Morse code-based communication system focused on amyotrophic lateral sclerosis patients


EOI: 10.11242/viva-tech.01.05.094

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Citation

Hussain Thanawala, Sanika Suthar, Simran Thakur, Bhavika Thakur, "Morse code-based communication system focused on amyotrophic lateral sclerosis patients", VIVA-IJRI Volume 1, Issue 5, Article 94, pp. 1-4, 2022. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

This paper is based on the application of the Morse Code using facial feature techniques for the patients of amyotrophic sclerosis so they can communicate with each other and the staff. Amyotrophic lateral sclerosis also known as motor neuron disease happens making loss of motor neurons that helps to control voluntary muscle making a person highly dependent on other person for their daily activities. Various other techniques could be used but this system is created for its low-cost advantage for everyone can use it. In this software program, blinking of an eye is taken as input which is modified into words. Haar filters and cascade classifier is applied which are implemented in visual studio C. Many tests were made on five ALS patients who lost their speech ability were trained for using application software. The tests were done using two environments, one with low light intensity and the other with normal light intensity. This algorithm is consisting of five different parts: acquisition, processing, coding, interpretation and visualization.

Keywords

Acquisition, Augmentation, Amyotrophic lateral sclerosis, grayscale, histogram.

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