CN104952023A - Health information management method and system based on mobile computing - Google Patents
Health information management method and system based on mobile computing Download PDFInfo
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- CN104952023A CN104952023A CN201510300808.6A CN201510300808A CN104952023A CN 104952023 A CN104952023 A CN 104952023A CN 201510300808 A CN201510300808 A CN 201510300808A CN 104952023 A CN104952023 A CN 104952023A
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Abstract
The invention relates to a health information management method and system based on mobile computing and aims to solve the problem of how to manage user health information effectively for a long time to avoid limitation on storage capacity and processing capacity of a mobile terminal itself and the problem of expanding application range of health management. The health information management method includes: utilizing a mobile terminal to collect health information; uploading the health information to a service side, and storing, recognizing and classifying the health information to form a health information database. Due to multifunctionality of the mobile terminal, information can be collected through different health information acquiring modes and different media, and the health information database is formed on the service side, so that convenience is brought to managing medical health effectively for a long time. The service side is adopted to store and process the health information, so that the problem that storing capacity and processing capacity of the mobile terminal itself are limited is avoided. Application range of health management is expanded due to universality of the mobile terminal.
Description
Technical field
The present invention relates to a kind of health information management method based on mobile computing and system.
Background technology
Along with the fast development of mobile communication technology, portable medical has started the hot issue becoming academia and medical industry.So-called portable medical refers to and provides medical services and information by mobile communication technology and equipment, its maximum feature be can provide anywhere or anytime, pervasive medical services.For this reason, much arise at the historic moment based on the health information management service of mobile computing.
At present, the realization based on the health information management service of mobile computing faces some challenges, has following defect:
(1) limitation of the storage capacity of mobile device itself and processing power, security and control of authority etc.
(2) study and practice of portable medical is comparatively partial to serve larger medical mechanism at present, and seldom the specialist clinic of One's name is legion, traditional chinese medical science clinic, pharmacy or domestic consumer is taken into account.
(3) current, user obtains laboratory test report, diagnostic result by medical institutions, and health and fitness information is kept in paper.Meanwhile, by mobile terminal gather respectively user under normal circumstances with voice sound information during morbidity, also gather the electronic data such as heartbeat, blood pressure by Wearable, health and fitness information is kept in electronic device memory.Owing to obtaining the mode of health and fitness information and to protect stored medium varied, more scattered, not easily permanently effective management, also easily lose and forget.
Summary of the invention
Technical matters to be solved by this invention is how permanently effective leading subscriber health and fitness information, avoids the storage capacity of mobile terminal itself and the limited problem of processing power, the scope of application of expansion health control.
For solving the problems of the technologies described above, the invention provides a kind of health information management method based on mobile computing and system.Described method comprises:
Utilize mobile terminal to gather health and fitness information, and described health and fitness information is uploaded to service end;
The health and fitness information reaching service end is stored, identifies and classified, forms health and fitness information database.
Further, the described mobile terminal that utilizes gathers health and fitness information, comprising:
Utilize the health and fitness information on the skin information of the image acquisition device user of mobile terminal or paper document, form image document; And/or
Utilize the health and fitness information that the voice acquisition device collection user of mobile terminal gives an oral account, form voice messaging; And/or
Utilize the voice sound information of the described voice acquisition device collection user of mobile terminal; And/or
Utilize the health and fitness information on the healthy equipment of mobile terminal collection Wearable.
Further, the described health and fitness information to reaching service end identifies, comprising:
Be partitioned into the effective document areas in the described image document of paper document formation, and image distortion correction is carried out to described effective document areas;
Printed page analysis is carried out to described image document, obtains Doctype, and according to described Doctype, piecemeal is carried out to the effective document areas after distortion correction, obtain subregion;
Cutting is carried out to every sub regions, obtains multiple block, utilize recognition engine text to identify described block.
Further, describedly according to described Doctype, piecemeal is carried out to the effective document areas after distortion correction, comprising:
For the image document that Doctype is single hurdle, the horizontal length finding the effective document areas after distortion correction is greater than the first cut-off rule of the first predetermined threshold, utilizes the first cut-off rule to this effective document areas piecemeal;
For the image document that Doctype is two hurdle, the horizontal length finding the effective document areas after distortion correction is greater than the 3rd cut-off rule that the second cut-off rule of the second predetermined threshold and vertical width are greater than the 3rd predetermined threshold, utilizes the second cut-off rule and the 3rd cut-off rule to carry out piecemeal to this effective document areas based on connected domain analysis method.
Further, described cutting is carried out to every sub regions, obtains multiple block, comprising:
Every sub regions is projected along y-axis, obtains column vector, according to described column vector, row cutting is carried out to this subregion;
The subregion obtained after row cutting is projected along x-axis, obtains row vector, according to described row vector to this subregion cutting, obtain block.
Further, the described recognition engine text that utilizes identifies described block, comprising:
Construct and train the medical vocabulary information bank of recognition engine text;
By the terminology match in described block and described medical vocabulary information bank, using vocabulary the highest for matching degree as recognition result.
Further, the described health and fitness information to reaching service end identifies, comprising:
Voice messaging user being given an oral account to formation carries out pre-service;
Feature extraction is carried out to pretreated voice messaging, obtains characteristic parameter;
Described characteristic parameter is generated test template, the reference template of test template with reference template storehouse is mated, using reference template the highest for matching degree as recognition result.
This system comprises:
Acquisition module, gathers health and fitness information for utilizing mobile terminal;
Transport module, for being uploaded to service end by described health and fitness information;
Database management module, for storing the health and fitness information reaching service end, identifying and classify, forms health and fitness information database.
Further, described acquisition module comprises image document collecting unit, the health and fitness information of described image document collecting unit on the image acquisition device paper document utilizing mobile terminal or the skin information of user, forms image document;
Described database management module comprises recognition unit, and described recognition unit is used for identifying the health and fitness information reaching service end, and described recognition unit comprises:
Segmentation correcting unit, for being partitioned into the effective document areas in the described image document of paper document formation, and carries out image distortion correction to described effective document areas;
Blocking unit, for carrying out printed page analysis to described image document, obtains Doctype, and carries out piecemeal according to described Doctype to the effective document areas after distortion correction, obtains subregion;
Cutting recognition unit, for carrying out cutting to every sub regions, obtains multiple block, utilizes recognition engine text to identify described block.
Further, described acquisition module comprises voice collecting unit, the health and fitness information that described voice collecting unit is given an oral account for utilizing the voice acquisition device collection user of mobile terminal, forms voice messaging;
Described database management module comprises recognition unit, and described recognition unit is used for identifying the health and fitness information reaching service end, and described recognition unit comprises:
Pretreatment unit, for carrying out pre-service to described voice messaging;
Feature extraction unit, for carrying out feature extraction to pretreated voice messaging, obtains characteristic parameter;
Matching unit, for described characteristic parameter is generated test template, mates the reference template of test template with reference template storehouse, using reference template the highest for matching degree as recognition result
The present invention has following beneficial effect:
(1) the present invention utilizes the health and fitness information of mobile terminal collection user, due to the multifunctionality of mobile terminal, can for different health and fitness information obtain manners and different medium Information Monitorings, and define health and fitness information database in service end, be convenient to for a long time, effectively medical treatment & health information managed.
(2) the present invention does not adopt mobile terminal to store health and fitness information, but adopts service end to carry out Storage and Processing to health and fitness information, avoids the storage capacity of mobile terminal itself and the limited problem of processing power.
(3) form due to mobile terminal is varied, comprising the most common also mobile phone, flat board, notebook the most widely, so the present invention is not only applicable to larger medical mechanism, be also applicable to the specialist clinic of One's name is legion, traditional chinese medical science clinic, pharmacy or domestic consumer.
(4) the present invention carries out taxonomic revision to the health and fitness information identified, and the standard of classification can be upload the date, also can be generic of physiological parameter in health and fitness information etc.After health and fitness information classification, be convenient to management and inquiry.
Accompanying drawing explanation
Can understanding the features and advantages of the present invention clearly by reference to accompanying drawing, accompanying drawing is schematic and should not be construed as and carry out any restriction to the present invention, in the accompanying drawings:
Fig. 1 shows the process flow diagram of the health information management method that the present invention is based on mobile computing;
Fig. 2 shows the structured flowchart of mobile terminal;
Fig. 3 shows the identification process figure of service end to health and fitness information;
Fig. 4 shows the structured flowchart of the health information management system that the present invention is based on mobile computing.
Embodiment
Below in conjunction with accompanying drawing, embodiments of the present invention is described in detail.
The invention provides a kind of health information management method based on mobile computing, as shown in Figure 1, 2, the method comprises:
Utilize mobile terminal to gather health and fitness information, described health and fitness information is uploaded to service end;
The health and fitness information reaching service end is stored, identifies and classified, forms health and fitness information database.
The beneficial effect that the method produces is:
(1) the present invention utilizes mobile terminal to gather health and fitness information, due to the multifunctionality of mobile terminal, can for different health and fitness information obtain manners and different medium Information Monitorings, and service end defines health and fitness information database, be convenient to long-term, effectively health and fitness information is managed.
(2) the present invention does not adopt mobile terminal to store health and fitness information, but adopts service end to carry out Storage and Processing to health and fitness information, avoids the storage capacity of mobile terminal itself and the limited problem of processing power.
(3) form due to mobile terminal is varied, comprising the most common also mobile phone, flat board, notebook the most widely, so the present invention is not only applicable to larger medical mechanism, also be applicable to the specialist clinic of One's name is legion, traditional chinese medical science clinic, pharmacy or domestic consumer, extend the scope of application of health control.
(4) the present invention carries out taxonomic revision to the health and fitness information identified, and the standard of classification can be upload the date, also can be generic of physiological parameter in health and fitness information etc., and the standard of concrete classification does not limit, can sets itself.After health and fitness information classification, be convenient to management and inquiry.
Further, because the preservation medium of the mode and health and fitness information that obtain health and fitness information is varied, the mode utilizing mobile terminal to gather health and fitness information also has multiple, such as:
When being obtained laboratory test report, medical certificate by medical institutions, health and fitness information is kept in paper.At this moment, utilize the health and fitness information on the skin information of the image acquisition device user of mobile terminal or paper document, form image document.
When describing health and fitness information by oral account mode, health and fitness information is voice signal.At this moment, utilize the health and fitness information that the voice acquisition device collection user of mobile terminal gives an oral account, form voice messaging.
Certainly, the voice sound information of voice acquisition device collection user can also be adopted.
When gathering the electronic data such as heartbeat, blood pressure by Wearable, health and fitness information is kept in electronic device memory.At this moment, the health and fitness information on the healthy equipment of mobile terminal collection Wearable is utilized.The mode such as bluetooth, wifi can be adopted to connect, to transmit health and fitness information between mobile terminal and the healthy equipment of Wearable.
Certainly, the information such as sensor collection campaign, time of mobile terminal self can also be utilized.
The method gathering the health and fitness information on paper document is as follows:
(1) application software of user installation mobile terminal health information management;
(2) user selects to enter paper document read mode, utilizes the health and fitness information on image collecting device such as camera collection paper document, and by the information displaying of collection on the screen of mobile terminal.
(3) gathered, health and fitness information has been uploaded to service end.
Certainly, before uploading, user can also carry out simple mutual to the image document of this locality, to reduce the pattern distortion of taking and causing.
In addition, before health and fitness information is uploaded, to health and fitness information encryption, information is protected.To the health and fitness information being uploaded to service end, no matter be image document, or voice messaging, can classify according to user ID or mobile terminal ID after identifying, form the health and fitness information database of individual, convenient quick, simple and extendible mode carried out to health and fitness information manage, so as data to be stored, the process such as identification.
Further, when by health and fitness information on the image acquisition device paper document of mobile terminal, need to identify the health and fitness information on the image document formed, as shown in Figure 3, this identifying comprises:
S1, be partitioned into effective document areas of described image document, and image distortion correction is carried out to described effective document areas.
Before it is split, service end can utilize effective document areas of the first detected image document of background processing module, then according to the characteristic of effective document areas and background area, utilizes the method for image procossing, is partitioned into effective document areas.After being partitioned into effective document areas, determine the size of effective document areas by Hough transform method.Wherein the method for image procossing comprises edge extracting, color analysis or/and be communicated with analysis.Image distortion correction can adopt projective transformation algorithm realization.
S2, printed page analysis is carried out to described image document, obtain Doctype, and according to described Doctype, piecemeal is carried out to the effective document areas after distortion correction, obtain subregion.
Printed page analysis is the important step of document process information, utilizes the result of printed page analysis to effective document areas piecemeal, is conducive to the further identification of complex documents, thus the piecemeal digitized important step that is paper document.
S3, cutting is carried out to every sub regions, obtain multiple block, utilize recognition engine text to identify described block.
Further, printed page analysis is the basis of piecemeal, and different according to the Doctype of image document, partition strategy is different.The type of image document comprises Dan Lan, Shuan Lan.For these two kinds of Doctypes, introduce partition strategy respectively:
For the image document that Doctype is single hurdle, the horizontal length finding the effective document areas after distortion correction is greater than the first cut-off rule of the first predetermined threshold, utilizes the first cut-off rule to this effective document areas piecemeal;
For the image document that Doctype is two hurdle, the horizontal length finding the effective document areas after distortion correction is greater than the 3rd cut-off rule that the second cut-off rule of the second predetermined threshold and vertical width are greater than the 3rd predetermined threshold, utilizes the second cut-off rule and the 3rd cut-off rule to carry out piecemeal to this effective document areas based on connected domain analysis method.
, the present invention is directed to the characteristic of medical files herein, carry out piecemeal.
Further, described cutting is carried out to every sub regions, obtains multiple block, comprising:
(1) every sub regions is projected along y-axis, obtain column vector, according to described column vector, row cutting is carried out to this subregion.
Carry out row cutting, exactly horizontal projection is done to the information of subregion, obtain column vector, according to the width of nonzero element adjacent in column vector, good row cutting can be realized.
(2) subregion obtained after row cutting is projected along x-axis, obtain row vector, according to described row vector to this subregion cutting, obtain block.
Carry out row cutting, exactly vertical projection is done to the subregion that row segments, obtain row vector, according to the width of nonzero element adjacent in row vector, realize good row cutting.After having carried out row cutting and row cutting, just obtain block.
Can identify with existing lexicon the block obtained, but the vocabulary of medical science has certain singularity after all, so preferably adopt medical vocabulary information bank, contribute to improving the accuracy identified.So the present invention identifies further restriction to utilizing recognition engine text to described block.Concrete identifying is:
(1) construct and train the medical vocabulary information bank of recognition engine text;
(2) by the terminology match in described block and described medical vocabulary information bank, using vocabulary the highest for matching degree as recognition result.
The present invention adopts and first trains the mode identified afterwards, and first structure is applicable to the lexicon of oneself, then utilizes this lexicon to identify, improves the accuracy rate of identification.Because medical vocabulary also can constantly change, so constantly can add and revise medical vocabulary information bank, improve constantly recognition accuracy.
Block and the vocabulary in medical vocabulary information bank being carried out the process of mating, is exactly the process of the similarity calculated between block and vocabulary in fact.To calculate editing distance, so-called editing distance refers between two word strings, changes into the minimum editing operation number of times needed for another by one.Common license editing operation comprises a character and replaces to another character, inserts a character, deletes a character.Now, the editing distance of vocabulary in recognition result and medical vocabulary information bank is calculated, using the block corresponding to the minimum value of editing distance as recognition result.
Further, when gathering the voice sound information of user, the voice sound information of collection is sampled, digitized to be greater than 40KHz high sampling rate, then through Lossless Compression, be uploaded to service end.
When the voice acquisition device by mobile terminal gathers the health and fitness information of user's oral account, service end needs to identify voice messaging, and this identifying comprises:
(1) pre-service is carried out to described voice messaging;
Wherein, pre-service mainly comprises the processes such as pre-filtering, sampling, quantification, windowing, end-point detection, pre-emphasis.
(2) feature extraction is carried out to pretreated voice messaging, obtain characteristic parameter;
Wherein, the characteristic parameter of extraction is wanted effectively to represent phonetic feature, has good distinction, has good independence between the parameter of each rank simultaneously.
(3) described characteristic parameter is generated test template, the reference template of test template with reference template storehouse is mated, using reference template the highest for matching degree as recognition result.
Wherein, the reference template in reference template storehouse is formed by above-mentioned pre-service, above-mentioned feature extraction by the voice signal of standard.Certainly, under the help of a lot of priori, the accuracy rate of identification can also be improved further.
Further, to the classification of health and fitness information, multiple mode classification can be had, such as:
(1) user ID or the Termination ID number of the image document uploaded according to user are classified.
User uploads to the file and picture on cloud server by mobile terminal, according to the recognition result that the processing module of cloud server obtains, it is carried out classifying according to No. ID of different user and is conducive to recording respectively the holistic health situation of individual, the personal health information of such high in the clouds difference store and management a large number of users.
(2) time on the file and picture uploaded according to mobile terminal classifies.
, according to the recognition result of parsing module, classifying according to time sequencing to the file and picture that user uploads in high in the clouds, is conducive to statistics and analysis and goes out state of an illness trend in certain time cycle.
(3) classify according to the hospital name in recognition result.
User is by uploading the file and picture of different hospitals to cloud server, and the interrogation situation of seeking medical advice of certain hospital effectively can be added up in high in the clouds, thus infers the medical amount of hospital.
(4) on the document uploaded according to mobile terminal, censorship sample is classified.
For censorship samples different in the file and picture that different user is uploaded, can classify according to censorship sample equally in high in the clouds, is conducive to like this concluding, analyzing possible diagnostic result.
(5) classify according to the hospital department in recognition result.
To classify according to section office's classification in high in the clouds, thus be conducive to the health and fitness information of store and management different user, make user obtain the information of reference value.
According to the health information management method based on mobile computing, constructing function module architectures, namely based on the health information management system of mobile computing.As shown in Figure 4, this system comprises:
Acquisition module, gathers health and fitness information for utilizing mobile terminal;
Transport module, for being uploaded to service end by described health and fitness information;
Database management module, for storing the health and fitness information reaching service end, identifying and classify, forms health and fitness information database.
Further, described acquisition module comprises image document collecting unit, and described image document collecting unit, in order to utilize the health and fitness information on the image acquisition device paper document of mobile terminal, forms image document;
Described database management module comprises recognition unit, and described recognition unit is used for identifying described health and fitness information, and described recognition unit comprises:
Segmentation correcting unit, for being partitioned into effective document areas of the described image document that paper document is formed, and carries out image distortion correction to described effective document areas;
Blocking unit, for carrying out printed page analysis to described image document, obtains Doctype, and carries out piecemeal according to described Doctype to the effective document areas after distortion correction, obtains subregion;
Cutting recognition unit, for carrying out cutting to every sub regions, obtains multiple block, utilizes recognition engine text to identify described block.
Further, described acquisition module comprises voice collecting unit, the health and fitness information that described voice collecting unit is given an oral account for utilizing the voice acquisition device collection user of mobile terminal, forms voice messaging;
Described database management module comprises recognition unit, and described recognition unit is used for identifying described health and fitness information, and described recognition unit comprises:
Pretreatment unit, carries out pre-service for voice messaging user being given an oral account to formation;
Feature extraction unit, for carrying out feature extraction to pretreated voice messaging, obtains characteristic parameter;
Matching unit, for described characteristic parameter is generated test template, mates the reference template of test template with reference template storehouse, using reference template the highest for matching degree as recognition result.
Certainly, acquisition module can also comprise the unit for gathering the health and fitness information on the healthy equipment of Wearable.
Further, cutting recognition unit comprises cutting unit and block recognition unit:
Cutting unit is used for for carrying out cutting to every sub regions, obtains multiple block;
Block recognition unit is used for utilizing recognition engine text to identify described block.
Further, cutting unit comprises row cutting unit and row cutting unit:
Row cutting unit is used for every sub regions to project along y-axis, obtains column vector, carries out row cutting according to described column vector to this subregion;
Row cutting unit is used for the subregion obtained after row cutting to project along x-axis, obtains row vector, according to described row vector to this subregion cutting, obtains block.
Further, block recognition unit comprises medical vocabulary information bank training unit and matching unit:
Medical vocabulary information bank training unit, for training the medical vocabulary information bank of recognition engine text;
Matching unit, for by the terminology match in described block and described medical vocabulary information bank, using vocabulary the highest for matching degree as recognition result.
Similarly, the health information management system based on mobile computing has the beneficial effect identical with the health information management method based on mobile computing, does not repeat them here.
In sum, the health information management method based on mobile computing provided by the invention and system have the following advantages:
(1) utilize mobile terminal existing multi-functional, make the health and fitness information of various ways be kept at service end, form health and fitness information database, be convenient to for a long time, effectively health and fitness information managed;
(2) the present invention utilizes mobile terminal to store health and fitness information, so avoid the storage capacity of mobile terminal itself and the limited problem of processing power.
(3) due to the ubiquity of mobile terminal, the scope of application of health control is expanded;
(4) singularity that the present invention is directed to medical files carries out piecemeal, is conducive to the correct identification of health and fitness information;
(5) the present invention is by medical vocabulary information bank to block identification, improves the accuracy of identification;
(6), after health and fitness information is classified, management and inquiry is convenient to.
Although describe embodiments of the present invention by reference to the accompanying drawings, but those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present invention, such amendment and modification all fall into by within claims limited range.
Claims (10)
1. based on a health information management method for mobile computing, it is characterized in that, comprising:
Utilize mobile terminal to gather health and fitness information, and described health and fitness information is uploaded to service end;
The health and fitness information reaching service end is stored, identifies and classified, forms health and fitness information database.
2. method according to claim 1, is characterized in that, the described mobile terminal that utilizes gathers health and fitness information, comprising:
Utilize the health and fitness information on the skin information of the image acquisition device user of mobile terminal or paper document, form image document; And/or
Utilize the health and fitness information that the voice acquisition device collection user of mobile terminal gives an oral account, form voice messaging; And/or
Utilize the voice sound information of the described voice acquisition device collection user of mobile terminal; And/or
Utilize the health and fitness information on the healthy equipment of mobile terminal collection Wearable.
3. method according to claim 2, is characterized in that, the described health and fitness information to reaching service end identifies, comprising:
Be partitioned into the effective document areas in the described image document of paper document formation, and image distortion correction is carried out to described effective document areas;
Printed page analysis is carried out to described image document, obtains Doctype, and according to described Doctype, piecemeal is carried out to the effective document areas after distortion correction, obtain subregion;
Cutting is carried out to every sub regions, obtains multiple block, utilize recognition engine text to identify described block.
4. method according to claim 3, is characterized in that, describedly carries out piecemeal according to described Doctype to the effective document areas after distortion correction, comprising:
For the image document that Doctype is single hurdle, the horizontal length finding the effective document areas after distortion correction is greater than the first cut-off rule of the first predetermined threshold, utilizes the first cut-off rule to this effective document areas piecemeal;
For the image document that Doctype is two hurdle, the horizontal length finding the effective document areas after distortion correction is greater than the 3rd cut-off rule that the second cut-off rule of the second predetermined threshold and vertical width are greater than the 3rd predetermined threshold, utilizes the second cut-off rule and the 3rd cut-off rule to carry out piecemeal to this effective document areas based on connected domain analysis method.
5. method according to claim 3, is characterized in that, describedly carries out cutting to every sub regions, obtains multiple block, comprising:
Every sub regions is projected along y-axis, obtains column vector, according to described column vector, row cutting is carried out to this subregion;
The subregion obtained after row cutting is projected along x-axis, obtains row vector, according to described row vector to this subregion cutting, obtain block.
6. method according to claim 3, is characterized in that, the described recognition engine text that utilizes identifies described block, comprising:
Construct and train the medical vocabulary information bank of recognition engine text;
By the terminology match in described block and described medical vocabulary information bank, using vocabulary the highest for matching degree as recognition result.
7. method according to claim 2, is characterized in that, the described health and fitness information to reaching service end identifies, comprising:
Voice messaging user being given an oral account to formation carries out pre-service;
Feature extraction is carried out to pretreated voice messaging, obtains characteristic parameter;
Described characteristic parameter is generated test template, the reference template of test template with reference template storehouse is mated, using reference template the highest for matching degree as recognition result.
8. based on a health information management system for mobile computing, it is characterized in that, comprising:
Acquisition module, gathers health and fitness information for utilizing mobile terminal;
Transport module, for being uploaded to service end by described health and fitness information;
Database management module, for storing the health and fitness information reaching service end, identifying and classify, forms health and fitness information database.
9. system according to claim 8, it is characterized in that, described acquisition module comprises image document collecting unit, the health and fitness information of described image document collecting unit on the image acquisition device paper document utilizing mobile terminal or the skin information of user, forms image document;
Described database management module comprises recognition unit, and described recognition unit is used for identifying the health and fitness information reaching service end, and described recognition unit comprises:
Segmentation correcting unit, for being partitioned into the effective document areas in the described image document of paper document formation, and carries out image distortion correction to described effective document areas;
Blocking unit, for carrying out printed page analysis to described image document, obtains Doctype, and carries out piecemeal according to described Doctype to the effective document areas after distortion correction, obtains subregion;
Cutting recognition unit, for carrying out cutting to every sub regions, obtains multiple block, utilizes recognition engine text to identify described block.
10. system according to claim 8, is characterized in that, described acquisition module comprises voice collecting unit, the health and fitness information that described voice collecting unit is given an oral account for utilizing the voice acquisition device collection user of mobile terminal, forms voice messaging;
Described database management module comprises recognition unit, and described recognition unit is used for identifying the health and fitness information reaching service end, and described recognition unit comprises:
Pretreatment unit, for carrying out pre-service to described voice messaging;
Feature extraction unit, for carrying out feature extraction to pretreated voice messaging, obtains characteristic parameter;
Matching unit, for described characteristic parameter is generated test template, mates the reference template of test template with reference template storehouse, using reference template the highest for matching degree as recognition result.
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| CN112201351A (en) * | 2020-09-04 | 2021-01-08 | 广东科学技术职业学院 | Method, device and medium for health prompt based on sound collection and analysis |
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| CN103514357A (en) * | 2012-12-31 | 2014-01-15 | Tcl集团股份有限公司 | Remote health supervising method and supervising system thereof |
| CN104200120A (en) * | 2014-09-18 | 2014-12-10 | 上海中医药大学 | System and method for health status monitoring based on traditional Chinese medicine diagnosis information |
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| CN106874823A (en) * | 2015-12-10 | 2017-06-20 | 中国移动通信集团公司 | A kind of information identifying method and device |
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