1. A computer implemented method for assisting a user to learn and/or communicate in a visual communication language in one or more of a plurality of modes, comprising: providing a multimodal communication assist application embedded in a non-transitory computer readable storage medium executable by a processor of said user, wherein said multimodal communication assist application provides an interactive interface to said user for enabling communication of said visual communication language in said modes; providing a plurality of multimodal communication mappers to said user by said multimodal communication assist application via said interactive interface, wherein said multimodal communication mappers map a modal input in one of said modes to a modal output in another one or more of said modes; receiving a selection of one of said multimodal communication mappers from said user via said interactice interface; acquiring user-defined communication mappers by said multimodal communication assist application; adapting said multimodal communication assist application for said received user-selected one of said multimodal communication mappers and said user-defined communication mappers acquired by said multimodal communication assist application; determining characteristic information of said user by said multimodal communication assist application based on one or more of said user-selected multimodal communication mapper and said acquired user-defined communication mappers; determining a delay factor for said user based on a calculation of response times of said user for repeating each of a set of pre-stored gestures presented to said user along with a corresponding set of words, by said multimodal communication assist application, using a set of formulas: 
 Delay Factor=Total time T t /( C− 2); 
 T t =( T 1 +T 2 +T 3 + . . . +T C −T max −T min ); wherein T 1 , T 2 , T 3 , . . . , T C are response times of said user for repeating each of a set of pre-stored gestures presented to said user along with a corresponding set of words; C is total number of said pre-stored gestures and words presented to said user; said T max is slowest among the response times; and said T min is fastest among the response times; capturing said modal input in one of said modes from said user via said interactive interface based on said determined delay factor and one or more of said characteristic information by said multimodal communication assist application, wherein said multimodal communication assist application controls sampling rate of said capturing of said modal input based on user's proficiency level, and wherein said proficiency level of said user is determined by said multimodal communication assist application based on said determined delay factor using a criteria set comprising: (a) if said delay factor is greater than or equal to 2.5 seconds, then said multimodal communication assist application defines and displays said proficiency level of said user as “beginner” on said interactive interface; (b) if said delay factor is greater than or equal to 2 seconds and less than 2.5 seconds, then said multimodal communication assist application defines and displays said proficiency level of said user as “advanced beginner” on said interactive interface; (c) if said delay factor is greater than or equal to 1.5 seconds and less than 2 seconds, then said multimodal communication assist defines and displays said proficiency level of said user as “competent” on said interactive interface; (d) if said delay factor is greater than or equal to 1 second and less than 1.5 seconds, then said multimodal communication assist defines and displays said proficiency level of said user as “professional” on said interactive interface; and (e) if said delay factor is less than 1 second, then said multimodal communication assist application defines and displays said proficiency level of said user as “expert” on said interactive interface; and processing and transforming said captured modal input in said one of said modes into said modal output in said another one or more of said modes using said selected one or more multimodal communication mappers by said multimodal communication assist application, wherein said multimodal communication assist application renders said modal output in said another one or more of said modes to said user via said interactive interface for assisting said user to learn and/or communicate in said visual communication language in said one or more of said modes.
1. A computer implemented method for assisting a user to learn and/or communicate in a visual communication language in one or more of a plurality of modes, comprising: providing a multimodal communication assist application embedded in a non-transitory computer readable storage medium executable by a processor of said user, wherein said multimodal communication assist application provides an interactive interface to said user for enabling communication of said visual communication language in said modes; providing a plurality of multimodal communication mappers to said user by said multimodal communication assist application via said interactive interface, wherein said multimodal communication mappers map a modal input in one of said modes to a modal output in another one or more of said modes; receiving a selection of one of said multimodal communication mappers from said user via said interactice interface; acquiring user-defined communication mappers by said multimodal communication assist application; adapting said multimodal communication assist application for said received user-selected one of said multimodal communication mappers and said user-defined communication mappers acquired by said multimodal communication assist application; determining characteristic information of said user by said multimodal communication assist application based on one or more of said user-selected multimodal communication mapper and said acquired user-defined communication mappers; determining a delay factor for said user based on a calculation of response times of said user for repeating each of a set of pre-stored gestures presented to said user along with a corresponding set of words, by said multimodal communication assist application, using a set of formulas: 
 Delay Factor=Total time T t /( C− 2); 
 T t =( T 1 +T 2 +T 3 + . . . +T C −T max −T min ); wherein T 1 , T 2 , T 3 , . . . , T C are response times of said user for repeating each of a set of pre-stored gestures presented to said user along with a corresponding set of words; C is total number of said pre-stored gestures and words presented to said user; said T max is slowest among the response times; and said T min is fastest among the response times; capturing said modal input in one of said modes from said user via said interactive interface based on said determined delay factor and one or more of said characteristic information by said multimodal communication assist application, wherein said multimodal communication assist application controls sampling rate of said capturing of said modal input based on user's proficiency level, and wherein said proficiency level of said user is determined by said multimodal communication assist application based on said determined delay factor using a criteria set comprising: (a) if said delay factor is greater than or equal to 2.5 seconds, then said multimodal communication assist application defines and displays said proficiency level of said user as “beginner” on said interactive interface; (b) if said delay factor is greater than or equal to 2 seconds and less than 2.5 seconds, then said multimodal communication assist application defines and displays said proficiency level of said user as “advanced beginner” on said interactive interface; (c) if said delay factor is greater than or equal to 1.5 seconds and less than 2 seconds, then said multimodal communication assist defines and displays said proficiency level of said user as “competent” on said interactive interface; (d) if said delay factor is greater than or equal to 1 second and less than 1.5 seconds, then said multimodal communication assist defines and displays said proficiency level of said user as “professional” on said interactive interface; and (e) if said delay factor is less than 1 second, then said multimodal communication assist application defines and displays said proficiency level of said user as “expert” on said interactive interface; and processing and transforming said captured modal input in said one of said modes into said modal output in said another one or more of said modes using said selected one or more multimodal communication mappers by said multimodal communication assist application, wherein said multimodal communication assist application renders said modal output in said another one or more of said modes to said user via said interactive interface for assisting said user to learn and/or communicate in said visual communication language in said one or more of said modes. 6. The computer implemented method of claim 1 , wherein said processing and said transformation of said captured modal input in a visual mode of said modes received from an input device into said modal output in a text mode and/or an audio mode of said modes by said multimodal communication assist application comprises: detecting and extracting one or more visual elements from said captured modal input in said visual mode based on said characteristic information of said user; scaling said extracted one or more visual elements to a predetermined scale; segmenting each of said scaled one or more visual elements into a predetermined number of blocks; determining a numerical descriptor for said each of said scaled one or more visual elements based on number of highlighted visual constituents in each of said predetermined number of said blocks; recognizing a gesture from a plurality of gestures stored in a database maintained by said multimodal communication assist application based on said determined numerical descriptor; and associating said recognized gesture with one or more text elements and/or one or more audio elements stored in said database to generate said modal output in said text mode and/or said audio mode respectively, that corresponds to said captured modal input in said visual mode, wherein said multimodal communication assist application renders said generated modal output in said text mode and/or said audio mode to said user via said interactive interface for assisting said user to learn and/or communicate in said visual communication language.