Virtual Responsive Learning Assistance- A Learning Aid for Primary Level Education

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dc.contributor.advisorMd. Shahriar Karim
dc.contributor.authorShimanto Haque
dc.contributor.authorDevasish Ghosh
dc.contributor.authorMohammad Khurshed Alam
dc.contributor.id1331333042
dc.contributor.id1431154642
dc.contributor.id1420799042
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2025-04-15
dc.date.accessioned2025-04-15T09:05:32Z
dc.date.available2025-04-15T09:05:32Z
dc.date.issued2019
dc.description.abstractThis paper deals with recognizing characters written on thin air. The aim of this project was to enhance the learning method of primary school education in learning alphabets and numbers and counting. Children of primary level can draw characters in thin air, and see three dimensional or two dimensional images of the characters they write on the screen as a means of Augmented Reality, and also see examples associated with the characters and numbers. This is done by identifying a certain gesture of the hand as a pointer and then tracking that pointer as a means of drawing a character. The detection of the pointer is done with one single-lens web camera and without the usage of any motion sensors or any other external devices. Google’s Tensorflow module was used for training the pointer, and the entire project is done with simple python libraries such as OpenCV, numpy and others. The system requires the minimum manual involvement, and operates within three keystrokes.
dc.description.degreeUndergraduate
dc.identifier.cd600000488
dc.identifier.print-thesisTo be assigned
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/1089
dc.language.isoen
dc.publisherNorth South University
dc.rights© NSU Library
dc.titleVirtual Responsive Learning Assistance- A Learning Aid for Primary Level Education
dc.typeThesis
oaire.citation.endPage58
oaire.citation.startPage1
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