E-Learning of Mudra Dance for Visually Impaired

Abstract

A E-Learning of Mudra Dance for Visually Impaired with respect to deep learning focused on neural network models to learn dance in online with the help of trained data for the visually impaired comprising Chat room(108) for making Discussion and clarifying doubts and E-Learning of Mudra Dance (118) for Visually Impaired.

Specification

Description:The present invention develops a website (100) where user visits the website(101) E-Learning of Mudra Dance for Visually Impaired (102) If the user enters the correct credentials(103), then they can access the dashboard (104), otherwise they will get the error message (105) to enter the correct user id and password.(113) In Dash board user can select chatroom or Game(106), If user selects chatroom(108), Dancer and learner can engage in discussion(110), by clarifying doubts if any. This chat logs are stored in Database (116). If user selects Mudra game (109), Then camera will get activated user can learn mudras through camera interaction (111). , C , Claims:1)A E-Learning of Mudra Dance for Visually Impaired(100) with respect to deep learning focused on neural network models to learn dance with the help of trained data for the visually impaired comprising:
i. a Chat room(108) for making Discussion(110) and can clarify doubts;
ii. a E-Learning of Mudra Dance (118) for Visually impaired uses a Mudra game were trained data are fed to the model to train the user;
2)A E-Learning of Mudra Dance for Visually Impaired(100) as claimed in claim 1, wherein the system captures the user movements(109), hand movements(120) the model analyses the hand pose(122) and recognizes the correct Mudra(124) from the trained dataset, comparing live facial features with stored data to identify the correct Mudra with limited training data then the user goes to the next level;
3)A E-Learning of Mudra Dance for Visually Impaired (100) as claimed in claim 1, wherein the model processes the movements (109), with trained model, if the accuracy level is less and correct mudra sign is not recognised (125), sends a feedback with visual/audio guidance(128) and updates the database (116) as long as the user are within its view, if the accuracy level is high and Mudra is recognized (124) the user goes to the next level. The log is continually updated to maintain the progress (130).

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