Claims:1. A system for determining an environment state, a user state, an equipment state and an activity, the system comprises:
a plurality of internal sensors, wherein the plurality of internal sensors are configured to receive a separate input signal from the user during performance of an activity;
a processor, wherein the plurality of internal sensors communicates a sensed data with the processor;
a memory, wherein the memory is connected to the processor and comprises a computer readable program, wherein the computer readable program provides interaction between a computing device;
a kiosk, wherein the kiosk is connected to the memory and the processor for enabling a man-machine interface;
wherein, the input signals delivered from the plurality of internal sensors to the processor are analyzed by the computer readable program as a function of a nonlinear as well as linear relationship for determining a user and an environment state, wherein the analysis is compared to a baseline data for predictive determination of the user and the environment state of the before a repeated performance of the activity.
2. The system as claimed in claim 1, wherein the kiosk comprises an interactive screen, a biometric unit, an internet unit, a camera with microphone, an interactive display, an ultrasound sensor, a close circuit television, an internet of things (IOT) board, and a voltage regulator .
3. The system as claimed in claim 1, wherein the plurality of sensors comprises a temperature sensor, a humidity sensor, a moisture sensor, a soil moisture sensor, a soil pH level sensor and a plurality of air quality sensor.
4. The system as claimed in claim 1, wherein the baseline data is derived from the user and environment during a prior successful completion of the activity, wherein the baseline data is stored in the memory before a comparison with the input signals. , Description:-2-
A) TECHNICAL FIELD OF INVENTION
[001] The present invention generally relates to a man-machine interaction system and particularly relates to a system and method for determining an environment state, a user state, an equipment state and an activity through an Internet of Things (IOT platform).
B) BACKGROUND OF THE INVENTION
[002] Rural environments pose a challenge for conventional design of digital systems. The challenges are diverse including power requirements and tolerance of temperature and adverse climate. Conventional electronic systems designed for urban environments are not robust enough to survive in rural environment due to higher variations in voltages in rural areas and un-predictable power supply and excessive temperatures. Use-cases for rural environments are also different as the literacy levels are lower and so are the technology literacy levels. The needs of health, education, digital communication, environment sensing, environment control, security have to be accounted for with these factors in mind. Any solution will require a computing system, display system, sensors, actuators. power control units, power supply units and memory.
[003] Various prior patents have been filed with the concept of smart village power supply and kiosks for certain usage. The prior art patents focus on presentation of information to the user and talk about underlying technologies for display of information or control of power to the unit. The methods presented do not aim to provide a combination of services to the rural population with design that is optimized for consumption of services. Voice, gesture and artificial intelligence-based interface to cater the needs of rural population are not a focus of current state of development through a comprehensive system that includes services for:
a) Enabling precision agriculture
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b) Allowing villagers to employ the system without any need for learning technology and simply allowing speech based and gesture-based interaction
c) a) System to convert speech into email for villagers so they can easily send letters notifications and communications via the digital channels
d) System to enable skills education using augmented reality and virtual reality for communities and groups of users
e) Enabling peer to peer video conferencing
f) Enable an App based control of entire Smart Village solution
g) Solution to enable video-based tutoring for students
h) Allowing entertainment and content delivery
i) Enabling digital payments and transactions in rural India
j) Enabling on the mobile surveillance of any and every facility
k) Intelligent lights for power optimization and safe surroundings
l) Provide public WiFi for populations.
m) Enabling self-help groups to record their meetings and remove poverty
n) Enabling connectivity with recruitment solutions
o) IOT driven garbage and sanitation management
p) Enabling guidance for farmers and sensing based logistics to connect farmers to buyers.
q) Connecting the school and offering Student Behaviour Tracking and Analytics, Attendance and recruitment, Admissions Management, Accounts Management, Exam and grades tracking, laboratory management, inventory management, library management and staff management.
[004] The prior arts fail to combine the use cases and the environments in a comprehensive manner leading to disconnected and unusable solutions for rural environments.
[005] In the view of foregoing, there is a need for a system for determining an environment state, a user state, an equipment state and an activity. Also, there is
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a need for a system to change a display parameters and contents based on an environment and user activity sensing. Further, there is a need for a system for providing a comprehensive set of services on an integrated singleton infrastructure.
[006] The above-mentioned shortcomings, disadvantages and problems are addressed herein, as detailed below.
C) OBJECT OF THE INVENTION
[007] The primary objective of the present invention is to provide a system for determining an environment state, a user state, an equipment state and an activity.
[008] Another objective of the present invention is to provide a system to change a display parameters and contents based on an environment and user activity sensing.
[009] Yet another object of the present invention is to provide a system for providing a comprehensive set of services on an integrated singleton infrastructure.
[0010] Yet another object of the present invention is to provide a plurality of services through the system comprising enablement of precision agriculture using sensors dictate a letter which can be printed or converted into email, a speech and gesture-based interaction with the system, control of intelligent lights through the system, digital meetings on a user device through the system, rural garbage management, digital tutoring marketplace, e-health applications, a job market place, enable security solutions accessible from a user device, offer skills education and vocational education, enable a secure public announcement system that includes, SMS, app notifications, speakers, displays etc., enable entertainment solutions in a rural area, WIFI, and school management system.
[0011] These and other objects and advantages of the embodiments herein will become readily apparent from the following detailed description taken in conjunction with the accompanying drawings.
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D) SUMMARY OF THE INVENTION
[0012] The various embodiments of the present invention provide a system for determining an environment state, a user state, an equipment state and an activity. The system comprises a plurality of internal sensors, a processor, a memory, and a kiosk. The plurality of internal sensors are configured to receive a separate input signal from the user during performance of an activity. The plurality of internal sensors communicates a sensed data with the processor. The memory is connected to the processor and comprises a computer readable program. The computer readable program provides interaction between a computing device. The kiosk is connected to the memory and the processor for enabling a man-machine interface. The input signals delivered from the plurality of internal sensors to the processor are analyzed by the computer readable program as a function of a nonlinear as well as linear relationship for determining a user and an environment state. The analysis is compared to a baseline data for predictive determination of the user and the environment state of the before a repeated performance of the activity.
[0013] According to one embodiment of the present invention, the kiosk comprises an interactive screen, a biometric unit, an internet unit, a camera with microphone, an interactive display, an ultrasound sensor, a close circuit television, an internet of things (IOT) board, and a voltage regulator .
[0014] According to one embodiment of the present invention, the plurality of sensors comprises a temperature sensor, a humidity sensor, a moisture sensor, a soil moisture sensor, a soil pH level sensor and a plurality of air quality sensor.
[0015] According to one embodiment of the present invention, the baseline data is derived from the user and environment during a prior successful completion of the activity, wherein the baseline data is stored in the memory before a comparison with the input signals.
[0016] These and other aspects of the embodiments herein will be better appreciated and understood when considered in conjunction with the following description and the accompanying drawings. It should be understood, however, that the following descriptions, while indicating preferred embodiments and
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numerous specific details thereof, are given by way of illustration and not of limitation. Many changes and modifications may be made within the scope of the embodiments herein without departing from the spirit thereof, and the embodiments herein include all such modifications.
E) BRIEF DESCRIPTION OF THE DRAWINGS
[0017] The other objects, features and advantages will occur to those skilled in the art from the following description of the preferred embodiment and the accompanying drawings in which:
[0018] FIG. 1 illustrates a system for determining an environment state, a user state, an equipment state and an activity, according to one embodiment of the present invention.
[0019] FIG. 2 illustrates a flowchart of method for determining an environment state, a user state, an equipment state and an activity, according to one embodiment of the present invention.
[0020] FIG. 3 illustrates an implementation of the kiosk for precision agriculture, according to one embodiment of the present invention.
[0021] FIG. 4 illustrates an implementation of the kiosk for speech to an electronic mail or letter conversion, according to one embodiment of the present invention.
[0022] FIG. 5 illustrates an implementation of the kiosk for skill training, according to one embodiment of the present invention.
[0023] FIG. 6 illustrates an implementation of the kiosk for digital meeting, according to one embodiment of the present invention.
[0024] FIG. 7 illustrates an implementation of the kiosk for hygiene and garbage management, according to one embodiment of the present invention.
[0025] FIG. 8 illustrates an implementation of the kiosk for intelligent tutoring, according to one embodiment of the present invention.
[0026] FIG. 9 illustrates an implementation of the kiosk for agricultural marketplace, according to one embodiment of the present invention.
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[0027] FIG. 10 illustrates an implementation of the kiosk for entertainment and public broadcast, according to one embodiment of the present invention.
[0028] FIG. 11 illustrates an implementation of the kiosk for healthcare, according to one embodiment of the present invention.
[0029] FIG. 12 illustrates an implementation of the kiosk for security, according to one embodiment of the present invention.
[0030] FIG. 13 illustrates an implementation of the kiosk for managing intelligent lights and electronic devices, according to one embodiment of the present invention.
F) DETAILED DESCRIPTION OF THE DRAWINGS
[0031] In the following detailed description, a reference is made to the accompanying drawings that form a part hereof, and in which the specific embodiments that may be practiced is shown by way of illustration. The embodiments are described in sufficient detail to enable those skilled in the art to practice the embodiments and it is to be understood that the logical, mechanical and other changes may be made without departing from the scope of the embodiments. The following detailed description is therefore not to be taken in a limiting sense.
[0032] A person ordinary skill in the art will also be aware that memory devices refer to any form of electronic memory including all forms of sequential, pseudo-random, and random-access memory (RAM) storage devices. Storage devices as known within the current art include all forms of RAM, magnetic and optical tape, magnetic and optical disks, along with various other forms of solid-state mass storage devices. The disclosed invention applies to all forms and manners of memory devices including, but not limited to, storage devices utilizing magnetic, optical, and chemical techniques, or any combination thereof.
[0033] As referred to herein, the term “computer or activity system” should be broadly construed. For example, a computer may be any electronic device configured to present physiological and non-physiological data to a user. Examples of such a computer include, but are not limited to, conventional
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desktop computers as well as laptop computers. In another example, a computer may be a mobile device such as, for example, but not limited to, a smart phone, a cell phone, a pager, a personal digital assistant (PDA), a mobile computer with a smart phone client, or the like. A computer may also be a typical mobile device with a wireless data access-enabled device (e.g., an iPHONE® smart phone, a BLACKBERRY® smart phone, a NEXUS ONE™ smart phone, an iPAD® device, or the like) that is capable of sending and receiving data in a wireless manner using protocols like the Internet Protocol, or IP, and the wireless application protocol, WAP, or BLUETOOTH®. This allows users to access information via wireless devices, such as smart phones, mobile phones, pagers, two-way radios, communicators, and the like. Wireless data access is supported by many wireless networks, including, but not limited to, CDPD, CDMA, GSM, PDC, PHS, TDMA, FLEX, ReFLEX, iDEN, TETRA, DECT, DataTAC, Mobitex, EDGE and other 2G, 3G, 4G, 5G and LTE technologies, and it operates with many handheld device operating systems, such as PalmOS, EPOC, Windows CE, FLEXOS, OS/9, JavaOS, iOS and Android. Typically, these devices use graphical displays and can access the Internet (or other communications network) on so-called mini- or micro-browsers, which are web browsers with small file sizes that can accommodate the reduced memory constraints of mobile wireless devices. In one embodiment, the mobile device is a cellular telephone or smart phone that operates over GPRS (General Packet Radio Services), which is a data technology for GSM networks. In addition to a conventional voice communication, a given mobile device can communicate with another such device via many different types of message transfer techniques, including SMS (short message service), enhanced SMS (EMS), multi-media message (MMS), email WAP, paging, or other known or later-developed wireless data formats.
[0034] As referred to herein, a “user interface” is generally a system by which users interact with a computer. An interface can include an input for allowing users to manipulate a computer, and can include an output for allowing the system to present information (e.g., electronic text) and/or data, to indicate the
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effects of the user's manipulation, etc. An example of an interface on a computer includes a graphical user interface (GUI) that allows users to interact with programs in more ways than typing. A GUI typically can offer display objects, and visual indicators, as opposed to text-based interfaces, typed command labels or text navigation to represent information and actions available to a user. For example, an interface can be a display window or display object, which is selectable by a user of a mobile device for interaction. The display object can be displayed on a display screen of a computer and can be selected by, and interacted with by, a user using the interface. In an example, the display of the computer can be a touch screen, which can display the display icon. The user can depress the area of the display screen at which the display icon is displayed for selecting the display icon. In another example, the user can use any other suitable interface of a mobile device, such as a keypad, to select the display icon or display object. For example, the user can use a track ball or arrow keys for moving a cursor to highlight and select the display object. Another form of interface is voice-based interface where user interacts with computing system via voice activation. Typically, this interface is activated by a keyword or button press. Users voice is recorded and recognised by a speech recognition system based on which the computing system takes action.
[0035] Operating environments in which embodiments of the present disclosure may be implemented are also well-known. In a representative embodiment, a mobile computer such as a laptop is connectable (for example, via WAP) to a transmission functionality that varies depending on implementation. Thus, for example, where the operating environment is a wide area wireless network (e.g., a 2.5G network, a 3G network, or a 4G/5G network), the transmission functionality comprises one or more components such as a mobile switching center (MSC) (an enhanced ISDN switch that is responsible for call handling of mobile subscribers), a visitor location register (VLR) (an intelligent database that stores on a temporary basis data required to handle calls set up or received by mobile devices registered with the VLR), a home location register (HLR) (an intelligent database responsible for management of each subscriber's records),
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one or more base stations (which provide radio coverage within a cell), a base station controller (BSC) (a switch that acts as a local concentrator of traffic and provides local switching to effect handover between base stations), and a packet control unit (PCU) (a device that separates data traffic coming from a mobile device). The HLR also controls certain services associated with incoming calls. Of course, embodiments in accordance with the present disclosure may be implemented in other and next-generation mobile networks and devices as well. The mobile device is the physical equipment used by the end user, typically a subscriber to the wireless network. Typically, a mobile device is a 2.5G-compliant device, 3G-compliant device, or 4G/5G-compliant device that includes a subscriber identity module (SIM), which is a smart card that carries subscriber-specific information, mobile equipment (e.g., radio and associated signal processing devices), a user interface (or a man-machine interface (MMI)), and one or more interfaces to external devices (e.g., computers, PDAs, and the like). The computer may also include a memory or data store.
[0036] Herein referred to as web services describes a standardized way of integrating Web-based applications using the XML, SOAP, WSDL and UDDI open standards or any UDDI over an Internet protocol backbone. XML like languages are used to tag the data, SOAP like transfer protocols are employed to transfer the data, WSDL and other description tools are used for describing the services available and UDDI type enumeration standards are used for listing what services are available. Used primarily as a means for businesses to communicate with each other and with clients, Web services allow organizations to communicate data without intimate knowledge of each other's IT systems behind the firewall. Web services allow different applications from different sources to communicate with each other without time-consuming custom coding, and because all communication is in standardized languages, and the described web services are not tied to any one operating system or programming language. For example, Java can talk with Perl, Windows applications can talk with UNIX applications.
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[0037] Herein referred to as Internet of Things refers to a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. Machines have protocols and intelligence to interact with each other and humans.
[0038] A sensor mentioned herein is a device or devices that detect and responds to some type of input from the physical environment. The specific input could be light, heat, motion, moisture, pressure, or any one of a great number of other environmental phenomena or human interaction phenomena. The output is generally a signal that is converted to human-readable display at the sensor location or transmitted electronically over a network for reading or further processing. A sensor can be built into the main device or be external. In external sense it may have a separate power source and a means to communicate with the main computing or computer unit through technologies such as ZIGBEE, Bluetooth, wired communication, wireless network communication etc.
[0039] A portal herein mentions an electronic interface on any electronic device that allows display of pertinent information to the user.
[0040] FIG. 1 illustrates a system or determining an environment state, a user state, an equipment state and an activity, according to one embodiment of the present invention. With respect to FIG. 1, the system comprises a plurality of internal sensors 101, a processor 102, a memory 103, and a kiosk 104. The plurality of internal sensors 101 are configured to receive a separate input signal from the user during performance of an activity. The plurality of internal sensors 101 communicates a sensed data with the processor 102. The memory 103 is connected to the processor 102 and comprises a computer readable program. The computer readable program provides interaction between a computing device 105 and the kiosk 104. The kiosk 104 is connected to the memory 103 and the processor 102 for enabling a man-machine interface. The input signals delivered from the plurality of internal sensors to the processor are analyzed by the computer readable program as a function of a nonlinear as well as linear relationship for determining a user and an environment state. The analysis is
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compared to a baseline data for predictive determination of the user and the environment state of the before a repeated performance of the activity.
[0041] According to one embodiment of the present invention, the kiosk comprises an interactive screen, a biometric unit, an internet unit, a camera with microphone, an interactive display, an ultrasound sensor, a close circuit television, an internet of things (IOT) board, and a voltage regulator .
[0042] According to one embodiment of the present invention, the plurality of sensors comprises a temperature sensor, a humidity sensor, a moisture sensor, a soil moisture sensor, a soil pH level sensor and a plurality of air quality sensor.
[0043] According to one embodiment of the present invention, the baseline data is derived from the user and environment during a prior successful completion of the activity, wherein the baseline data is stored in the memory before a comparison with the input signals.
[0044] With respect to FIG. 2, a users’ cognitive states are detected and mapped using a plurality of sensors (201). The signal from the plurality of sensors are captured by hardware and software and the value derived from the signals are stored in a permanent or temporary data storage. For e.g. – an image is captured as a matrix of picture elements or pixels and a sound is captured as a sampled and quantified sound signal. Similarly, the sensor readings from sensors such as temperature sensor, humidity sensors etc. are captured and stored in temporary or permanent memory.
[0045] The signal is then passed through the denoising filters and through signal conditioning algorithms (202). The signal denoising and conditioning help in increasing the signal-to-noise ratio achieved through a preferred hardware or software. The existing algorithms for signal denoising and conditioning can be employed such as Gaussian filtering, wavelet denoising, thresholding etc. (OTT, 1988). The approach is to ensure that the signal has significant signal-to-noise ratio which allows meaningful interpretation of the gathered signal data. The signal standardization refers to ensuring signal from inputs is represented in a standard state being employed for recognition and template matching (203). The standard approach is to vary the signals sampling and quantification rates to
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ensure all signals are similar to the templates to ensure proper matching or converting signal into frequency domain or wavelet domain (Rabiner & Gold, 1975). The next stage is template matching or recognition (204). The template is sent to a tutoring portal for manipulating teaching techniques in a case of successful signal recognition (205 & 209). While in case of a failure in signal recognition, an input type of the signal is determined and furthermore samples of the signal are derived (206 & 207). The derived signal is saved in a database of the memory unit and sent again for template recognition (208). Further, an accuracy of the recognized template is detected. In case of in accuracy, the input type of the signal is determined and the signal template is sent to the memory unit (210 & 211). In case of an accurate template recognition, the display parameters are altered to suit the test subject’s cognitive state (212).
[0046]
[0047] For cognitive state recognition, a non-negative sparse representation-based classification algorithm using Mahalanobis distance is employed in the present invention. A problem of sparse representation using the constraint of non-negative sparse coefficient to obtain a discriminative representation is addressed in the present invention. Further, Euclidean distance is replaced with Mahalanobis distance to measure similarity between original data and reconstructed data. Then, the problem is reformulated to be an equivalent ????1- regularized least square problem for obtaining its solution.
[0048] Generally, given n high dimensional data points, A={a1,…..an}, some researches on manifold learning for instance LLE, has proved that these data lie on a lower dimensional manifold. Any data point ai ? A can be approximately represented by the linear combination of its neighboring data points. This kind of linear representation can be generalized to labelled data. Given data points {a1,…..an}, in one class (say calm state), a new data point a* in the same class can be represented as linear combination {a1,…..an},
………………………….(1)
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[0049] Alternatively, the linear combinations of n training samples {a1,…..an} span a linear subspace ?:
[0050] A new sample a* in the sample class approximately lie on the subspace. Linear representation for labelled data can be used in cognitive state recognition. Given sufficient K classes training samples, a basic problem in pattern recognition is to correctly determine the class of a new test sample. The system arrange nk training samples from the kth class as columns of the matrix ????k = [????1.………????k, nk] ? Rmxnk. Then, the training sample A=[A1…..AK] is obtained. Under the assumption of linear representation, a test sample of cognitive state y ? Rm will approximately lie on the linear subspace spanned by training samples,
……………………..(2)
[0051] or in matrix form,
……………………………(3)
[0052] Where x is the coefficient vector. For accurate reconstruction in lower dimensional space of sample y in class k,
………………(4)
[0053] If K is large, x will be sufficiently sparse. However, for many practical problems like cognitive state detection, completely accurate reconstruction is not feasible.
[0054] If m 0. If M = sI, Eq. (10) is equivalent to Eq. (8) with regularization coefficient s ????.
[0065] In our approach, the matrix M is determined by the importance of components of feature vectors. Moreover, the correlation can be ignored among different dimensions.
[0066] Using the Cholesky factorization, the problem of Mahalanobis distance based non-negative sparse representation can be solved by a standard optimization algorithm. Then, the classification algorithm is designed based on the idea of finding the minimal reconstruction error (Wright, Yang, Ganesh, Sastry, & Ma, 2009).
[0067] For the Nonnegative l regularized least square, Since M is a positive definite matrix, the Cholesky factorization of M is
………..(11)
[0068] Where L is an upper triangular matrix with positive diagonal entries. From Eq. (11), the objective function in Eq. (10) can be formulated as
………..(12)
[0069] Set A’=LA and y’=Ly. Given parameter ???? > 0, the problem is equal to the following problem:
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………..(13)
[0070] Where ???? = ????-1 . Eq. (13) is a non-negative l1 – regularized east square problem, which can be solved by second-order cone programming.
[0071] The recognition algorithm builds on the SRC algorithm. Given a test sample y, the sparse coefficient is computed. Then, the class of the test sample y is calculated from a reconstruction error between the test sample y and the training samples of class k,
……………(14)
[0072] Where, the residual error is computed using Mahalanobis distance. For each class k, is the characteristic function which selects the coefficient associated with the kth class. The class C(y) which test sample y belongs to it determined by
……………(15)
[0073] An overall algorithm for recognition of cognitive states is as follows:
[0074] Input Test Sample y, training matrix A, parameter ????
1. Normalize the columns of A using l2 norm
2. Solve
3. Compute reconstruction error ????,(???? = 1,…. ,????):
[0075] Output C(y), where
[0076] The said classification approach is implemented to get the physiological data of users and their performance in games. The data is then organized into a linear vector. The linear vectors are organized in training matrix. After the system is trained, the instantaneous samples of performance are gathered and cognitive state is determined by the classification algorithm.
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[0077] Once the input signal is classified, it is fed into the display system through a rule-based classification system. A rule-based classification system allows the recognized class of the input to be associated with display parameters which include but not limited to brightness, color, content of the display, font, font size, font style etc. The system also varies the presentation to the tutor/student to enable them to understand the cognitive state of the other person(s) on the call and adapt their presentation to ensure maximum knowledge transfer. The system also produces a report of the system by using an input to dynamically change the display parameters to produce desired response in a real time.
[0078] Enabling the provision of good education and healthcare, sanitation and nutrition, increased agricultural output, the growth of productive enterprises to boost incomes, and enhanced security, gender equality and democratic engagement lies at the heart of delivering quality life to citizens in rural areas. While conventional development is important, most of these services and systems can be greatly enhanced through use of digital technologies. The key is to provide a good user experience and to offer a combination of services choreographed to serve the community. Also all the services need to be monitored to enable a comprehensive measure of the health of a smart village. This health measure can provide a way to judge the current status of the village and then guide the further investments into that community.
[0079] The present invention involves a computerized method and apparatus for measuring inputs from environment like temperature, moisture, soil moisture, soil Ph levels, air quality etc. These are supplemented with questionnaires and other tools to gauge the current condition of the village. One or more embodiments of this disclosure are intended to encompass method or feedback of altering a multimodal display system through sensors and other inputs representing environment and user behaviour. It is to be understood that the computerized system and method disclosed may utilize conventional hardware now known such as, but not limited to, computers, mobiles, tablets, processors, servers, memory devices, storage devices, transmitters, communication devices,
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and any other appropriate hardware that one of ordinary skill would recognize as appropriate for implementation. The interaction with the system is possible through speech and gesture.
[0080] The preferred method for determining environment state or user behaviour state is to capture inputs from a plurality of sensors and denoise and condition the signals. This includes usage signals and environmental signals. Signal standardization is then done following which template recognition is performed comparing input signals to stored database remote or on the device, of templates representing states of Smart Village. The signal is recognized and if correctly recognized it is sent to the smart connect system for display of the Smart Village Health. If the signal is not recognized user input is gathered for further addition to the database. If the signal is inaccurately classified then again user input is gathered and added to the database to further improve algorithms.
G) ADVANTAGES OF THE INVENTION
[0081] The present invention provides a one stop solution for social, behavioral, cultural and intellectual requirement for a rural population. The said kiosk facilitates variable online and offline solutions and requires minimum installation as well as maintenance cost. Thus, the present invention allows a rural population to join the main stream of a geographical region in various areas of development.
[0082] It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the claims.