Optimal Bangla Keyboard Layout using Association Rule of Data Mining
Md. Hijbul Alam, Abdul Kadar Muhammad Masum, Mohammad Mahadi Hassan,, and S. M. Kamruzzaman

TL;DR
This paper introduces an optimized Bangla keyboard layout that uses data mining association rules to distribute characters evenly, aiming to increase typing speed and reduce effort by balancing load across both hands.
Contribution
It presents a novel approach using data mining association rules to design a Bangla keyboard layout that enhances typing efficiency and balance.
Findings
Improved typing speed with the new layout
Balanced load distribution across hands
Better performance compared to existing layouts
Abstract
In this paper we present an optimal Bangla Keyboard Layout, which distributes the load equally on both hands so that maximizing the ease and minimizing the effort. Bangla alphabet has a large number of letters, for this it is difficult to type faster using Bangla keyboard. Our proposed keyboard will maximize the speed of operator as they can type with both hands parallel. Here we use the association rule of data mining to distribute the Bangla characters in the keyboard. First, we analyze the frequencies of data consisting of monograph, digraph and trigraph, which are derived from data wire-house, and then used association rule of data mining to distribute the Bangla characters in the layout. Finally, we propose a Bangla Keyboard Layout. Experimental results on several keyboard layout shows the effectiveness of the proposed approach with better performance.
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Taxonomy
TopicsVideo Analysis and Summarization · Interactive and Immersive Displays · Human Motion and Animation
