous characteristics value is saved
In the information bank of homogenous characteristics.
Detailed description of the invention
Invention is further described in detail with reference to the accompanying drawings and detailed description.
Fig. 1 is the schematic diagram of the system embodiment one of the invention that health status is identified by facial characteristics.
Fig. 2 is the schematic diagram of the system embodiment two of the invention that health status is identified by facial characteristics.
Specific embodiment
Embodiment one,
The present invention provides a kind of systems for identifying health status by facial characteristics, can pass through the facial photo of acquisition people
Feature provides the user with the prediction of current and future health status.The present invention provides through big data storage processing module and use
Family and system interaction module, big data storage and processing module are connected with user with system interaction module；User and system interaction
It include face detection module, image processing module and user information feedback module in device；Big data stores processing module, packet
Sort out processing module containing detection and analysis submodule and data storage.
As shown in Figure 1, user and system interaction device can acquire the face of user by its internal face detection module
Information, by the image processing module inside the device, for passing through processing for mug shot acquired in face detection module
Obtain the information under unified state.Include inspection in the big data storage processing module of facial characteristics identification health status system
It surveys analysis submodule and processing module is sorted out in data storage；By the detection and analysis module, for being filled to user and system interaction
It sets extracted facial information to be extracted, converted and calculated physical condition characteristic value, then stores and processs mould from data
Retrieval compares the different modes for sorting out physical trait in block, and predicts the physical trait state of active user, then sorts out, together
When stored by data and sort out processing module and save facial information to corresponding physical condition feature class；The user and system
Interactive device, includes information feedback module, and user provides currently practical physical characteristic information and categorizing information, feeds back to big number
According to storage processing module；Big data stores processing module, is provided using user and information feedback module in system interaction device
Physical characteristic information and categorizing information update corresponding user information, the characteristic value of model identical is carried out to similar physical trait
It extracts, refilter and updates again again, and will be in the information bank of updated homogenous characteristics value preservation homogenous characteristics.
Embodiment two,
It may include human-face detector, image processing module, diagnosis feedback module, synthesis as the refinement of embodiment one
Diagnostic module and data storage and analysis module；The human-face detector is connected with image processing module；Described image handles mould
Block, diagnosis feedback module are connected with comprehensive diagnosis module, and comprehensive diagnosis module is connected with data storage processing module；
In the present embodiment, user and system interaction module are decomposed into human-face detector and image processing module tests and analyzes
Module；Diagnosing storage and processing decomposition module with big data is that comprehensive diagnosis module and data store and process module；Face inspection
It surveys device and the facial digital information under unified state, these faces is obtained by processing for obtaining mug shot, image processing module
Portion's digital information, is supplied to comprehensive diagnosis module, and comprehensive diagnosis module extracts facial information, converted and calculated body
State characteristic value, then retrieval compares the different modes for sorting out physical trait from data storage and processing module, and predicts
The physical trait state of active user, then sorts out, and retrieves and compare the different modes for sorting out physical trait, and predicts current
The physical trait state of user, while facial digital picture being saved and being sorted out；The diagnosis feedback module, by described in this
Module user provides currently practical physical characteristic information and categorizing information, by comprehensive diagnosis module, to similar physical trait
The characteristic value for carrying out model identical is extracted again, refilters and is updated again, and updated homogenous characteristics value is supplied to data and is deposited
Storage and processing module are saved into the information bank of homogenous characteristics.
Big data of the present invention refers to the set of the health data of capture, management and processing, be have stronger decision edge,
See clearly magnanimity, high growth rate and the diversified information assets of discovery power and process optimization ability.The present invention is big to these health
Data are handled and are utilized.These healthy big datas have that the scale of construction is huge, many kinds of, data are true, processing speed is fast
Feature.Healthy big data has long-term duration, can continuously monitor health indicator in long time, leads to
The accumulation of prolonged health data is crossed, a possibility that certain disease that Accurate Prediction future suffers from.
The system of the present invention for identifying health status by facial characteristics can also be identified with other biological feature to be filled
It sets and combines, the data such as acquisition human blood-pressure, body temperature, heartbeat, in conjunction with the feature that face recognition obtains, comprehensive descision human health
Situation.
The present invention is not limited to embodiments discussed above.The description of specific embodiment is intended to above in order to retouch
State and illustrate technical solution of the present invention.The obvious transformation or substitution enlightened based on the present invention should also be as being considered
Fall into protection scope of the present invention.Above specific embodiment is used to disclose best implementation method of the invention, so that this
The those of ordinary skill in field can reach of the invention using numerous embodiments of the invention and a variety of alternatives
Purpose.
Claims (5)
1. a kind of system for identifying health status by facial characteristics characterized by comprising user and system interaction device,
Big data stores processing module；
The user and system interaction device are connected with big data storage processing module；
It include face detection module, image processing module and user information feedback mould in the user and system interaction device
Block.
2. it is according to claim 1 by facial characteristics identify health status system, which is characterized in that the user with
It include illumination light source and photosensitive sensor in face detection module in system interaction device；
The face detection module is irradiated to user's face by light source, which can realize the natural colour developing of facial characteristics also
Original, while user's face characteristic information is obtained by photosensitive sensor.
3. it is according to claim 1 by facial characteristics identify health status system, which is characterized in that the user with
Image processing module in system interaction device obtains facial information acquired in face detection module by conversion process
Information under unified state.
4. the system according to claim 1 for identifying health status by facial characteristics, which is characterized in that the big data
Storage processing module includes to test and analyze submodule and data storage classification processing module；
Detection and analysis module in the big data storage processing module, utilizes the face generated in user and system interaction device
Information by extraction, is converted and calculates physical condition characteristic value；
Then it is stored from data and sorts out the different modes for sorting out physical traits of retrieval comparison in processing module, and predict current use
The physical trait state at family；
Then sort out, while storing classification processing module by data and saving facial information to corresponding physical condition feature
Class；
Processing module is sorted out in data storage in big data storage processing module, facial digital picture to user and
Physical trait at that time is stored, and the characteristic value for carrying out model identical to similar physical trait extracts again, refilters and again more
Newly, and by updated homogenous characteristics value in the information bank for saving homogenous characteristics.
5. the system for identifying health status by facial characteristics according to right 1, which is characterized in that the user and system
Interactive device, includes information feedback module, and user provides currently practical physical characteristic information and categorizing information, feeds back to big number
According to storage processing module；
Big data stores processing module, is believed using physical trait provided by information feedback module in user and system interaction device
Breath and categorizing information update corresponding user information, the characteristic value for carrying out model identical to similar physical trait extracts again, after
It filters and updates again, and updated homogenous characteristics value is saved in the information bank of homogenous characteristics.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710769817.9A CN109448845A (en) | 2017-08-31 | 2017-08-31 | The system for identifying health status by facial characteristics |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710769817.9A CN109448845A (en) | 2017-08-31 | 2017-08-31 | The system for identifying health status by facial characteristics |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109448845A true CN109448845A (en) | 2019-03-08 |
Family
ID=65529997
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710769817.9A Pending CN109448845A (en) | 2017-08-31 | 2017-08-31 | The system for identifying health status by facial characteristics |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109448845A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112967822A (en) * | 2021-04-19 | 2021-06-15 | 广东兴睿科技有限公司 | Remote medical inquiry method, system and readable storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104361208A (en) * | 2014-10-23 | 2015-02-18 | 深圳市中兴移动通信有限公司 | Health evaluation method and device |
| CN105868561A (en) * | 2016-04-01 | 2016-08-17 | 乐视控股（北京）有限公司 | Health monitoring method and device |
| CN205540736U (en) * | 2016-04-07 | 2016-08-31 | 新绎健康科技有限公司 | Collection system of health condition data |
| CN106419864A (en) * | 2015-08-05 | 2017-02-22 | 南开大学 | Cloud expert system for TCM diagnosis |
-
2017
- 2017-08-31 CN CN201710769817.9A patent/CN109448845A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104361208A (en) * | 2014-10-23 | 2015-02-18 | 深圳市中兴移动通信有限公司 | Health evaluation method and device |
| CN106419864A (en) * | 2015-08-05 | 2017-02-22 | 南开大学 | Cloud expert system for TCM diagnosis |
| CN105868561A (en) * | 2016-04-01 | 2016-08-17 | 乐视控股（北京）有限公司 | Health monitoring method and device |
| CN205540736U (en) * | 2016-04-07 | 2016-08-31 | 新绎健康科技有限公司 | Collection system of health condition data |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112967822A (en) * | 2021-04-19 | 2021-06-15 | 广东兴睿科技有限公司 | Remote medical inquiry method, system and readable storage medium |
| CN112967822B (en) * | 2021-04-19 | 2022-03-04 | 广东兴睿科技有限公司 | Remote medical inquiry method, system and readable storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105393252B (en) | Physiological data collection and analysis | |
| CN107403072A (en) | A kind of diabetes B prediction and warning method based on machine learning | |
| CN105877709A (en) | Health condition data acquisition device, health condition data acquisition analysis system and method | |
| CN110584601A (en) | Method for monitoring and evaluating cognitive function of old people | |
| CN111951965B (en) | Panoramic health dynamic monitoring and predicting system based on time sequence knowledge graph | |
| CN209232420U (en) | A kind of intelligence delirium assessment device | |
| CN109119172B (en) | Human behavior detection method based on bee colony algorithm | |
| CA2862333A1 (en) | Systems and methods for automatic segment selection for multi-dimensional biomedical signals | |
| CN111696633A (en) | Disease prevention and control service system and method based on community health big data | |
| CN113317761A (en) | Data analysis system | |
| CN109978873A (en) | A kind of intelligent physical examination system and method based on Chinese medicine image big data | |
| CN103619240B (en) | For determining HRV and RRV and the method and system for identifying potential disease outbreak | |
| Tang et al. | Deep adaptation network for subject-specific sleep stage classification based on a single-lead ECG | |
| CN109785964A (en) | A kind of health evaluating method, health evaluating device and computer readable storage medium | |
| CN105593860B (en) | For determining the device and patient health condition determiner of composite score distribution | |
| CN109346164A (en) | A kind of automatic acquisition equipment and method of tcm clinical practice case | |
| Benbelkacem et al. | A data mining-based approach to predict strain situations in hospital emergency department systems | |
| CN109448845A (en) | The system for identifying health status by facial characteristics | |
| CN109907751A (en) | A kind of laboratory pectoralgia data inspection based on artificial intelligence supervised learning assists in identifying method | |
| Li et al. | Benchmarking domain generalization on EEG-based emotion recognition | |
| CN109350009A (en) | A kind of health monitoring mobile phone based on face | |
| CN115317304A (en) | Intelligent massage method and system based on physiological characteristic detection | |
| CN112233806A (en) | Full-information auxiliary diagnosis and treatment method and system | |
| CN110415778A (en) | A kind of individual health data management method and system based on cloud data | |
| CN106919775B (en) | A kind of processing method and processing device of sleep info |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20190308 |