Description:FORM 2

THE PATENTS ACT, 1970 (39 OF 1970)
&
The Patent Rules, 2003

COMPLETE SPECIFICATION

(See sections 10 & rule 13)

A SYSTEM FOR SCREENING SPECIFIC LEARNING DISABILITIES IN CHILDREN

APPLICANTS (S)
NAME NATIONALITY

ADDRESS

Giftolexia Solutions Private Limited
Indian
No. 677, 1st Floor, 27th Main Road, 13 Cross Road, HSR Layout, Sector 1, Bangalore Bangalore KA 560102

The following specification particularly describes the invention and the manner in which it is to be performed

TECHNICAL FIELD OF THE INVENTION
The invention relates to the field of software engineering. More specifically, the invention relates to system and method for screening of specific learning disability, and reading fluency.
BACKGROUND OF THE INVENTION
Mass screening for specific learning disabilities in children at an early age is a social need and is mandated by law. However due to lack of scalable low-resource screening solutions providing objectivity in results, this demand is not being satisfied, especially in diverse high population countries like India.
The Rights of Persons with Disability Act, 2016 provides for certification of specified disabilities and Guidelines for assessment of specified disabilities.
In a July 2006 order, Mumbai Hight Court directed all schools in Maharashtra to abide strictly by the guidelines for students with learning disabilities. In May 2017, the Court directed schools to screen children for learning disabilities (LD), while they are still in primary school. The order was to ensure detection of specific learning disabilities at the earliest to enable parents and teachers to take remedial steps timely.
This clearly indicates the need for a method which can be easily employed for mass screening of people for learning disabilities. However, due to lack of infrastructure and a scalable solution, such screening is not practically possible.
It is also the need of the hour to create a non-discriminatory process to identify and address the problem. There is a need for proper assessment patterns in schools that can be followed to make it child friendly.
However, most of the methods being currently used to assess specific learning disabilities such dyslexia, dysgraphia, dyscalculia are pen paper based methods which are time consuming and requires presence of a skilled practitioner to administer the test.
The present invention addresses these shortcomings of the prior art and provides a system and method which can be easily implemented at mass screening level with minimal cost.
There are multiple journal papers and patents that talk about technologies such as US9672618B1, IN202041053300A, GB2555853A for screening of learning disabilities. Al-Edaily et al “Dyslexia Explorer: A Screening System for Learning Difficulties in the Arabic Language Using Eye Tracking” is a paper describing a screening system for people with dyslexia based on reading patterns of Arabic scripts using eye-tracking technology. However, the methods described under these patents and publications aims at identifying a specific type of learning disorder only such dyslexia or assessing concentration. These technologies of prior art are focused on improving the efficiency of feature extraction, and accuracy improvement of risk prediction, from the gaze data that is collected from children. The technologies of the prior art suffer from many shortcomings such as:
? The technologies currently being used does not package all components and technologies required to screen a group of children (mass screening) into an end to end solution.
? Some of them support multiple languages, however do not provide a comprehensive mechanism to perform language agnostic screening in the wider domain of orthographically transparent and opaque languages available in the world, by switching languages based on the native tongue of the subject.
? None of the existing technologies provide a method that can be employed in various native languages being spoken in India.
? Existing technologies require trained personnel from the medical profession or trained professionals to carry out screening, evaluate and provide results.
? Existing technologies are meant to be operated in an environment where electricity, computing resources and trained personnel are available.
DALI - (Dyslexia Assessment for Languages of India) and NIMHANS battery for specific learning difficulties are the two recognised screening methods in India and they both are pen and paper based. They take more than 30 minutes per child and require trained medical professionals or teachers to administer them. These constraints make mass screening impractical.
There is a need for screening children at an early age for various learning disabilities, so that right intervention can be provided to them. Not identifying the disability in the early years leads to lost school years, trauma associated with education and impact on the development of the child.
Further, A high percentage of struggling readers is another cause for concern. Fluency is crucial to the reading development of children. When students are able to practice fluent reading, they become better readers. A high percentage of struggling readers is a cause for concern. Reading fluency plays a crucial role in overall academic performance and hence measures should be taken to address this issue in the primary classes. Not much attention has been given to the issue of reading fluency in children.
Technology solutions provided in the prior art do not present a scalable solution that can perform mass screening and provide results to children in a timely manner, without the need for having trained medical professionals to administer the screening.
In addition, inventions or methods of the prior art does not mention their capability to perform in a setting where there is lack of electricity, or when there are children from a mix of language backgrounds.
The present invention addresses these shortcomings of prior art and provides a system and method that can be used for screening and scaling up for mass screening of learning disabilities, and reading fluency across a wide spectrum of languages.
OBJECTIVE OF THE INVENTION:
- An objective of the invention is to provide a system and a method that can be used for screening of specific learning disabilities in Children.
- Another objective of the invention is to provide a system and method that can be used for mass screening of specific learning disabilities.
- Another objective of the invention is to provide a system and a method that can perform language agnostic screening in the wider domain of orthographically transparent and opaque languages available in various geographies across the world, specifically in India.
- Another objective of the invention is to provides a frugal and affordable solution best suited for mass screening in low resource settings.
- Another objective of the invention is to provide a system and method for assessing the reading fluency of a child.
SUMMARY OF THE INVENTION:
The present invention provides a system (100) for screening of specific learning disabilities, and reading fluency in children, wherein said system comprising:
a display screen (110) having wired LED prompts (230), wherein said screen displays the text on it;
a gaze pattern capturing device (220);
a microphone (210); and
a first computing device (130) with a code stored therein, such that on execution of said code, said computing device (130) being enabled to run gaze capturing by said gaze pattern capturing device (220), power said LED prompts (230), said microphone (210) simultaneously to capture gaze data, calibrate the eyes prior to capturing the gaze data and to capture audio inputs while the child reads aloud;
wherein first said computing device includes an operator console (120) for monitoring screening activities and to facilitate gaze data capturing;
the second computing device (160), includes a web application accessible by an operator, said web application enabling logging in and submitting the data for the child (200) and thereafter enabling batch upload of said data;
identification of an analytics model specific to said data and processing of the data for generating risk report. BRIEF DESCRIPTION OF DRAWINGS
The accompanying drawings and figures, which are incorporated herein, and constitute a part of this invention, illustrate exemplary embodiments of the disclosed system and method in which like reference numerals refer to the same parts throughout the different drawings. Components in the drawings are not necessarily to scale, emphasis instead being placed upon clearly illustrating the principles of the present invention.
Figure 1 is an exemplary illustration of the system of the invention.
Figure 2 is an exemplary illustration of the screening process and system of the invention.
Figure 3A – 3C are photographs during screening process.
Figure 4 provides an exemplary device that can be used as a gaze capturing device. The device or gaze capturing goggles is a product made by CyclopsTM MedTech, originally designed for vertigo assessment using gaze data analysis, and re-purposed to collect gaze data while the child reads text.
Figure 5A – 5D provides some exemplary screen shots of the software usage, data upload user interface and parent and school logins.
Figure 6 provides an exemplary illustration of application architecture.
Figure 7 provides an exemplary illustration of the method of the invention.
Figure 8 is chart providing results for screening for reading fluency.
The features of the present disclosure will become fully apparent from the following description taken in conjunction with the accompanying figures. With the understanding that the figures depict only several embodiments in accordance with the disclosure and are not to be considered limiting of its scope. The disclosure will be described further through use of the accompanying figures.
DETAILED DESCRIPTION OF THE INVENTION:
The disclosure is now described with reference to the accompanying drawings which do not limit the scope and ambit of the disclosure. The description provided is purely by way of example and illustration.
The ensuing description provides exemplary embodiments only, and is not intended to limit the scope, applicability, or configuration of the disclosure. Rather, the ensuing description of the exemplary embodiments will provide those skilled in the art with an enabling description for implementing an exemplary embodiment. It should be understood that various changes may be made in the function and arrangement of elements without departing from the spirit and scope of the invention as set forth.
The word “exemplary” and/or “demonstrative” is used herein to mean serving as an example, instance, or illustration. For the avoidance of doubt, the subject matter disclosed herein is not limited by such examples. In addition, any aspect or design described herein as “exemplary” and/or “demonstrative” is not necessarily to be construed as preferred or advantageous over other aspects or designs, nor is it meant to preclude equivalent exemplary structures and techniques known to those of ordinary skill in the art. Furthermore, to the extent that the terms “includes,” “has,” “contains,” and other similar words are used in either the detailed description or the claims, such terms are intended to be inclusive—in a manner similar to the term “comprising” as an open transition word—without precluding any additional or other elements.
Reference throughout this specification to “one embodiment” or “an embodiment” or “an instance” or “one instance” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases “in one embodiment” or “in an embodiment” in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
As used herein, the term “and/or” includes any and all combinations of one or more of the associated listed items.
The term “a” “an” as used herein includes the singular as well as plural for the associated item.
The term “LED” (light-emitting diode) as used herein means a semiconductor device that emits light when current flows through it.
The term “OTP” (one-time password, also known as a one-time PIN, one-time authorization code (OTAC) or dynamic password), as used herein, is a password that is valid for only one login session or transaction, on a computer system or other digital device.
The term “Specific Learning Disability” as used herein is a disorder characterized by reading below the expected level for one's age. Different people are affected to different degrees. Problems may include difficulties in spelling words, reading quickly, writing words, "sounding out" words in the head, pronouncing words when reading aloud and understanding what one reads.
The present invention is motivated by the need for a mass screening tool for early identification of specific learning disabilities and/or reading fluency, so that children can be directed for intervention programmes at an appropriate age. In a country like India which is highly diverse in terms of language and populous, there is a need for a scalable solution that can be operated cost effectively and in a low resource setting. Also, considering the vast cultural diversity, where people coming from different communities or states or tribes speaks different languages, it is important to have a method which can take care of this language diversity and be easily employed for screening of specific learning disabilities and/or reading fluency in multilingual set-up.
The present invention effectively meets with these requirements and provides a system and method that can be operated for mass screening of specific learning disabilities, and reading fluency in a very cost effective, low resource set-up, across diverse range of languages. The system and method of the invention is language agnostic towards orthographically transparent as well as orthographically opaque languages.
The system and method of the invention are useful for screening specific learning disabilities such as dyslexia, dysgraphia and dyscalculia. 10 to 15% of children of school going age have some form of specific learning disability. Early identification and right remediation are crucial for the academic success of these children.
The system and method of the invention can be used to screen specific learning disability in children aged between 6-9 years. The system and method generally require reading of 4 to 6 short sentences by the child in a given language to capture data to generate risk report. The method takes approximately 10 minutes per child. It is possible to screen 4-10 children per hour by using the system and method of the invention. The system and method of the invention can be operated in a language independent manner.
Further, the system and method of the invention are also useful for assessing the reading fluency in children aged between 6-9 years.
The reading fluency is measured based on multiple factors like speed, accuracy, expression, and comprehension. The system and the method of the invention provides a comparative fluency measure based on time taken to read or speed of reading text. The eye movement data is analysed, and the invention uses the time taken to read as a proxy for fluency. The purpose is to give the school or parent or any other authorized third party an overview of comparative performance of children in different classes and help them take steps to improve reading fluency of children. Based on the gaze data, the system generates individual fluency report and fluency charts for each class as well, if required. Students are classified as Struggling, Moderate, Fluent and Lucid readers. Along with other parameters, audio data can also be considered for generating the reading fluency report.
The fluency report provides actionable insights to parents, school or any other authorized third party.

In an embodiment, the present invention provides a system (100) for screening of specific learning disability, and reading fluency in children, wherein said system comprising:
a display screen (110) having wired LED prompts (230), wherein said screen displays the text on it;
a gaze pattern capturing device (220):
a microphone (210); and
a first computing device (130) with a code stored therein, such that on execution of said code, said computing device (130) being enabled to run gaze capturing by said gaze pattern capturing device (220), power said LED prompts (230), said microphone (210)simultaneously to capture gaze data, calibrate the eyes prior to capturing the gaze data and to capture audio inputs while the child reads aloud.
wherein said first computing device includes an operator console (120) for monitoring screening activities and to facilitate gaze data capturing.
The second computing device (160), includes a web application accessible by an operator, said web application enabling logging in and submitting the data for the child (200) and thereafter enabling batch upload of said data;
identification of an analytics model specific to said data and processing of the data for generating risk report.
The data capturing software of the invention runs on the first computing device.
In an embodiment the display screen is electronic screen, a digital screen or a non-digital screen.
In a preferred embodiment, the screen is a non-digital display screen. The non-digital display screen and its various embodiments make it ideal for a low resource setting. The non-digital display screen serves two purposes in a gaze pattern/eye tracking based identification of specific learning disabilities:-
i. Render text for the subject to read
ii. Prompt the subject to look at certain points on the screen, in order to calibrate the pupil position.
The innovative screen makes use of embedded system electronics to make the screen interactive, in order to facilitate calibration, which is a crucial step for collecting gaze pattern data. It provides two advantages over digital displays:
i. It can be folded and packaged and is very lightweight to facilitate portability.
ii. The embedded controller and its LEDs are capable of being driven by law power source such as laptop battery, via a USB cable. Hence the display screen can be even used at locations where there is no electricity.
Preferably, the screen itself is made of canvas, overlaid with vinyl having the text printed.
The non-digital display screen has wired LED prompts at specific points. LEDs are connected to the computing device such as laptop via an embedded electronics.
In an embodiment, the said operator console (120) is further adapted to upload all the captured data, including child’s relevant details, gaze data and audio inputs and qualitative data onto a second computing device (160), said second computing device comprising a processor operatively configured with a non-transitory storage device, wherein on receipt of said child data by said second computing device, said processor is configured to identify an analytics model from a pre-determined set of analytics models for processing received child data.
Child’s relevant details has information related to the school or parent details or any other detail relevant for the child.
The qualitative data includes information such as:
- whether the calibration has been completed. If not, what are the reasons for non-completion. Some of the reasons for non-completion of calibration may be:
o the child was unable to follow the instruction/calibration sequence;
o there were some technical issues;
- number of lines read by the child;
- how did the child read. Did the child make errors while reading.
There is a provision for the operator to add additional comments, if needed.
The operator console is used by the operator for starting/stopping screening activity, monitoring an ongoing screening activity, and to capture the screening data.
In an embodiment, the operator console is a web application where the operator can log in and submit the child’s details and the associated gaze data. The console facilitates batch upload of the above details.. This allows the operator in the field to perform screening all day long, accumulating child data in the computing device such as a laptop, and then at the end of the screening drive, upload all child data into the operator console. This facility avoids the need for having internet connectivity at the screening location.
Preferably, the analytics backend application is transparent to all users. It performs the data processing and risk identification tasks and finally generates the risk report for the child.
The said analytics model is identified based on a plurality of parameters such as age, language of instruction and grade of said child.
In an embodiment, said second computing device (160) further comprises an analytics module to execute identified analytics model, said analytics module comprising:
- a data processing module that becomes operational on receipt of data from said operator console;
- a risk identification module being configured to identify risk of specific learning disability based on said processed data received from said data processing module; and
- a report generation module for generating one or more risk reports for each child.
The risk report is for identifying specific learning disabilities based on said child’s data.
The risk report also helps in assessing the reading fluency of the child.
In an embodiment, said second computing device (160) preferably being a cloud-based server.
In an embodiment, the system (100) of the invention further comprises one or more console for third party access, such as parent console (150), school console (140) for accessing generated risk reports of said child (200), comprising a web application accessible by parent and/or school who are given access to the report after verifying their credentials.
Preferably, the console for third party also have provision for accessing the reports by any other authorized person through a web application accessible by such third party.
In an embodiment, school console allows the school authority to login and access a school level aggregated report, for the children screened from different classes.
In an embodiment, said web application being accessible by the third party via an internet connected device after authentication.
In an embodiment, the invention provides a system, wherein said display screen (110) comprises wired LED prompts (230) at specific points, and said LEDs being connected to said computing device (130) via embedded electronics.
In an embodiment, the invention provides a system, wherein said second computing device (160) is adapted to operate offline to enable operation without internet connectivity at screening location.
In an embodiment, the operator can also upload the qualitative comments as well as the number of lines read by the child while uploading the data captured by the software during the screening process.
Preferably, the system of the present invention has five components:
1. The screening Apparatus - consisting of a
a. display screen
b. gaze pattern capturing device such as goggles ,
c. microphone, and
d. a computing device such as laptop that runs the gaze capturing software. Preferably, the computing device is so chosen that powers the LEDs, microphone and goggles in no-electricity set-up.
2. Operator console - is a web application where the operator can log in and submit a child’s data . The console facilitates batch upload of child data. This allows the operator in the field to perform screening all day long, accumulating child data in the laptop, and then at the end of the day, upload all child data into the operator console. This facility avoids the need for having internet connectivity at the screening location.
3. The analytics backend application - which is preferably transparent to all users. It performs the data processing and risk identification tasks and finally creates the risk report for the child.
4. Parent console - is a web application, where the parent can login using his mobile phone(OTP based authentication) and download his child’s report(s)
5. School console - is a web application where the school authority can login and access a school level aggregated report, for the classes for which screening is conducted.

The data capturing software of the invention is a specially designed and developed software for capturing gaze data. The software is designed to capture child and parent details, perform calibration of the eye position using a sequence of prompts on the display, and then record the gaze pattern while the child is reading, and finally capture qualitative information about how the child reads. The data is then exported, preferably as a bundle of CSV (comma separated value) and JSON (JavaScript Object Notation) files.
The data capturing software runs on the first computing device.
The system of the invention is thus capable of identifying risk of specific learning disability or its absence and correspondingly generate a report.
The system of the invention is capable of generating individual reports for reading fluency or a fluency chart for a group of children such as a class. The fluency report is generated based on the gaze data.
In yet another embodiment, the invention provides a method (300) of screening for specific learning disabilities, and reading fluency in children, wherein said method comprising steps of:
a) entering (302) a child’s relevant details and tracking data into a computing device;
b) making the child wear a (304) a gaze pattern capturing device
c) calibrating (306) said gaze pattern capturing device for said child, wherein said calibrating includes prompting LEDs connected to said display being lit in a predefined sequence to facilitate calibration;
d) displaying (308) a plurality of lines for reading by said child and noting down, by an operator, one or more qualitative measurements based on said plurality of lines being read by said child;
e) entering (310) said qualitative comments and number of lines read by said child into said computing device to end said screening;
f) uploading (312) entered comments and number of lines read data and the data recorded by the system while the child read, into an operator console on a web portal and submitting said data for processing;
g) identifying (314) by a second computing device (160), an analytics model for received data, said analytics model being determined based on the age of said child, the language of instruction of said child and the grade of said child; and generating the risk report.
In an embodiment, the invention provides a method (300), wherein said operator console (120) being adapted to facilitate real-time monitoring of said screening progress and provide prompts to said operator based on said child's responses.
In an embodiment, the invention provides a method (300), wherein the method comprises processing of said data by identified analytics model on said second computing device (160) and generating a risk report.
The risk report generated is to identify risk of specific learning disability in the child.
In a preferred embodiment, the invention provides a method (300), wherein said report is accessible by one or more persons having permission to access the report.
The method as claimed in claim 13, wherein said one or more persons being any or a combination of parents, school or any other authorized personnel.
The method (300) as claimed in claim 10, wherein said gaze pattern capturing device (220) is a pair of gaze capturing goggles.
In an embodiment, the operator also records the qualitative comments about the child and can also upload the qualitative comments as well as the number of lines read by the child while uploading the data captured by the software during the screening process.
The present invention is designed to be modular. Each module of the invention can be switched to a better available technology, when one is available. The principal of functionality remains the same. For example, the goggles used for capturing gaze data can be changed for any device with better or similar efficacy, the front-end web application for the operator and parents is a separate module and the analytics backend is a separate module. Each of these components can be modified or upgraded, without affecting other layers.
Facility to switch languages, as well as to add support for additional languages are built-in by design. The present invention thus works with a multi-language support and language switching design.
The present invention thus provides a system and method for screening any specific learning disabilities, and assessing reading fluency based on gaze data and audio inputs, which are analysed using a predictive model. The system and method of the invention are thus useful for generating reading fluency reports, and report of risk level for Specific Learning Disabilities in subjects based on the extracted markers and using the right combination of markers.
The system and the method of the invention can be easily set up and effectively employed at places like schools or primary health centers, where school teachers or ASHA workers can be trained to operate the screening apparatus and upload the data into the operator console.
Such a set-up also allows screening at the convenience of the child and the parent.
EXAMPLES:
Example 1: An exemplary method for working of the system and method of the invention is as follows:
1. Parental consent form is obtained before the screening process. Parents can also mention if the data can be shared with the school authorities, if the screening drive is facilitated by the school.
2. The child is briefed about the screening process, while he/she is waiting for their turn
3. Operator enters child details such as name, age, parent’s phone number, language into the screening software
4. Operator fixes the goggles on the child’s face
5. Operator starts the calibration step. The prompting LEDs connected to the display are lit in a predefined sequence inorder to facilitate calibration.
6. Child follows the calibration sequence, eyes are calibrated .
7. Child starts to read text from the display from top to bottom
8. Operator notes down qualitative measurements such as ease of reading, errors etc.
9. Operator enters the qualitative comments as well as the number of lines read by the child into the software and ends the screening process.
10. Operator uploads the screening data into the operator console on the web portal and submits the data for processing.
11. Parent logs in to the parent portal using his phone number, once authenticated with an OTP , he can access his/her child details and download the report.
Example 2: Screening in English Language
Screening drive in a school in Bangalore in January 2019.
Number of students screened - 60
The age group of the students was in the range of 7 to 9 years.
The screened students were from grade 2, 3.and 4.
The number of hours spent in the screening drive were 25 hours.
Number of students identified at risk – 10
Individual student risk reports were generated.
The findings of the screening drive were validated by Dr. Uma Hirisave of NIMHANS.
Example 3: Screening in Marathi language:
Mass screening drive held at Municipal Schools in Pimpri Chinchwad Municipality (PCMC), Maharashtra, between the period of October to December 2019. Students were screened in Marathi language.
Number of students screened - 1991
The age group of the students was in the range of 7 to 9 years.
The screened students were from grade 2 to 4.
The number of hours spent in the screening drive were – 300
Students identified at Risk - 271
Students who could not read were exempted from the risk analysis. Individual risk reports and class-wide fluency reports were generated.
The findings of the screening drive were validated by Clinical Psychologists from Zep Rehabilitation center, Chinchwad.
Example 4: Screening in Malayalam and English language:
Mass screening drive held at St. Berchman’s College, Changanacherry, Kottayam, Kerala, between the duration September 20th to 25th 2022. Students were screened for specific learning disability using Malayalam and English language.
Number of students screened - 176
The age group of the students was in the range of 7 to 12.
The screened students were from grade 2 to 6.
The number of hours spent in the screening drive were 25 hours
No of children identified at risk – 33
Individual risk reports and individual fluency reports were generated.
The findings of the screening drive were validated by - NA
Example 5: Screening drive in Malayalam language:
Mass screening drive held at Govt. School, Puthur, Kerala, during December 2022. Students were screened for any specific learning disability using Malayalam language.
Number of students screened - 310
The age group of the students was in the range of 7 to 9.
The screened students were from grade 2 to 4.
The number of hours spent in the screening drive were 30 hours.
Number of students identified at risk – 34
Individual risk reports and individual fluency reports were generated.
The findings of the screening drive were validated by Amma Clinic, Palakkad District.
Example 6: Screening drive in English language:
Mass screening drive held at Municipal Schools in Pimpri Chinchwad Municipality (PCMC), Maharashtra, between the period of October to December 2019. Students were screened for specific learning disability using English language.
Number of students screened – 227.
The age group of the students was in the range of 7 to 9.
The screened students were from grade 2 to 4.
The number of hours spent in the screening drive were 50.
No. of students identified at Risk- 45
Students who could not read were exempted from the risk analysis
The findings of the screening drive were validated by -NA-
Individual risk reports and class-wide fluency reports were generated.
Example 7: Assessing reading fluency:
Screening drive held at Municipal Schools in Pimpri Chinchwad Municipality (PCMC), Maharashtra, between the period of October to December 2019. 94 students were screened for reading fluency.
The results of the screening drive for reading fluency report are provided in the graph in Figure 8.
The graph depicts the fluency level for students in a batch of 94 students. Data indicates that very few students fall under the struggling category. Most students were fluent or lucid readers and others were moderate readers.
Individual risk report and class-wide fluency reports were provided.
While considerable emphasis has been placed herein on the embodiments and preferred embodiments, it will be appreciated that many embodiments can be made and that many changes can be made in the preferred embodiments without departing from the principles of the invention. These and other changes in the embodiments of the invention will be apparent to those skilled in the art from the disclosure herein and will be within the ambit of the present invention. The foregoing descriptive matter to be implemented merely as illustrative of the invention and not as limitation.
ADVANTAGES OF THE PRESENT INVENTION:
? The present invention does not require a trained medical expert or specially trained teacher to administer the screening. A person having basic knowledge to operate a computer can perform the screening.
? Present invention can operate in a low resource setting - which is a necessity in remote villages. It can run on the laptop battery for many hours, so that the screening can be completed.
? The display required need not necessarily be on an electronic screen. It can be any screen on which text can be projected or displayed. That brings down the need to have electricity in the premises. This also makes the invention economically very effective.
? Present invention can handle screening in any orthographically transparent or orthographically opaque language. The solution is language agnostic. When a new language is to be added into the system, the only requirement is to have a validated dataset so that a predictive model can be built for that language. Once the model is built and stored into the solution, the operator can switch to the new language seamlessly.
? Present innovation is designed to be modular. The various layers of invention are so connected that each module can be switched to a better available technology, when one is available.
? The screening apparatus is highly portable and can be set up anywhere it is needed.
? Present solution reduces the screening time to 10 minutes per child or even less, making mass screening possible.
, Claims:We Claim:
1. A system (100) for screening of specific learning disabilities, and reading fluency in children, wherein said system comprising:
a display screen (110) having wired LED prompts (230), wherein said screen displays the text on it;
a gaze pattern capturing device (220);
a microphone (210); and
a first computing device (130) with a code stored therein, such that on execution of said code, said computing device (130) being enabled to run gaze capturing by said gaze pattern capturing device (220), power said LED prompts (230), said microphone (210) simultaneously to capture gaze data, calibrate the eyes prior to capturing the gaze data and to capture audio inputs while the child reads aloud;
wherein first said computing device includes an operator console (120) for monitoring screening activities and to facilitate gaze data capturing;
the second computing device (160), includes a web application accessible by an operator, said web application enabling logging in and submitting the data for the child (200) and thereafter enabling batch upload of said data;
identification of an analytics model specific to said data and processing of the data for generating risk report.
2. The system (100) as claimed in claim 1, wherein said operator console (120) being further adapted to upload all the captured data, including child’s relevant details, gaze data and audio inputs and the qualitative data onto a second computing device (160), said second computing device (160) comprising a processor operatively configured with a non-transitory storage device, wherein on receipt of said child data by said second computing device, said processor being configured to identify an analytics model from a pre-determined set of analytics models for processing received child data.
3. The system (100) as claimed in claim 2, wherein said analytics model being identified based on a plurality of parameters such as age, language of instruction and grade of said child.
4. The system (100) as claimed in claim 3, wherein said second computing device (160) further comprises an analytics module to execute identified analytics model, said analytics module comprising:
a data processing module that becomes operational on receipt of data from said operator console;
a risk identification module being configured to identify risk of specific learning disability or reading fluency based on said processed data received from said data processing module; and
a report generation module for generating one or more risk reports for each child.
5. The system as claimed in claim 1 and 4, wherein the risk report is for identifying specific learning disability based on said child’s data.

6. The system as claimed in claim 1 and 4, wherein the risk report is useful for generating reading fluency report.
7. The system (100) as claimed in claim 2, wherein said second computing device (160) being a cloud based server.
8. The system (100) as claimed in claim 2, wherein said system (100) further comprises a third-party console for accessing generated risk reports of said child (200), comprising a web application accessible by the third party.
9. The system as claimed in claim 8, wherein the third-party console is preferably a parent console (150) and/or a school console (140).
10. The system (100) as claimed in claim 8, wherein said web application being accessible by the third party via an internet connected device.
11. The system (100) as claimed in claim 1, wherein said display screen (110) comprises wired LED prompts (230) at specific points, and said LEDs being connected to said computing device (130) via an embedded electronics.
12. The system as claimed in claim 1, wherein said screen is an electronic screen, or a digital screen or a non-digital screen.
13. The system (100) as claimed in claim 2, wherein said first computing device being adapted to operate offline to enable operation without internet connectivity at screening location.
14. The system (100) as claimed in claim 1, wherein said gaze pattern capturing device (220) being a pair of goggles.
15. A method (300) of screening for specific learning disabilities and reading fluency in children, wherein said method comprising steps of:
a. entering (302) a child’s details into a computing device;
b. making the child wear the (304) gaze pattern capturing device
c. calibrating (306) said gaze pattern capturing device for said child, wherein said calibrating includes prompting LEDs connected to said display being lit in a predefined sequence to facilitate calibration;
d. displaying (308) a plurality of lines for reading by said child and noting down, by an operator, one or more qualitative measurements based on said plurality of lines being read by said child;
e. entering (310) said qualitative comments and number of lines read by said child into said computing device to end said screening;
f. uploading (312) entered comments and number of lines read data into an operator console on a web portal and submitting said data for processing;
g. identifying (314) by a second computing device (160), an analytics model for received data, said analytics model being determined based on an age of said child, a language of instruction of said child and a grade of said child; and generating the risk report.

16. The method (300) as claimed in claim 15, wherein said operator console (120) being adapted to facilitate real-time monitoring of said screening progress and provide prompts to said operator based on said child's responses.

17. The method (300) as claimed in claim 15, wherein the method comprises processing of said data by identified analytics model on said second computing device (160) to identify risk of specific learning disability or its absence and correspondingly generate a report, or to generate a reading fluency report.

18. The method (300) as claimed in claim 17, wherein said report being accessible by one or more persons.

19. The method as claimed in claim 18, wherein said one or more persons being any or a combination of parents, school, government body or other authorized personnel.

20. The method (300) as claimed in claim 15, wherein said gaze pattern capturing device (220) being a pair of gaze capturing goggles.